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
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Ileen N. Streefkerk, Jeroen C. J. H. Aerts, Jens de Bruijn, Khalid Hassaballah, Rhoda Achieng' Odongo, Teun Schrieks, Oliver Wasonga, and Anne F. Van Loon
Hydrol. Earth Syst. Sci., 30, 2225–2245, https://doi.org/10.5194/hess-30-2225-2026, https://doi.org/10.5194/hess-30-2225-2026, 2026
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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.
Fuqiang Tian, Murugesu Sivapalan, Sondoss El Sawah, Melissa Haeffner, Anthony Jakeman, Heidi Kreibich, Leyang Liu, Haoyang Lyu, Ana Mijic, Jiale Wang, Jing Wei, and Günter Blöschl
EGUsphere, https://doi.org/10.5194/egusphere-2026-1727, https://doi.org/10.5194/egusphere-2026-1727, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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This opinion paper shows how sociohydrology can better support water management by moving from understanding systems to guiding action. Drawing on ten years of work in the Panta Rhei initiative, it offers a simple way to compare cases, trace how actions lead to intended and unintended outcomes, and improve monitoring, learning, fairness, and legitimacy in decision-making.
Philip J. Ward, Marleen C. de Ruiter, Kees Boersma, Tomris Cesuroglu, Nathan Clark, Tina Comes, Ashok Dahal, Sonja Fransen, Jasper Verschuur, Carmen Anthonj, Srijith Balakrishnan, Jens de Bruijn, Eefje Hendriks, Rodrigo Mena Fluhmann, Goda Perlaviciute, Linda Steg, Marc van den Homberg, Cees van Westen, Funda Atun, Anja Schreijer, and Nicole van Maanen
EGUsphere, https://doi.org/10.5194/egusphere-2026-1331, https://doi.org/10.5194/egusphere-2026-1331, 2026
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We explore five core challenges that need to be addressed in order to move towards the Comprehensive Disaster and Climate Risk Management approach. This approach has been proposed within the newly emerging paradigm of a more holistic approach to managing the risks associated with climatic and/or non-climatic hazards and non-climatic risk drivers. We elaborate on each challenge, discuss why they matter for comprehensive disaster risk management, and provide ideas of how to overcome them.
Tim Busker, Daniela Rodriguez Castro, Sergiy Vorogushyn, Jaap Kwadijk, Davide Zoccatelli, Rafaella G. L. Oliveira, Heather J. Murdock, Laurent Pfister, Benjamin Dewals, Kymo Slager, Annegret H. Thieken, Jan Verkade, Patrick Willems, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 26, 1457–1478, https://doi.org/10.5194/nhess-26-1457-2026, https://doi.org/10.5194/nhess-26-1457-2026, 2026
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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 14 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.
Alina Bill-Weilandt, Nivedita Sairam, Dennis Wagenaar, Kasra Rafiezadeh Shahi, Heidi Kreibich, Perrine Hamel, and David Lallemant
Nat. Hazards Earth Syst. Sci., 26, 925–942, https://doi.org/10.5194/nhess-26-925-2026, https://doi.org/10.5194/nhess-26-925-2026, 2026
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Flooding is a major cause of agricultural loss globally. This study evaluates and compares flood damage models for rice crops. We present an inventory with 20 models from 12 countries, representing the most comprehensive review of such models for rice to date. The study offers practical guidance on model selection and expected errors when transferring models across regions. We provide models and lookup tables that can be used in flood risk assessments in rice-producing regions.
Yamile Villafani, Heiko Apel, Laurens J. N. Oostwegel, Thi Thao Nguyen Huynh, Hong Quan Nguyen, Nigel K. Downes, Andrea Cominola, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2026-850, https://doi.org/10.5194/egusphere-2026-850, 2026
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Flooding is an increasing threat in fast-growing cities, disrupting daily life, damaging homes, and raising disease risks from contaminated water. In Can Tho City, Vietnam, this study estimates household financial damage and the spread of harmful pathogens in floodwaters, then combines these impacts to identify neighborhoods at greatest risk. The results help planners target protection and support where it is most needed.
Ravikumar Guntu, Guilherme Samprogna Mohor, Annegret H. Thieken, Meike Müller, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 26, 163–186, https://doi.org/10.5194/nhess-26-163-2026, https://doi.org/10.5194/nhess-26-163-2026, 2026
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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, Ravikumar Guntu, Nivedita Sairam, Kasra Rafiezadeh Shahi, Anna Buch, Melanie Fischer, Chandrika Thulaseedharan Dhanya, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 26, 103–118, https://doi.org/10.5194/nhess-26-103-2026, https://doi.org/10.5194/nhess-26-103-2026, 2026
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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 action, suggesting adaptation strategies can effectively reduce flash flood losses.
Aaron Buhrmann, Cecilia I. Nievas, Nivedita Sairam, James E. Daniell, Heidi Kreibich, and Seth Bryant
EGUsphere, https://doi.org/10.5194/egusphere-2025-5172, https://doi.org/10.5194/egusphere-2025-5172, 2025
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Our research lays the groundwork for the next generation of disaster risk modelling by improving how building-level value and use are estimated across Germany. By testing multiple data sources and methods, we identify a transparent, adaptable approach that enhances forecasts of damage and recovery—helping protect lives, property, and communities.
Tarun Sadana, Jeroen C. J. H. Aerts, Dirk Eilander, Bruno Merz, Hans de Moel, Tim Busker, Veerle Bril, and Jens de Bruijn
EGUsphere, https://doi.org/10.5194/egusphere-2025-4387, https://doi.org/10.5194/egusphere-2025-4387, 2025
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We evaluated a global flood model using satellite data from 499 historical flood events across 96 countries. Our study shows that larger upstream river basins are modelled more accurately, while using observed river gauges and high-resolution elevation data can improve results. Our findings highlight the importance of large-scale validation and sensitivity analyses to enhance future global flood hazard assessments and prediction accuracy.
Vylon Ooms, Thijs Endendijk, Jeroen C. J. H. Aerts, W. J. Wouter Botzen, and Peter J. Robinson
Nat. Hazards Earth Syst. Sci., 25, 4283–4298, https://doi.org/10.5194/nhess-25-4283-2025, https://doi.org/10.5194/nhess-25-4283-2025, 2025
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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.
Julius Schlumberger, Robert Šakić Trogrlić, Jeroen C. J. H. Aerts, Jung-Hee Hyun, Stefan Hochrainer-Stigler, Marleen de Ruiter, and Marjolijn Haasnoot
Nat. Hazards Earth Syst. Sci., 25, 4089–4113, https://doi.org/10.5194/nhess-25-4089-2025, https://doi.org/10.5194/nhess-25-4089-2025, 2025
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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.
Kasra Rafiezadeh Shahi, Nivedita Sairam, Lukas Schoppa, Le Thanh Sang, Do Ly Hoai Tan, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 2845–2861, https://doi.org/10.5194/nhess-25-2845-2025, https://doi.org/10.5194/nhess-25-2845-2025, 2025
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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 accounting for 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.
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
Nat. Hazards Earth Syst. Sci., 25, 2437–2453, https://doi.org/10.5194/nhess-25-2437-2025, https://doi.org/10.5194/nhess-25-2437-2025, 2025
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Many households in Vietnam depend on revenue from micro-businesses (shop houses). However, losses caused by regular flooding are not modelled. Business turnover, building age, and water depth were found to be the main drivers of flood losses of micro-businesses. We built and validated probabilistic models (non-parametric Bayesian networks) that estimate flood losses of micro-businesses. The results help with flood risk management and adaption decision making for micro-businesses.
Irene Benito, Jeroen C. J. H. Aerts, Philip J. Ward, Dirk Eilander, and Sanne Muis
Nat. Hazards Earth Syst. Sci., 25, 2287–2315, https://doi.org/10.5194/nhess-25-2287-2025, https://doi.org/10.5194/nhess-25-2287-2025, 2025
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Global flood models are key to the mitigation of coastal flooding impacts, yet they still have limitations when providing actionable insights locally. We present a multiscale framework that couples dynamic water level and flood models and bridges the fully global and local modelling approaches. We apply it to three historical storms. Our findings reveal that the importance of model refinements varies based on the study area characteristics and the storm’s nature.
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
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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
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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
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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.
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
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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
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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.
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
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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.
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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
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...
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