Articles | Volume 25, issue 2
https://doi.org/10.5194/nhess-25-879-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-879-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Feb 2025
Research article |
| 26 Feb 2025
| 26 Feb 2025
Content analysis of multi-annual time series of flood-related Twitter (X) data
Chair of Smart Water Networks, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Section 4.4: Hydrology, GFZ Helmholtz Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Einstein Center Digital Future, Wilhelmstraße 67, 10117 Berlin, Germany
Heidi Kreibich
Section 4.4: Hydrology, GFZ Helmholtz Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Jens A. de Bruijn
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Jeroen C. J. H. Aerts
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Andrea Cominola
Chair of Smart Water Networks, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Einstein Center Digital Future, Wilhelmstraße 67, 10117 Berlin, Germany
Related authors
No articles found.
Vylon Ooms, Thijs Endendijk, Jeroen C. J. H. Aerts, W. J. Wouter Botzen, and Peter Robinson
EGUsphere, https://doi.org/10.5194/egusphere-2025-1882, https://doi.org/10.5194/egusphere-2025-1882, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
Intense rainfall events cause increasingly severe damages to urban areas globally. We use unique insurance claims data to study the effect of nature-based and other adaptation measures on damage. We compare an area in Amsterdam where measures have been implemented to a similar, adjacent area without measures using an innovative method. We find a significant reduction of damage where the adaptation measures were implemented. Urban areas can reduce rain damage by implementing adaptation measures.
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 1501–1520, https://doi.org/10.5194/nhess-25-1501-2025, https://doi.org/10.5194/nhess-25-1501-2025, 2025
Short summary
Short summary
This work uses agent-based modelling to evaluate the impact of flood warning and evacuation systems on human losses during the 2021 Ahr Valley flood in Germany. While the first flood warning with evacuation instructions is identified as timely, its lack of detail and effectiveness resulted in low public risk awareness. Better dissemination of warnings and improved risk perception and preparedness among the population could reduce casualties by up to 80 %.
Ravi Kumar Guntu, Guilherme Samprogna Mohor, Annegret H. Thieken, Meike Müller, and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2025-1715, https://doi.org/10.5194/egusphere-2025-1715, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
The 2021 flood in Germany caused severe damage to companies, with over half reporting losses above €100,000. Using probabilistic models, we identify key factors driving direct damage and business interruption. Water depth, flow velocity and company exposure were key factors, but preparedness played a crucial role. Companies that took good precaution recovered faster. Our findings stress the value of early warnings and risk communication to reduce damage from unprecedented flood events.
Apoorva Singh, Ravi Kumar Guntu, Nivedita Sairam, Kasra Rafiezadeh Shahi, Anna Buch, Melanie Fischer, Chandrika Thulaseedharan Dhanya, and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2025-1512, https://doi.org/10.5194/egusphere-2025-1512, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
We develop novel probabilistic models to estimate flash flood losses of companies and households in Germany. Using multiple flash flood events, we identify key drivers of flash floods loss. FLEMO flash model reveals that for companies, the effectiveness of emergency measures is crucial in mitigating losses. In contrast, household benefit more from knowledge about emergency response, suggesting that enhancing preparedness can effectively reduce flash flood losses.
Tim Busker, Daniela Rodriguez Castro, Sergiy Vorogushyn, Jaap Kwadijk, Davide Zoccatelli, Rafaella Loureiro, Heather J. Murdock, Laurent Pfister, Benjamin Dewals, Kymo Slager, Annegret H. Thieken, Jan Verkade, Patrick Willems, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2025-828, https://doi.org/10.5194/egusphere-2025-828, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
In July 2021, the Netherlands, Luxembourg, Germany, and Belgium were hit by an extreme flood event with over 200 fatalities. Our study provides, for the first time, critical insights into the operational flood early-warning systems in this entire region. Based on 13 expert interviews, we conclude that the systems strongly improved in all countries. Interviewees stressed the need for operational impact-based forecasts, but emphasized that its operational implementation is challenging.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025, https://doi.org/10.5194/nhess-25-1013-2025, 2025
Short summary
Short summary
Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated farmers' individual choices – like changing crops or digging wells – and their effects on profits, yields, and water resources. Results show these adaptations, while improving incomes, ultimately increase drought vulnerability and damage. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrological models in shaping policies to lessen drought impacts.
Belinda Rhein and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 581–589, https://doi.org/10.5194/nhess-25-581-2025, https://doi.org/10.5194/nhess-25-581-2025, 2025
Short summary
Short summary
In July 2021, flooding killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, and early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Kasra Rafiezadeh Shahi, Nivedita Sairam, Lukas Schoppa, Le Thanh Sang, Do Ly Hoai Tan, and Heidi Kreibich
EGUsphere, https://doi.org/10.22541/essoar.172081523.38063336/v1, https://doi.org/10.22541/essoar.172081523.38063336/v1, 2025
Short summary
Short summary
Ho Chi Minh City (HCMC) faces severe flood risks from climatic and socio-economic changes, requiring effective adaptation solutions. Flood loss estimation is crucial, but advanced probabilistic models addressing key drivers and uncertainty are lacking. This study presents a probabilistic flood loss model with a feature selection paradigm for HCMC’s residential sector. Experiments using new survey data from flood-affected households demonstrate the model's superior performance.
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 24, 4409–4429, https://doi.org/10.5194/nhess-24-4409-2024, https://doi.org/10.5194/nhess-24-4409-2024, 2024
Short summary
Short summary
As sea levels rise, coastal areas will experience more frequent flooding, and salt water will start seeping into the soil, which is a serious issue for farmers who rely on good soil quality for their crops. Here, we studied coastal Mozambique to understand the risks from sea level rise and flooding by looking at how salt intrusion affects farming and how floods damage buildings. We find that 15 %–21 % of coastal households will adapt and 13 %–20 % will migrate to inland areas in the future.
Sadhana Nirandjan, Elco E. Koks, Mengqi Ye, Raghav Pant, Kees C. H. Van Ginkel, Jeroen C. J. H. Aerts, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 4341–4368, https://doi.org/10.5194/nhess-24-4341-2024, https://doi.org/10.5194/nhess-24-4341-2024, 2024
Short summary
Short summary
Critical infrastructures (CIs) are exposed to natural hazards, which may result in significant damage and burden society. Vulnerability is a key determinant for reducing these risks, yet crucial information is scattered in the literature. Our study reviews over 1510 fragility and vulnerability curves for CI assets, creating a unique publicly available physical vulnerability database that can be directly used for hazard risk assessments, including floods, earthquakes, windstorms, and landslides.
Julius Schlumberger, Robert Šakić Trogrlić, Jeroen C. J. H. Aerts, Jung-Hee Hyun, Stefan Hochrainer-Stigler, Marleen de Ruiter, and Marjolijn Haasnoot
EGUsphere, https://doi.org/10.5194/egusphere-2024-3655, https://doi.org/10.5194/egusphere-2024-3655, 2024
Short summary
Short summary
This study presents a dashboard to help decision-makers manage risks in a changing climate. Using interactive visualizations, it simplifies complex choices, even with uncertain information. Tested with 54 users of varying expertise, it enabled accurate responses to 71–80 % of questions. Users valued its scenario exploration and detailed data features. While effective, the guidance and set of visualizations could be extended and the prototype could be adapted for broader applications.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
Short summary
Short summary
Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Ileen N. Streefkerk, Jeroen C. J. H. Aerts, Jens de Bruijn, Khalid Hassaballah, Rhoda Odongo, Teun Schrieks, Oliver Wasonga, and Anne F. Van Loon
EGUsphere, https://doi.org/10.5194/egusphere-2024-2382, https://doi.org/10.5194/egusphere-2024-2382, 2024
Short summary
Short summary
In East Africa are conflict over water and vegetation prominent. On top of that, water abstraction of commercial farms are increasing the competition of water. Therefore, this study has developed a model which can investigate what the influence is of these farming activities on the water balance of the region and people's livelihood activities in times of dry periods. We do that by ‘replacing’ the farms in the model, and see what the effect would be if there were communities or forests instead.
Dominik Paprotny, Belinda Rhein, Michalis I. Vousdoukas, Paweł Terefenko, Francesco Dottori, Simon Treu, Jakub Śledziowski, Luc Feyen, and Heidi Kreibich
Hydrol. Earth Syst. Sci., 28, 3983–4010, https://doi.org/10.5194/hess-28-3983-2024, https://doi.org/10.5194/hess-28-3983-2024, 2024
Short summary
Short summary
Long-term trends in flood losses are regulated by multiple factors, including climate variation, population and economic growth, land-use transitions, reservoir construction, and flood risk reduction measures. Here, we reconstruct the factual circumstances in which almost 15 000 potential riverine, coastal and compound floods in Europe occurred between 1950 and 2020. About 10 % of those events are reported to have caused significant socioeconomic impacts.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Short summary
Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2024-2340, https://doi.org/10.5194/egusphere-2024-2340, 2024
Short summary
Short summary
Many households in Vietnam depend on revenues from microbusinesses (shop-houses). However, losses caused by regular flooding to the microbusinesses are not modelled. Business turnover, building age and water depth are found to be the main drivers of flood losses to microbusinesses. We built and validated probabilistic models (Non-parametric Bayesian Networks) that estimate flood losses to microbusinesses. The results help in flood risk management and adaption decision making for microbusinesses.
Irene Benito, Jeroen C. J. H. Aerts, Philip J. Ward, Dirk Eilander, and Sanne Muis
EGUsphere, https://doi.org/10.5194/egusphere-2024-1354, https://doi.org/10.5194/egusphere-2024-1354, 2024
Short summary
Short summary
Global flood models are key for mitigating coastal flooding impacts, yet they still have limitations to provide actionable insights locally. We present a multiscale framework that couples dynamic water level and flood models, and bridges between fully global and local modelling approaches. We apply it to three storms to present the merits of a multiscale approach. Our findings reveal that the importance of model refinements varies based on the study area characteristics and the storm’s nature.
Seth Bryant, Heidi Kreibich, and Bruno Merz
Proc. IAHS, 386, 181–187, https://doi.org/10.5194/piahs-386-181-2024, https://doi.org/10.5194/piahs-386-181-2024, 2024
Short summary
Short summary
Our study found that simplifying data in flood risk models can introduce errors. We tested 344 damage functions and found errors up to 40 % of the total asset value. This means large-scale flood risk assessments may have significant errors due to the modelling approach. Our research highlights the need for more attention to data aggregation in flood risk models.
Seth Bryant, Guy Schumann, Heiko Apel, Heidi Kreibich, and Bruno Merz
Hydrol. Earth Syst. Sci., 28, 575–588, https://doi.org/10.5194/hess-28-575-2024, https://doi.org/10.5194/hess-28-575-2024, 2024
Short summary
Short summary
A new algorithm has been developed to quickly produce high-resolution flood maps. It is faster and more accurate than current methods and is available as open-source scripts. This can help communities better prepare for and mitigate flood damages without expensive modelling.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
Short summary
Short summary
Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
Short summary
Short summary
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, and Jeroen C. J. H. Aerts
Geosci. Model Dev., 16, 2437–2454, https://doi.org/10.5194/gmd-16-2437-2023, https://doi.org/10.5194/gmd-16-2437-2023, 2023
Short summary
Short summary
We present a computer simulation model of the hydrological system and human system, which can simulate the behaviour of individual farmers and their interactions with the water system at basin scale to assess how the systems have evolved and are projected to evolve in the future. For example, we can simulate the effect of subsidies provided on investment in adaptation measures and subsequent effects in the hydrological system, such as a lowering of the groundwater table or reservoir level.
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
Short summary
Short summary
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 14, 255–272, https://doi.org/10.5194/esd-14-255-2023, https://doi.org/10.5194/esd-14-255-2023, 2023
Short summary
Short summary
Spatially compounding soy harvest failures can have important global impacts. Using causal networks, we show that soy yields are predominately driven by summer soil moisture conditions in North and South America. Summer soil moisture is affected by antecedent soil moisture and by remote extra-tropical SST patterns in both hemispheres. Both of these soil moisture drivers are again influenced by ENSO. Our results highlight physical pathways by which ENSO can drive spatially compounding impacts.
Paolo Scussolini, Job Dullaart, Sanne Muis, Alessio Rovere, Pepijn Bakker, Dim Coumou, Hans Renssen, Philip J. Ward, and Jeroen C. J. H. Aerts
Clim. Past, 19, 141–157, https://doi.org/10.5194/cp-19-141-2023, https://doi.org/10.5194/cp-19-141-2023, 2023
Short summary
Short summary
We reconstruct sea level extremes due to storm surges in a past warmer climate. We employ a novel combination of paleoclimate modeling and global ocean hydrodynamic modeling. We find that during the Last Interglacial, about 127 000 years ago, seasonal sea level extremes were indeed significantly different – higher or lower – on long stretches of the global coast. These changes are associated with different patterns of atmospheric storminess linked with meridional shifts in wind bands.
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
Nat. Hazards Earth Syst. Sci., 22, 3701–3724, https://doi.org/10.5194/nhess-22-3701-2022, https://doi.org/10.5194/nhess-22-3701-2022, 2022
Short summary
Short summary
In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena, we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
Short summary
Short summary
The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Marthe L. K. Wens, Anne F. van Loon, Ted I. E. Veldkamp, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 22, 1201–1232, https://doi.org/10.5194/nhess-22-1201-2022, https://doi.org/10.5194/nhess-22-1201-2022, 2022
Short summary
Short summary
In this paper, we present an application of the empirically calibrated drought risk adaptation model ADOPT for the case of smallholder farmers in the Kenyan drylands. ADOPT is used to evaluate the effect of various top-down drought risk reduction interventions (extension services, early warning systems, ex ante cash transfers, and low credit rates) on individual and community drought risk (adaptation levels, food insecurity, poverty, emergency aid) under different climate change scenarios.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary
Short summary
To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Annegret H. Thieken, Guilherme Samprogna Mohor, Heidi Kreibich, and Meike Müller
Nat. Hazards Earth Syst. Sci., 22, 165–185, https://doi.org/10.5194/nhess-22-165-2022, https://doi.org/10.5194/nhess-22-165-2022, 2022
Short summary
Short summary
Various floods hit Germany recently. While there was a river flood with some dike breaches in 2013, flooding in 2016 resulted directly from heavy rainfall, causing overflowing drainage systems in urban areas and destructive flash floods in steep catchments. Based on survey data, we analysed how residents coped with these different floods. We observed significantly different flood impacts, warnings, behaviour and recovery, offering entry points for tailored risk communication and support.
Valeria Cigala, Giulia Roder, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 85–96, https://doi.org/10.5194/nhess-22-85-2022, https://doi.org/10.5194/nhess-22-85-2022, 2022
Short summary
Short summary
Non-male scientists constitute a minority in the geoscience professional environment, and they are underrepresented in disaster risk reduction planning. So far the international agenda has failed to effectively promote gender inclusion in disaster policy, preventing non-male scientists from career development and recognition. Here we share the thoughts, experiences, and priorities of women and non-binary scientists as a starting point to expand the discourse and promote intersectional research.
Raed Hamed, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 12, 1371–1391, https://doi.org/10.5194/esd-12-1371-2021, https://doi.org/10.5194/esd-12-1371-2021, 2021
Short summary
Short summary
Soy yields in the US are affected by climate variability. We identify the main within-season climate drivers and highlight potential compound events and associated agricultural impacts. Our results show that soy yields are most negatively influenced by the combination of high temperature and low soil moisture during the summer crop reproductive period. Furthermore, we highlight the role of temperature and moisture coupling across the year in generating these hot–dry extremes and linked impacts.
Gustavo Andrei Speckhann, Heidi Kreibich, and Bruno Merz
Earth Syst. Sci. Data, 13, 731–740, https://doi.org/10.5194/essd-13-731-2021, https://doi.org/10.5194/essd-13-731-2021, 2021
Short summary
Short summary
Dams are an important element of water resources management. Data about dams are crucial for practitioners, scientists, and policymakers. We present the most comprehensive open-access dam inventory for Germany to date. The inventory combines multiple sources of information. It comprises 530 dams with information on name, location, river, start year of construction and operation, crest length, dam height, lake area, lake volume, purpose, dam structure, and building characteristics.
Marco Cerri, Max Steinhausen, Heidi Kreibich, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 21, 643–662, https://doi.org/10.5194/nhess-21-643-2021, https://doi.org/10.5194/nhess-21-643-2021, 2021
Short summary
Short summary
Effective flood management requires information about the potential consequences of flooding. We show how openly accessible data from OpenStreetMap can support the estimation of flood damage for residential buildings. Working with methods of machine learning, the building geometry is used to predict flood damage in combination with information about inundation depth. Our approach makes it easier to transfer models to regions where no detailed data of flood impacts have been observed yet.
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020, https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary
Short summary
Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Jens A. de Bruijn, James E. Daniell, Antonios Pomonis, Rashmin Gunasekera, Joshua Macabuag, Marleen C. de Ruiter, Siem Jan Koopman, Nadia Bloemendaal, Hans de Moel, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-282, https://doi.org/10.5194/nhess-2020-282, 2020
Revised manuscript not accepted
Short summary
Short summary
Following hurricanes and other natural hazards, it is important to quickly estimate the damage caused by the hazard such that recovery aid can be granted from organizations such as the European Union and the World Bank. To do so, it is important to estimate the vulnerability of buildings to the hazards. In this research, we use post-disaster observations from social media to improve these vulnerability assessments and show its application in the Bahamas following Hurricane Dorian.
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
Short summary
Short summary
The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 20, 967–979, https://doi.org/10.5194/nhess-20-967-2020, https://doi.org/10.5194/nhess-20-967-2020, 2020
Short summary
Short summary
For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
Dominik Paprotny, Heidi Kreibich, Oswaldo Morales-Nápoles, Paweł Terefenko, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 20, 323–343, https://doi.org/10.5194/nhess-20-323-2020, https://doi.org/10.5194/nhess-20-323-2020, 2020
Short summary
Short summary
Houses and their contents in Europe are worth trillions of euros, resulting in high losses from natural hazards. Hence, risk assessments need to reliably estimate the size and value of houses, including the value of durable goods kept inside. In this work we show how openly available or open datasets can be used to predict the size of individual residential buildings. Further, we provide standardized monetary values of houses and contents per square metre of floor space for 30 countries.
Johanna Englhardt, Hans de Moel, Charles K. Huyck, Marleen C. de Ruiter, Jeroen C. J. H. Aerts, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 19, 1703–1722, https://doi.org/10.5194/nhess-19-1703-2019, https://doi.org/10.5194/nhess-19-1703-2019, 2019
Short summary
Short summary
Large-scale risk assessments can be improved by a more direct relation between the type of exposed buildings and their flood impact. Compared to the common land-use-based approach, this model reflects heterogeneous structures and defines building-material-based vulnerability classes. This approach is particularly interesting for areas with large variations of building types, such as developing countries and large scales, and enables vulnerability comparison across different natural disasters.
Shiqiang Du, Xiaotao Cheng, Qingxu Huang, Ruishan Chen, Philip J. Ward, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 19, 715–719, https://doi.org/10.5194/nhess-19-715-2019, https://doi.org/10.5194/nhess-19-715-2019, 2019
Short summary
Short summary
A mega-flood in 1998 caused tremendous losses in China and triggered major policy adjustments in flood-risk management. This paper rethinks these policy adjustments and discusses how China should adapt to newly emerging flood challenges. We suggest that China needs novel flood-risk management approaches to address the new challenges from rapid urbanization and climate change. These include risk-based urban planning and a coordinated water governance system.
Heidi Kreibich, Thomas Thaler, Thomas Glade, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 19, 551–554, https://doi.org/10.5194/nhess-19-551-2019, https://doi.org/10.5194/nhess-19-551-2019, 2019
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Björn Guse, Heiko Apel, Heidi Kreibich, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 18, 3089–3108, https://doi.org/10.5194/nhess-18-3089-2018, https://doi.org/10.5194/nhess-18-3089-2018, 2018
Short summary
Short summary
We present a comprehensive sensitivity analysis considering changes along the complete flood risk chain to understand how changes in different drivers affect flood risk. Results show that changes in dike systems or in vulnerability may outweigh changes in often investigated components, such as climate change. Although the specific results are conditional on the case study and assumptions, they highlight the need for a broader consideration of potential drivers of change in a comprehensive way.
Giuliano Di Baldassarre, Heidi Kreibich, Sergiy Vorogushyn, Jeroen Aerts, Karsten Arnbjerg-Nielsen, Marlies Barendrecht, Paul Bates, Marco Borga, Wouter Botzen, Philip Bubeck, Bruna De Marchi, Carmen Llasat, Maurizio Mazzoleni, Daniela Molinari, Elena Mondino, Johanna Mård, Olga Petrucci, Anna Scolobig, Alberto Viglione, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 5629–5637, https://doi.org/10.5194/hess-22-5629-2018, https://doi.org/10.5194/hess-22-5629-2018, 2018
Short summary
Short summary
One common approach to cope with floods is the implementation of structural flood protection measures, such as levees. Numerous scholars have problematized this approach and shown that increasing levels of flood protection can generate a false sense of security and attract more people to the risky areas. We briefly review the literature on this topic and then propose a research agenda to explore the unintended consequences of structural flood protection.
Francesca Carisi, Kai Schröter, Alessio Domeneghetti, Heidi Kreibich, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 18, 2057–2079, https://doi.org/10.5194/nhess-18-2057-2018, https://doi.org/10.5194/nhess-18-2057-2018, 2018
Short summary
Short summary
By analyzing a comprehensive loss dataset of affected private households after a recent river flood event in northern Italy, we tackle the problem of flood damage estimation in Emilia-Romagna (Italy). We develop empirical uni- and multivariable loss models for the residential sector. Outcomes highlight that the latter seem to outperform the former and, in addition, results show a higher accuracy of univariable models based on local data compared to literature ones derived for different contexts.
Iris Manola, Bart van den Hurk, Hans De Moel, and Jeroen C. J. H. Aerts
Hydrol. Earth Syst. Sci., 22, 3777–3788, https://doi.org/10.5194/hess-22-3777-2018, https://doi.org/10.5194/hess-22-3777-2018, 2018
Short summary
Short summary
In a warmer climate, it is expected that precipitation intensities will increase and form a considerable risk of high-impact precipitation extremes. We investigate how observed extreme precipitation events would look like if they took place in a future warmer climate. This study applies three methods to transform a historic extreme precipitation event in the Netherlands to a similar event in a future warmer climate, thus compiling a
future weatherscenario.
Marlies Holkje Barendrecht, Alberto Viglione, Heidi Kreibich, Sergiy Vorogushyn, Bruno Merz, and Günter Blöschl
Proc. IAHS, 379, 193–198, https://doi.org/10.5194/piahs-379-193-2018, https://doi.org/10.5194/piahs-379-193-2018, 2018
Short summary
Short summary
The aim of this paper is to assess whether a Socio-Hydrological model can be calibrated to data artificially generated from it. This is not trivial because the model is highly nonlinear and it is not clear what amount of data would be needed for calibration. We demonstrate that, using Bayesian inference, the parameters of the model can be estimated quite accurately from relatively few data, which could be available in real case studies.
Rui Figueiredo, Kai Schröter, Alexander Weiss-Motz, Mario L. V. Martina, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 18, 1297–1314, https://doi.org/10.5194/nhess-18-1297-2018, https://doi.org/10.5194/nhess-18-1297-2018, 2018
Short summary
Short summary
Flood loss modelling is subject to large uncertainty that is often neglected. Most models are deterministic, and large disparities exist among them. Adopting a single model may lead to inaccurate loss estimates and sub-optimal decision-making. This paper proposes the use of multi-model ensembles to address such issues. We demonstrate that this can be a simple and pragmatic approach to obtain more accurate loss estimates and reliable probability distributions of model uncertainty.
Kai Schröter, Daniela Molinari, Michael Kunz, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 18, 963–968, https://doi.org/10.5194/nhess-18-963-2018, https://doi.org/10.5194/nhess-18-963-2018, 2018
Konstantinos Bischiniotis, Bart van den Hurk, Brenden Jongman, Erin Coughlan de Perez, Ted Veldkamp, Hans de Moel, and Jeroen Aerts
Nat. Hazards Earth Syst. Sci., 18, 271–285, https://doi.org/10.5194/nhess-18-271-2018, https://doi.org/10.5194/nhess-18-271-2018, 2018
Short summary
Short summary
Preparedness activities and flood forecasting have received increasing attention and have led towards new science-based early warning systems. Understanding the flood triggering mechanisms will result in increasing warning lead times, providing sufficient time for early action. Findings of this study indicate that the consideration of short- and long-term antecedent conditions can be used by humanitarian organizations and decision makers for improved flood risk management.
Heidi Kreibich, Meike Müller, Kai Schröter, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 17, 2075–2092, https://doi.org/10.5194/nhess-17-2075-2017, https://doi.org/10.5194/nhess-17-2075-2017, 2017
Short summary
Short summary
Early warning is essential for protecting people and mitigating damage in case of flood events. To gain more knowledge, surveys were taken after the 2002 and the 2013 floods in Germany. Results show that early warning and preparedness improved substantially. However, there is still room for further improvement, which needs to be triggered mainly by effective risk and emergency communication.
Matthieu Spekkers, Viktor Rözer, Annegret Thieken, Marie-Claire ten Veldhuis, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 17, 1337–1355, https://doi.org/10.5194/nhess-17-1337-2017, https://doi.org/10.5194/nhess-17-1337-2017, 2017
Marleen C. de Ruiter, Philip J. Ward, James E. Daniell, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 17, 1231–1251, https://doi.org/10.5194/nhess-17-1231-2017, https://doi.org/10.5194/nhess-17-1231-2017, 2017
Short summary
Short summary
This study provides cross-discipline lessons for earthquake and flood vulnerability assessment methods by comparing indicators used in both fields. It appears that there is potential for improvement of these methods that can be obtained for both earthquake and flood vulnerability assessment indicators. This increased understanding is beneficial for both scientists as well as practitioners working with earthquake and/or flood vulnerability assessment methods.
Jens de Bruijn, Hans de Moel, Brenden Jongman, Jurjen Wagemaker, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-203, https://doi.org/10.5194/nhess-2017-203, 2017
Revised manuscript not accepted
Short summary
Short summary
In this work we present TAGSS, an algorithm that extracts and geolocates tweets using locations mentioned in the text of a tweet. We have applied TAGGS to flood events. However, TAGGS has enormous potential for application in the broad field of geosciences and natural hazards of any kind in particular, where availability of timely and accurate information about the impacts of an ongoing event can assist relief organizations in enhancing their disaster response activities.
Jaroslav Mysiak, Swenja Surminski, Annegret Thieken, Reinhard Mechler, and Jeroen Aerts
Nat. Hazards Earth Syst. Sci., 16, 2189–2193, https://doi.org/10.5194/nhess-16-2189-2016, https://doi.org/10.5194/nhess-16-2189-2016, 2016
Short summary
Short summary
In March 2015, a new international blueprint for disaster risk reduction (DRR) has been adopted in Sendai, Japan, at the end of the Third UN World Conference on Disaster Risk Reduction (WCDRR, March 14–18, 2015). We review and discuss the agreed commitments and targets, as well as the negotiation leading the Sendai Framework for DRR (SFDRR), and discuss briefly its implication for the later UN-led negotiations on sustainable development goals and climate change.
Elco E. Koks, Lorenzo Carrera, Olaf Jonkeren, Jeroen C. J. H. Aerts, Trond G. Husby, Mark Thissen, Gabriele Standardi, and Jaroslav Mysiak
Nat. Hazards Earth Syst. Sci., 16, 1911–1924, https://doi.org/10.5194/nhess-16-1911-2016, https://doi.org/10.5194/nhess-16-1911-2016, 2016
Short summary
Short summary
In this study we analyze the economic consequences for two flood scenarios in the Po River basin in Italy, using three regional disaster impact models: two hybrid IO models and a regionally CGE model. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of 7 between the three models, depending on the type of recovery path. Total economic impact is negative in all models though.
Annegret H. Thieken, Tina Bessel, Sarah Kienzler, Heidi Kreibich, Meike Müller, Sebastian Pisi, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 16, 1519–1540, https://doi.org/10.5194/nhess-16-1519-2016, https://doi.org/10.5194/nhess-16-1519-2016, 2016
Short summary
Short summary
In June 2013, widespread flooding and consequent damage and losses occurred in central Europe, especially in Germany. The paper explores what data are available to investigate the adverse impacts of the event, what kind of information can be retrieved from these data, and how good data and information fulfil requirements that were recently proposed for disaster reporting on the European and international level, e.g. by the Sendai Framework for Disaster Risk Reduction 2015–2030.
Heidi Kreibich, Kai Schröter, and Bruno Merz
Proc. IAHS, 373, 179–182, https://doi.org/10.5194/piahs-373-179-2016, https://doi.org/10.5194/piahs-373-179-2016, 2016
Paolo Scussolini, Jeroen C. J. H. Aerts, Brenden Jongman, Laurens M. Bouwer, Hessel C. Winsemius, Hans de Moel, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 16, 1049–1061, https://doi.org/10.5194/nhess-16-1049-2016, https://doi.org/10.5194/nhess-16-1049-2016, 2016
Short summary
Short summary
Assessments of flood risk, on global to local scales, are becoming more urgent with ongoing climate change and with rapid socioeconomic developments. Such assessments need information about existing flood protection, still largely unavailable. Here we present the first open-source database of FLood PROtection Standards, FLOPROS, which enables more accurate modelling of flood risk. We also invite specialists to contribute new information to this evolving database.
Philip Bubeck, Jeroen C. J. H. Aerts, Hans de Moel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 16, 1005–1010, https://doi.org/10.5194/nhess-16-1005-2016, https://doi.org/10.5194/nhess-16-1005-2016, 2016
Yus Budiyono, Jeroen C. J. H. Aerts, Daniel Tollenaar, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 16, 757–774, https://doi.org/10.5194/nhess-16-757-2016, https://doi.org/10.5194/nhess-16-757-2016, 2016
Short summary
Short summary
The paper describes a model framework for assessing flood risk in Jakarta under current and future scenarios (2030 and 2050) including climate change, sea level rise, land use change, and land subsidence. The results shows individual impact of future changes and serve as a basis to evaluate adaptation strategies in cities. They also show while the impacts of climate change alone on flood risk in Jakarta are highly uncertain, the combined impacts of all drivers reveal a strong increase in risk.
J. Fohringer, D. Dransch, H. Kreibich, and K. Schröter
Nat. Hazards Earth Syst. Sci., 15, 2725–2738, https://doi.org/10.5194/nhess-15-2725-2015, https://doi.org/10.5194/nhess-15-2725-2015, 2015
Short summary
Short summary
During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The case study of the June 2013 flood in the city of Dresden shows that social media may help to bridge the information gap when traditional data sources are lacking or are sparse.
T. I. E. Veldkamp, S. Eisner, Y. Wada, J. C. J. H. Aerts, and P. J. Ward
Hydrol. Earth Syst. Sci., 19, 4081–4098, https://doi.org/10.5194/hess-19-4081-2015, https://doi.org/10.5194/hess-19-4081-2015, 2015
Short summary
Short summary
Freshwater shortage is one of the most important risks, partially driven by climate variability. Here we present a first global scale sensitivity assessment of water scarcity events to El Niño-Southern Oscillation, the most dominant climate variability signal. Given the found correlations, covering a large share of the global land area, and seen the developments of water scarcity impacts under changing socioeconomic conditions, we show that there is large potential for ENSO-based risk reduction.
S. Kienzler, I. Pech, H. Kreibich, M. Müller, and A. H. Thieken
Nat. Hazards Earth Syst. Sci., 15, 505–526, https://doi.org/10.5194/nhess-15-505-2015, https://doi.org/10.5194/nhess-15-505-2015, 2015
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
P. Hudson, W. J. W. Botzen, H. Kreibich, P. Bubeck, and J. C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 14, 1731–1747, https://doi.org/10.5194/nhess-14-1731-2014, https://doi.org/10.5194/nhess-14-1731-2014, 2014
R. Lasage, T. I. E. Veldkamp, H. de Moel, T. C. Van, H. L. Phi, P. Vellinga, and J. C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 14, 1441–1457, https://doi.org/10.5194/nhess-14-1441-2014, https://doi.org/10.5194/nhess-14-1441-2014, 2014
I. Seifert, W. J. W. Botzen, H. Kreibich, and J. C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 13, 1691–1705, https://doi.org/10.5194/nhess-13-1691-2013, https://doi.org/10.5194/nhess-13-1691-2013, 2013
V. Meyer, N. Becker, V. Markantonis, R. Schwarze, J. C. J. M. van den Bergh, L. M. Bouwer, P. Bubeck, P. Ciavola, E. Genovese, C. Green, S. Hallegatte, H. Kreibich, Q. Lequeux, I. Logar, E. Papyrakis, C. Pfurtscheller, J. Poussin, V. Przyluski, A. H. Thieken, and C. Viavattene
Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, https://doi.org/10.5194/nhess-13-1351-2013, 2013
B. Merz, H. Kreibich, and U. Lall
Nat. Hazards Earth Syst. Sci., 13, 53–64, https://doi.org/10.5194/nhess-13-53-2013, https://doi.org/10.5194/nhess-13-53-2013, 2013
B. Jongman, H. Kreibich, H. Apel, J. I. Barredo, P. D. Bates, L. Feyen, A. Gericke, J. Neal, J. C. J. H. Aerts, and P. J. Ward
Nat. Hazards Earth Syst. Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, https://doi.org/10.5194/nhess-12-3733-2012, 2012
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Mapping vulnerability to climate change for spatial planning in the region of Stuttgart
Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling
Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India
Enhancement of state response capability and famine mitigation: a comparative analysis of two drought events in northern China during the Ming dynasty
Flood exposure of environmental assets
A new method for calculating highway blocking due to high-impact weather conditions
Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal
Review article: Insuring the green economy against natural hazards – charting research frontiers in vulnerability assessment
Ready, Set & Go! An anticipatory action system against droughts
Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment
Tracing online flood conversations across borders: A watershed level analysis of geo-social media topics during the 2021 European flood
Flood risk assessment through large-scale modeling under uncertainty
Migration as a hidden risk factor in seismic fatality: spatial modeling of the Chi-Chi earthquake and suburban syndrome
Simulating the effects of sea level rise and soil salinization on adaptation and migration decisions in Mozambique
Current status of water-related planning for climate change adaptation in the Spree river basin, Germany
Using a convection-permitting climate model to assess wine grape productivity: two case studies in Italy
Volcanic risk ranking and regional mapping of the Central Volcanic Zone of the Andes
Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia
Critical infrastructure resilience: a guide for building indicator systems based on a multi-criteria framework with a focus on implementable actions
Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
Dynamic response of pile–slab retaining wall structure under rockfall impact
Disaster Management Following the Great Kahramanmaraş Earthquakes in 2023, Türkiye
Applicability and effectiveness of structural measures for subsidence (risk) reduction in urban areas
Brief Communication: Bridging the data gap – enhancing the representation of global coastal flood protection
Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
An evaluation on the alignment of drought policy and planning guidelines with the contemporary disaster risk reduction agenda
An impact-chain-based exploration of multi-hazard vulnerability dynamics: the multi-hazard of floods and the COVID-19 pandemic in Romania
Measuring extremes-driven direct biophysical impacts in agricultural drought damages
Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany
Modelling Flood Losses to Microbusinesses in Ho Chi Minh City, Vietnam
Earthquake insurance in Iran: solvency of local insurers in light of current market practices
Micro-business participation in collective flood adaptation: lessons from scenario-based analysis in Ho Chi Minh City, Vietnam
Brief communication: Storm Daniel flood impact in Greece in 2023: mapping crop and livestock exposure from synthetic-aperture radar (SAR)
Unravelling the capacity-action gap in flood risk adaptation
Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila
Brief communication: Lessons learned and experiences gained from building up a global survey on societal resilience to changing droughts
How does perceived heat stress differ between urban forms and human vulnerability profiles? – case study Berlin
Regional seismic risk assessment based on ground conditions in Uzbekistan
Unveiling transboundary challenges in river flood risk management: learning from the Ciliwung River basin
Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay
Sensitive infrastructures and people with disabilities – Key issues when strengthening resilience in reconstruction
Multisectoral analysis of drought impacts and management responses to the 2008–2015 record drought in the Colorado Basin, Texas
Simulating multi-hazard event sets for life cycle consequence analysis
Analysis of the effects of urban micro-scale vulnerabilities on tsunami evacuation using an agent-based model – case study in the city of Iquique, Chile
Factors of influence on flood risk perceptions related to Hurricane Dorian: an assessment of heuristics, time dynamics, and accuracy of risk perceptions
From insufficient rainfall to livelihoods: understanding the cascade of drought impacts and policy implications
Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru
A new regionally consistent exposure database for Central Asia: population and residential buildings
Study on seismic risk assessment model of water supply systems in mainland China
Mapping current and future flood exposure using a 5 m flood model and climate change projections
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
Nat. Hazards Earth Syst. Sci., 25, 1573–1596, https://doi.org/10.5194/nhess-25-1573-2025, https://doi.org/10.5194/nhess-25-1573-2025, 2025
Short summary
Short summary
Adapting to climate extremes is a challenge for spatial planning. Risk maps that include not just a consideration of hazards but also social vulnerability can help. We develop social vulnerability maps for the Stuttgart region, Germany. We show the maps, describe how and why we developed them, and provide an analysis of practitioners' needs and their feedback. Insights presented in this paper can help to improve map usability and to better link research and planning practice.
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 1501–1520, https://doi.org/10.5194/nhess-25-1501-2025, https://doi.org/10.5194/nhess-25-1501-2025, 2025
Short summary
Short summary
This work uses agent-based modelling to evaluate the impact of flood warning and evacuation systems on human losses during the 2021 Ahr Valley flood in Germany. While the first flood warning with evacuation instructions is identified as timely, its lack of detail and effectiveness resulted in low public risk awareness. Better dissemination of warnings and improved risk perception and preparedness among the population could reduce casualties by up to 80 %.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025, https://doi.org/10.5194/nhess-25-1013-2025, 2025
Short summary
Short summary
Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated farmers' individual choices – like changing crops or digging wells – and their effects on profits, yields, and water resources. Results show these adaptations, while improving incomes, ultimately increase drought vulnerability and damage. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrological models in shaping policies to lessen drought impacts.
Fangyu Tian, Yun Su, Xudong Chen, and Le Tao
Nat. Hazards Earth Syst. Sci., 25, 591–607, https://doi.org/10.5194/nhess-25-591-2025, https://doi.org/10.5194/nhess-25-591-2025, 2025
Short summary
Short summary
This study developed a model of extreme drought-induced famine processes and response mechanisms in ancient China. The spatial distribution of drought and famine during the Chenghua drought and the Wanli drought was constructed. By categorizing drought-affected counties into three types, a comparative analysis of the differences in famine severity and response effectiveness between the Chenghua and Wanli droughts was conducted.
Gabriele Bertoli, Chiara Arrighi, and Enrica Caporali
Nat. Hazards Earth Syst. Sci., 25, 565–580, https://doi.org/10.5194/nhess-25-565-2025, https://doi.org/10.5194/nhess-25-565-2025, 2025
Short summary
Short summary
Environmental assets are crucial to sustaining and fulfilling life on Earth via ecosystem services (ESs). Studying their flood risk is thus seminal, in addition to being required by several norms. However, this field is not yet adequately developed. We studied the exposure component of flood risk and developed an evaluating methodology based on the ESs provided by environmental assets to discern assets and areas that are more important than others with metrics suitable to large-scale studies.
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu
Nat. Hazards Earth Syst. Sci., 25, 493–513, https://doi.org/10.5194/nhess-25-493-2025, https://doi.org/10.5194/nhess-25-493-2025, 2025
Short summary
Short summary
Highway-blocking events are characterized by diurnal variation. A classification method of severity levels of highway blocking is catagorized into five levels. The severity levels of highway blocking due to high-impact weather are evaluated. A method for calculating the degree of highway load in China is proposed. A quantitative assessment of the losses of highway blocking due to dense fog is conducted. The highway losses caused by dense fog are concentrated in North, East, and Southwest China.
Alexandre Dunant, Tom R. Robinson, Alexander L. Densmore, Nick J. Rosser, Ragindra Man Rajbhandari, Mark Kincey, Sihan Li, Prem Raj Awasthi, Max Van Wyk de Vries, Ramesh Guragain, Erin Harvey, and Simon Dadson
Nat. Hazards Earth Syst. Sci., 25, 267–285, https://doi.org/10.5194/nhess-25-267-2025, https://doi.org/10.5194/nhess-25-267-2025, 2025
Short summary
Short summary
Natural hazards like earthquakes often trigger other disasters, such as landslides, creating complex chains of impacts. We developed a risk model using a mathematical approach called hypergraphs to efficiently measure the impact of interconnected hazards. We showed that it can predict broad patterns of damage to buildings and roads from the 2015 Nepal earthquake. The model's efficiency allows it to generate multiple disaster scenarios, even at a national scale, to support preparedness plans.
Harikesan Baskaran, Ioanna Ioannou, Tiziana Rossetto, Jonas Cels, Mathis Joffrain, Nicolas Mortegoutte, Aurelie Fallon Saint-Lo, and Catalina Spataru
Nat. Hazards Earth Syst. Sci., 25, 49–76, https://doi.org/10.5194/nhess-25-49-2025, https://doi.org/10.5194/nhess-25-49-2025, 2025
Short summary
Short summary
There is a global need for insuring green economy assets against natural hazard events. But their complexity and low exposure history mean the data required for vulnerability evaluation by the insurance industry are scarce. A systematic literature review is conducted in this study to determine the suitability of current published literature for this purpose. Knowledge gaps are charted, and a representative asset–hazard taxonomy is proposed to guide future quantitative research.
Gabriela Guimarães Nobre, Jamie Towner, Bernardino Nhantumbo, Célio João da Conceição Marcos Matuele, Isaias Raiva, Massimiliano Pasqui, Sara Quaresima, and Rogério Manuel Lemos Pereira Bonifácio
Nat. Hazards Earth Syst. Sci., 24, 4661–4682, https://doi.org/10.5194/nhess-24-4661-2024, https://doi.org/10.5194/nhess-24-4661-2024, 2024
Short summary
Short summary
The
Ready, Set & Go!system, developed by the World Food Programme and partners, employs seasonal forecasts to tackle droughts in Mozambique. With the Maputo Declaration, efforts to expand early warning systems are aligning with global initiatives for universal protection by 2027. Through advanced forecasting and anticipatory action, it could cover 76 % of districts against severe droughts, reaching 87 % national coverage for the first months of the rainy season.
Elisabeth Schoepfer, Jörn Lauterjung, Torsten Riedlinger, Harald Spahn, Juan Camilo Gómez Zapata, Christian D. León, Hugo Rosero-Velásquez, Sven Harig, Michael Langbein, Nils Brinckmann, Günter Strunz, Christian Geiß, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 24, 4631–4660, https://doi.org/10.5194/nhess-24-4631-2024, https://doi.org/10.5194/nhess-24-4631-2024, 2024
Short summary
Short summary
In this paper, we provide a brief introduction of the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-risk assessment. We highlight four global strategies that address disaster risk reduction and call for action. Subsequently, we present a conceptual approach for multi-risk assessment which was designed to serve potential users like disaster risk managers, urban planners or operators of critical infrastructure to increase their capabilities.
Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, and Bernd Resch
EGUsphere, https://doi.org/10.5194/egusphere-2024-3255, https://doi.org/10.5194/egusphere-2024-3255, 2024
Short summary
Short summary
Our research explores how social media can help understand public responses to floods, focusing on the 2021 Western European flood. By analysing flood-related topics on social media, we found that conversations varied depending on the location and impact of the flood, with in-disaster concerns emerging in severely affected upstream areas and post-disaster discussions in less affected regions. This shows the potential of social media for better disaster coordination along border crossing rivers.
Luciano Pavesi, Elena Volpi, and Aldo Fiori
Nat. Hazards Earth Syst. Sci., 24, 4507–4522, https://doi.org/10.5194/nhess-24-4507-2024, https://doi.org/10.5194/nhess-24-4507-2024, 2024
Short summary
Short summary
Several sources of uncertainty affect flood risk estimation for reliable assessment for investment, insurance and risk management. Here, we consider the uncertainty of large-scale flood hazard modeling, providing a range of risk values that show significant variability depending on geomorphic factors and land use types. This allows for identifying the critical points where single-value estimates may underestimate the risk and the areas of vulnerability for prioritizing risk reduction efforts.
Tzu-Hsin Karen Chen, Kuan-Hui Elaine Lin, Thung-Hong Lin, Gee-Yu Liu, Chin-Hsun Yeh, and Diana Maria Ceballos
Nat. Hazards Earth Syst. Sci., 24, 4457–4471, https://doi.org/10.5194/nhess-24-4457-2024, https://doi.org/10.5194/nhess-24-4457-2024, 2024
Short summary
Short summary
This study shows migration patterns to be a critical factor in seismic fatalities. Analyzing the Chi-Chi earthquake in Taiwan, we find that lower income and a higher indigenous population at migrants' origins are correlated with higher fatalities at their destinations. This underscores the need for affordable and safe housing on the outskirts of megacities, where migrants from lower-income and historically marginalized groups are more likely to reside due to precarious employment conditions.
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 24, 4409–4429, https://doi.org/10.5194/nhess-24-4409-2024, https://doi.org/10.5194/nhess-24-4409-2024, 2024
Short summary
Short summary
As sea levels rise, coastal areas will experience more frequent flooding, and salt water will start seeping into the soil, which is a serious issue for farmers who rely on good soil quality for their crops. Here, we studied coastal Mozambique to understand the risks from sea level rise and flooding by looking at how salt intrusion affects farming and how floods damage buildings. We find that 15 %–21 % of coastal households will adapt and 13 %–20 % will migrate to inland areas in the future.
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci., 24, 4369–4383, https://doi.org/10.5194/nhess-24-4369-2024, https://doi.org/10.5194/nhess-24-4369-2024, 2024
Short summary
Short summary
This study provides an overview of the current status of climate change adaptation in plans for water management, spatial planning and landscape planning in the Spree river basin. Only 39 % of 28 plans analysed specify objectives and measures for adaptation to climate change. To fill this gap, more frequent updates of plans, a stronger focus on multifunctional measures, and the adaptation of best-practice examples for systematic integration of climate change impacts and adaptation are needed.
Laura T. Massano, Giorgia Fosser, Marco Gaetani, and Cécile Caillaud
Nat. Hazards Earth Syst. Sci., 24, 4293–4315, https://doi.org/10.5194/nhess-24-4293-2024, https://doi.org/10.5194/nhess-24-4293-2024, 2024
Short summary
Short summary
Traditional wine-growing regions are threatened by expected climate change. Climate models and observations are used to calculate bioclimatic indices based on both temperature and precipitation. These indices are correlated with grape productivity in two wine-growing regions in Italy. This analysis paves the way for using climate models to study how climate change will affect wine production in the future.
María-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Freitas Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci., 24, 4267–4291, https://doi.org/10.5194/nhess-24-4267-2024, https://doi.org/10.5194/nhess-24-4267-2024, 2024
Short summary
Short summary
The Central Volcanic Zone of the Andes (CVZA) spans four countries with 59 volcanoes. We identify those with the most intense and frequent eruptions and the highest potential impact that require risk mitigation actions. Using multiple risk factors, we encourage the use of regional volcanic risk assessments to analyse the level of preparedness especially of transboundary volcanoes. We hope that our work will motivate further collaborative studies and promote cooperation between CVZA countries.
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024, https://doi.org/10.5194/nhess-24-3851-2024, 2024
Short summary
Short summary
Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
Nat. Hazards Earth Syst. Sci., 24, 3723–3753, https://doi.org/10.5194/nhess-24-3723-2024, https://doi.org/10.5194/nhess-24-3723-2024, 2024
Short summary
Short summary
To integrate resilience assessment into practical management, this study designs a step-by-step guide that enables managers of critical infrastructure (CI) to create specific indicator systems tailored to real cases. This guide considers the consequences of hazards to CI and the cost–benefit analysis and side effects of implementable actions. The assessment results assist managers, as they are based on a multi-criterion framework that addresses several factors valued in practical management.
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
Nat. Hazards Earth Syst. Sci., 24, 3579–3595, https://doi.org/10.5194/nhess-24-3579-2024, https://doi.org/10.5194/nhess-24-3579-2024, 2024
Short summary
Short summary
Natural disturbances are projected to intensify in the future, threatening our forests and their functions such as wood production, protection against natural hazards, and carbon sequestration. By assessing risks to forests from wind and fire damage, alongside the vulnerability of carbon, it is possible to prioritize forest stands at high risk. In this study, we propose a novel methodological approach to support climate-smart forest management and inform better decision-making.
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024, https://doi.org/10.5194/nhess-24-3497-2024, 2024
Short summary
Short summary
The pile–slab retaining wall, an innovative rockfall shield, is widely used in China's western mountains. However, its dynamic impact response and resistance remain unclear due to structural complexity. A comprehensive dynamic analysis of the structure, under various impacts, was done using the finite-element method. The maximum impact energy that the structure can withstand is 905 kJ, and various indexes were obtained.
Bektaş Sari
EGUsphere, https://doi.org/10.5194/egusphere-2024-2538, https://doi.org/10.5194/egusphere-2024-2538, 2024
Short summary
Short summary
After the earthquake, the Turkish Government mobilized all available resources, ensured regular information updates, and deployed a significant number of rescue personnel to the affected areas. However, the scale of this devastating disaster, resulting in the loss of over 50,000 lives, underscores the critical importance of building earthquake-resistant structures as the most effective means to mitigate such calamities.
Nicoletta Nappo and Mandy Korff
EGUsphere, https://doi.org/10.5194/egusphere-2024-2537, https://doi.org/10.5194/egusphere-2024-2537, 2024
Short summary
Short summary
Cities in coastal and delta areas need effective engineering techniques to contrast subsidence and its damages. This paper presents a framework for choosing these techniques using a decision tree and four performance parameters. This procedure was tested on various cases representative of different scenarios. This demonstrated the potential of this method for initial screenings of techniques, to which site-specific assessment should always follow.
Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-137, https://doi.org/10.5194/nhess-2024-137, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Understanding coastal flood protection is vital for assessing risks from natural disasters and climate change. However, current global data on coastal flood protection is limited and based on simplified assumptions, leading to potential uncertainties in risk estimates. As a step in this direction, we propose a comprehensive dataset, COASTPROS-EU, which compiles coastal flood protection standards in Europe.
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024, https://doi.org/10.5194/nhess-24-3299-2024, 2024
Short summary
Short summary
We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The impacts of the disaster were largely associated with rapid urban expansion over the last 3 decades, with a recent occupation of risky areas. Moreover, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
Ilyas Masih
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-163, https://doi.org/10.5194/nhess-2024-163, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
This study evaluates twelve drought policy and planning guidelines for their alignment with the four priority areas of the SENDAI Framework. The guidelines do not align very well with the contemporary disaster risk reduction agenda. The study highlights strengths, weaknesses, opportunities and threats, and provides useful insights to develop next generation of drought guidelines.
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024, https://doi.org/10.5194/nhess-24-2895-2024, 2024
Short summary
Short summary
This study delves into the dynamics of vulnerability within a multi-hazard context, proposing an enhanced impact-chain-based framework that analyses the augmentation of vulnerability. The case study refers to the flood events and the COVID-19 pandemic that affected Romania (2020–2021). The impact chain shows that (1) the unforeseen implications of impacts, (2) the wrongful action of adaptation options, and (3) inaction can form the basis for increased vulnerability.
Mansi Nagpal, Jasmin Heilemann, Luis Samaniego, Bernd Klauer, Erik Gawel, and Christian Klassert
EGUsphere, https://doi.org/10.5194/egusphere-2024-2585, https://doi.org/10.5194/egusphere-2024-2585, 2024
Short summary
Short summary
This study measures the direct effects of droughts in association with other extreme weather events on agriculture in Germany at district level. Using a statistical yield model, we quantify the direct impact of extremes on crop yields and farm revenues. Extreme events during drought cause an average annual damage of €781 million, accounting for 45 % of reported revenue losses. The insights can help develop better strategies for managing and mitigating the effects of future climate extremes.
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, https://doi.org/10.5194/nhess-24-2837-2024, 2024
Short summary
Short summary
Despite the visible flood damage, mental health is a growing concern. Yet, there is limited data in Germany on mental health impacts after floods. A survey in a heavily affected region revealed that 28 % of respondents showed signs of post-traumatic stress disorder 1 year later. Risk factors include gender, serious injury or illness due to flooding, and feeling left alone to cope with impacts. The study highlights the need for tailored mental health support for flood-affected populations.
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2024-2340, https://doi.org/10.5194/egusphere-2024-2340, 2024
Short summary
Short summary
Many households in Vietnam depend on revenues from microbusinesses (shop-houses). However, losses caused by regular flooding to the microbusinesses are not modelled. Business turnover, building age and water depth are found to be the main drivers of flood losses to microbusinesses. We built and validated probabilistic models (Non-parametric Bayesian Networks) that estimate flood losses to microbusinesses. The results help in flood risk management and adaption decision making for microbusinesses.
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
Short summary
Short summary
Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
Short summary
Short summary
Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho Chi Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
Short summary
Short summary
About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~ 30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimate that more than 14 000 ornithoids and 21 500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-121, https://doi.org/10.5194/nhess-2024-121, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Households play a crucial role in climate adaptation efforts. Yet, households require capacities to implement measures. We explore which capacities enable German households to adapt to flooding. Our results indicate that flood-related capacities such as risk perception, responsibility appraisal and motivation are pivotal, whereas financial assets are secondary. Enhancing these specific capacities, e.g. through collaborations between households and municipalities, could promote local adaptation.
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 2024
Short summary
Short summary
In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
Short summary
Short summary
With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
Nimra Iqbal, Marvin Ravan, Zina Mitraka, Joern Birkmann, Sue Grimmond, Denise Hertwig, Nektarios Chrysoulakis, Giorgos Somarakis, and Angela Wendnagel-Beck
EGUsphere, https://doi.org/10.5194/egusphere-2024-1907, https://doi.org/10.5194/egusphere-2024-1907, 2024
Short summary
Short summary
This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age, income) and adaptive capacities (e.g. green, shaded spaces) are coupled with urban structures. The results show that perceived heat stress decreases with distance from urban center, however, human vulnerability and adaptive capacities depend stronger on inner-variations and differences between urban structures. Planning policies and adaptation strategies should account for these differences.
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
Short summary
Short summary
For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
Short summary
Short summary
Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
Short summary
Short summary
This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
EGUsphere, https://doi.org/10.5194/egusphere-2024-1607, https://doi.org/10.5194/egusphere-2024-1607, 2024
Short summary
Short summary
In post-disaster reconstruction, emphasis should be placed on critical and sensitive infrastructures. In Germany as in other countries, sensitive infrastructures have not yet been focused on – therefore, we developed a method for determining the risk sensitive infrastructures are facing in the context of riverine and pluvial flooding. The easy-to-use assessment framework can be applied to various sensitive infrastructures, e.g. to qualify and accelerate decisions in the reconstruction process.
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
Short summary
Short summary
Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
Short summary
Short summary
The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500, https://doi.org/10.5194/nhess-24-1485-2024, https://doi.org/10.5194/nhess-24-1485-2024, 2024
Short summary
Short summary
This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation modeling and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios by emulating the dynamics and behavior of the population and their decision-making regarding the starting time of the evacuation.
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318, https://doi.org/10.5194/nhess-24-1303-2024, https://doi.org/10.5194/nhess-24-1303-2024, 2024
Short summary
Short summary
An understanding of flood risk perceptions may aid in improving flood risk communication. We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall to investigate changes in risk perception. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
Louise Cavalcante, David W. Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2024-650, https://doi.org/10.5194/egusphere-2024-650, 2024
Short summary
Short summary
The research aimed to understand the role of society in mitigating drought impacts through policy responses in the context of northeast Brazil. Results revealed that socio-environmental-economic impacts of drought are less frequently reported, while hydrological impacts of drought were the most reported. It emphasized that public policies addressing the impacts of drought need to focus not only on increasing water availability, but also on strengthening the local economy.
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064, https://doi.org/10.5194/nhess-24-1051-2024, https://doi.org/10.5194/nhess-24-1051-2024, 2024
Short summary
Short summary
We establish a model of future geospatial population distributions to quantify the number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru, for the year 2035. Areas of high earthquake intensity will experience a population growth of almost 30 %. The population in the tsunami inundation area is estimated to grow by more than 60 %. Uncovering those relations can help urban planners and policymakers to develop effective risk mitigation strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
Short summary
Short summary
Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci., 24, 803–822, https://doi.org/10.5194/nhess-24-803-2024, https://doi.org/10.5194/nhess-24-803-2024, 2024
Short summary
Short summary
A basic database for seismic risk assessment of 720 urban water supply systems in mainland China is established. The parameters of the seismic risk curves of 720 cities are calculated. The seismic fragility curves of various facilities in the water supply system are given based on the logarithmic normal distribution model. The expected seismic loss and the expected loss rate index of 720 urban water supply systems in mainland China in the medium and long term are given.
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci., 24, 699–714, https://doi.org/10.5194/nhess-24-699-2024, https://doi.org/10.5194/nhess-24-699-2024, 2024
Short summary
Short summary
The impacts of climate change on local floods require precise maps that clearly demarcate changes to flood exposure; however, most maps lack important considerations that reduce their utility in policy and decision-making. This article presents a new approach to identifying current and projected flood exposure using a 5 m model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
Cited articles
Allaoui, M., Kherfi, M. L., and Cheriet, A.: Considerably improving clustering algorithms using UMAP dimensionality reduction technique: A comparative study, International conference on image and signal processing, 317–325 pp., https://doi.org/10.48550/arXiv.1810.04805, 2020. a
Aubert, A. H., Tavenard, R., Emonet, R., de Lavenne, A., Malinowski, S., Guyet, T., Quiniou, R., Odobez, J.-M., Merot, P., and Gascuel-Odoux, C.: Clustering flood events from water quality time series using Latent Dirichlet Allocation model, Water Resour. Res., 49, 8187–8199, https://doi.org/10.1002/2013wr014086, 2013. a
Baldassarre, G. D., Viglione, A., Carr, G., Kuil, L., Yan, K., Brandimarte, L., and Blöschl, G.: Debates-Perspectives on socio-hydrology: Capturing feedbacks between physical and social processes, Water Resour. Res., 51, 4770–4781, https://doi.org/10.1002/2014wr016416, 2015. a
Barker, J. and Macleod, C.: Development of a national-scale real-time Twitter data mining pipeline for social geodata on the potential impacts of flooding on communities, Environ. Modell. Softw., 115, 213–227, https://doi.org/10.1016/j.envsoft.2018.11.013, 2019. a, b
Brakenridge, G.: Global Active Archive of Large Flood Events. DFO – Flood Observatory, University of Colorado, USA, http://floodobservatory.colorado.edu/Archives/ (last access: 21 February 2025), 2025. a
Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Fischer, M., Heistermann, M., Köhn-Reich, L., López-Tarazón, J. A., Moran, T., Ozturk, U., Reinhardt-Imjela, C., and Wendi, D.: Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Sci. Total Environ., 630, 977–991, https://doi.org/10.1016/j.scitotenv.2018.02.241, 2018. a
Cho, S. E., Jung, K., and Park, H. W.: Social Media Use during Japan's 2011 Earthquake: How Twitter Transforms the Locus of Crisis Communication, Med. Int. Aust., 149, 28–40, https://doi.org/10.1177/1329878X1314900105, 2013. a, b, c
Churchill, R. and Singh, L.: The Evolution of Topic Modeling, ACM Comput. Surv., 54, 1–35, https://doi.org/10.1145/3507900, 2022. a
Cresci, S., Avvenuti, M., La Polla, M., Meletti, C., and Tesconi, M.: Nowcasting of Earthquake Consequences using Big Social Data, IEEE Internet Computing, 1–1 pp., https://doi.org/10.1109/MIC.2017.265102211, 2017. a
Darji, H., Mitrović, J., and Granitzer, M.: German BERT model for legal named entity recognition, https://doi.org/10.5220/0011749400003393, 2023. a
de Bruijn, J. A., de Moel, H., Jongman, B., de Ruiter, M. C., Wagemaker, J., and Aerts, J. C.: A global database of historic and realtime flood events based on social media, Sci. Data, 6, 311, https://doi.org/10.1038/s41597-019-0326-9, 2019 (data available at: https://github.com/SWN-group-at-TU-Berlin/SocialMediaNLP_FloodTopics, last access: 21 February 2025). a
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, 4171–4186, https://doi.org/10.18653/v1/N19-1423, 2019. a
Donratanapat, N., Samadi, S., Vidal, J., and Sadeghi Tabas, S.: A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities, Environ. Modell. Softw., 133, 104828, https://doi.org/10.1016/j.envsoft.2020.104828, 2020. a
Egger, R. and Yu, J.: A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts, Front. Soc., 7, 886498, https://doi.org/10.3389/fsoc.2022.886498, 2022. a
Fohringer, J., Dransch, D., Kreibich, H., and Schröter, K.: Social media as an information source for rapid flood inundation mapping, Nat. Hazards Earth Syst. Sci., 15, 2725–2738, https://doi.org/10.5194/nhess-15-2725-2015, 2015. a
Fraternali, P., Castelletti, A., Soncini-Sessa, R., Vaca Ruiz, C., and Rizzoli, A.: Putting humans in the loop: Social computing for Water Resources Management, Environ. Modell. Softw., 37, 68–77, https://doi.org/10.1016/j.envsoft.2012.03.002, 2012. a
Giordano, R., Pagano, A., Pluchinotta, I., del Amo, R. O., Hernandez, S. M., and Lafuente, E. S.: Modelling the complexity of the network of interactions in flood emergency management: The Lorca flash flood case, Environ. Modell. Softw., 95, 180–195, https://doi.org/10.1016/j.envsoft.2017.06.026, 2017. a
Gopal, L. S., Prabha, R., Thirugnanam, H., Ramesh, M. V., and Malamud, B. D.: Review Article: Leveraging Social Media for Managing Natural Hazard Disasters: A Critical Review of Data Collection Strategies and Actionable Insights, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1536, 2024. a, b
Grootendorst, M.: BERTopic: Neural topic modeling with a class-based TF-IDF procedure, 1–10, https://doi.org/10.48550/arXiv.2203.05794, 2022. a, b, c
Han, X. and Wang, J.: Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China, ISPRS Int. J. Geo-Info., 8, 1–16, https://doi.org/10.3390/ijgi8040185, 2019. a
Hauser, J., Meng, Z., Pascual, D., and Wattenhofer, R.: Bert is robust! a case against synonym-based adversarial examples in text classification, 1–12 pp., https://doi.org/10.48550/arXiv.2109.07403, 2021. a
Helmke, P., Mürlebach, M., Supper-Nilges, D., and Wiechmann, W.: Januar-Hochwasser 2018 in Deutschland – 4. Update, Bundesanstalt für Gewässerkunde, https://www.bafg.de/DE/5_Informiert/4_Infothek/Aktuelles/_doc/2018/20180105_5download.pdf?__blob=publicationFile&v=1 (last access: 21 February 2025), 2018. a, b
Hong, L., Lee, M., Mashhadi, A., and Frias-Martinez, V.: Towards Understanding Communication Behavior Changes During Floods Using Cell Phone Data, in: Social Informatics, edited by: Staab, S., Koltsova, O., and Ignatov, D. I., 97–107 pp., Springer International Publishing, https://doi.org/10.1007/978-3-030-01159-8_9, 2018. a
Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner McGowen, S. E., Davis, R., Vaid, S., McElderry, J. A., and Griffith, S. A.: Social media and disasters: a functional framework for social media use in disaster planning, response, and research, Disasters, 39, 1–22, https://doi.org/10.1111/disa.12092, 2015. a, b, c, d, e, f, g, h
Huang, Q. and Xiao, Y.: Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery, ISPRS Int. J. Geo-Info., 4, 1549–1568, https://doi.org/10.3390/ijgi4031549, 2015. a, b, c, d
Hübl, J. and Rimböck, A.: Extreme torrential flooding at Simbach on June 1st, 2016 findings of a detailed event analysis, Symposium Proceedings of the INTERPRAENENT 2018 in the Pacific Rim, https://doi.org/10.3850/978-981-11-2731-1_207-cd, 2018. a, b, c
Kent, J. D. and Capell Jr., H. T.: Spatial patterns and demographic indicators of effective social media content during theHorsethief Canyon fire of 2012, Cartogr. Geogr. Inf. Sci., 40, 78–89, https://doi.org/10.1080/15230406.2013.776727, 2013. a, b
Konya, A. and Nematzadeh, P.: Recent applications of AI to environmental disciplines: A review, Sci. Total Environ., 906, 167705, https://doi.org/10.1016/j.scitotenv.2023.167705, 2024. a
Laskar, M. T. R., Huang, J. X., and Hoque, E.: Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task, in: Proceedings of the Twelfth Language Resources and Evaluation Conference, edited by: Calzolari, N., Béchet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., and Piperidis, S., 5505–5514 pp., European Language Resources Association, Marseille, France, ISBN 979-10-95546-34-4, https://aclanthology.org/2020.lrec-1.676 (last access: 21 February 2025), 2020. a
Laudan, J., Rözer, V., Sieg, T., Vogel, K., and Thieken, A. H.: Damage assessment in Braunsbach 2016: data collection and analysis for an improved understanding of damaging processes during flash floods, Nat. Hazards Earth Syst. Sci., 17, 2163–2179, https://doi.org/10.5194/nhess-17-2163-2017, 2017. a
Lin, X., Spence, P. R., Sellnow, T. L., and Lachlan, K. A.: Crisis communication, learning and responding: Best practices in social media, Comput. Hum. Behav., 65, 601–605, https://doi.org/10.1016/j.chb.2016.05.080, 2016. a, b
Löns, H. C.: Hochwasser Januar, Februar 2021 in Hessen, Hessisches Landesamt für Naturschutz, Umwelt und Geologie, Hydrologie in Hessen, 22, 1–4 pp., https://www.hlnug.de/fileadmin/shop/publikationen/wasser/hydrologie/Schriften_Wasser_786_Hochwasserbericht_2021_barrierefrei.pdf (last access: 21 February 2025), 2021. a, b, c
LUBW, L.: Klassifizierung der Hochwasser-Situation am Pegel, Hochwasserzentralen.de/Info, https://www.hochwasserzentralen.de/info (last access: 21 February 2025), 2024. a
McCarthy, S., Tunstall, S., Parker, D., Faulkner, H., and Howe, J.: Risk communication in emergency response to a simulated extreme flood, Environ. Hazard., 7, 179–192, https://doi.org/10.1016/j.envhaz.2007.06.003, 2007. a
McInnes, L., Healy, J., and Astels, S.: hdbscan: Hierarchical density based clustering, J. Open Source Softw., 2, p. 205, https://doi.org/10.21105/joss.00205, 2017. a
McInnes, L., Healy, J., and Melville, J.: Umap: Uniform manifold approximation and projection for dimension reduction, 1–63 pp., https://doi.org/10.48550/arXiv.1802.03426, 2018. a, b
Mileti, D. S.: Factors related to flood warning response, in: US-Italy research workshop on the hydrometeorology, impacts, and management of extreme floods, 1–17 pp., Citeseer, https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4fa7217881768b6e8d79e076001c32b70615abc0 (last access: 21 February 2025), 1995. a
Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, 2023. a, b
Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., and Sander, J.: Density-based clustering validation, in: Proceedings of the 2014 SIAM international conference on data mining, 839–847 pp., SIAM, https://doi.org/10.1137/1.9781611973440.96, 2014. a
MunichRe, N.: Hurricanes, cold waves, tornadoes: Weather disasters in USA dominate natural disaster losses in 2021, Fact sheet natural catastrophies 2021, 1–44 pp., https://www.munichre.com/en/company/media-relations/media-information-and-corporate-news/media-information/2022/natural-disaster-losses-2021.html (last access: 21 February 2025), 2022. a
Paprotny, D., Sebastian, A., Morales-Nápoles, O., and Jonkman, S. N.: Trends in flood losses in Europe over the past 150 years, Nat. Commun., 9, 1985, https://doi.org/10.1038/s41467-018-04253-1, 2018. a
Re, M., Kazimierski, L. D., Garcia, P. E., Ortiz, N. E., and Lagos, M.: Assessment of crowdsourced social media data and numerical modelling as complementary tools for urban flood mitigation, Hydrol. Sci. J., 67, 1295–1308, https://doi.org/10.1080/02626667.2022.2075266, 2022. a
Rözer, V., Peche, A., Berkhahn, S., Feng, Y., Fuchs, L., Graf, T., Haberlandt, U., Kreibich, H., Sämann, R., Sester, M., Shehu, B., Wahl, J., and Neuweiler, I.: Impact-Based Forecasting for Pluvial Floods, Earth's Fut., 9, e2020EF001851, https://doi.org/10.1029/2020ef001851, 2021. a
Sermet, Y. and Demir, I.: An intelligent system on knowledge generation and communication about flooding, Environ. Modell. Softw., 108, 51–60, https://doi.org/10.1016/j.envsoft.2018.06.003, 2018. a, b
Sodoge, J., Kuhlicke, C., Mahecha, M. D., and de Brito, M. M.: Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany, Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, 2024. a
Spence, P. R., Lachlan, K. A., Lin, X., and del Greco, M.: Variability in Twitter Content Across the Stages of a Natural Disaster: Implications for Crisis Communication, Commun. Quarterly, 63, 171–186, https://doi.org/10.1080/01463373.2015.1012219, 2015. a, b, c
Thieken, A. H., Bubeck, P., Heidenreich, A., von Keyserlingk, J., Dillenardt, L., and Otto, A.: Performance of the flood warning system in Germany in July 2021 – insights from affected residents, Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, 2023. a
Tounsi, A., Temimi, M., and Lipizzi, C.: Exploring Social and Geographical Disparities During Hurricane Ida Using Geolocated Social Media Content, https://doi.org/10.2139/ssrn.4484915, 2023. a
Wu, Z., Zhang, Y., Chen, Q., and Wang, H.: Attitude of Chinese public towards municipal solid waste sorting policy: A text mining study, Sci. Total Environ., 756, 142674, https://doi.org/10.1016/j.scitotenv.2020.142674, 2021. a
Zhang, C., Fan, C., Yao, W., Hu, X., and Mostafavi, A.: Social media for intelligent public information and warning in disasters: An interdisciplinary review, Int. J. Info. Manage., 49, 190–207, https://doi.org/10.1016/j.ijinfomgt.2019.04.004, 2019. a, b, c
Zhang, X., Malkov, Y., Florez, O., Park, S., McWilliams, B., Han, J., and El-Kishky, A.: Twhin-bert: A socially-enriched pre-trained language model for multilingual tweet representations at twitter, in: Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining, 5597–5607 pp., https://doi.org/10.1145/3580305.3599921, 2023. a
Short summary
This study explores how social media, specifically Twitter (X), can help us understand public reactions to floods in Germany from 2014 to 2021. Using large language models, we extract topics and patterns of behavior from flood-related tweets. The findings offer insights to improve communication and disaster management. Topics related to low-impact flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events.
This study explores how social media, specifically Twitter (X), can help us understand public...
Altmetrics
Final-revised paper
Preprint