Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1807-2021
© Author(s) 2021. 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-21-1807-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2021
Research article |
| 14 Jun 2021
| 14 Jun 2021
Predicting social and health vulnerability to floods in Bangladesh
Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Wisconsin, USA
Climate Hazards Center, Department of Geography, University of California, Santa Barbara, California, USA
Hassan Ahmadul
Red Cross Red Crescent Climate Centre, the Hague, the Netherlands
Jonathan Patz
Global Health Institute, Nelson Institute Center for Sustainability and the Global Environment, and Department of Population Health Sciences, University of Wisconsin-Madison, Wisconsin, USA
Paul Block
Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Wisconsin, USA
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To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
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Disaster planning has historically underallocated resources for flood preparedness, but evidence supports reduced vulnerability via early actions. We evaluate the ability of multiple season-ahead streamflow prediction models to appropriately trigger early actions for the flood-prone Marañón River and Piura River in Peru. Our findings suggest that locally tailored statistical models may offer improved performance compared to operational physically based global models in low-data environments.
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To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
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Disaster planning has historically underallocated resources for flood preparedness, but evidence supports reduced vulnerability via early actions. We evaluate the ability of multiple season-ahead streamflow prediction models to appropriately trigger early actions for the flood-prone Marañón River and Piura River in Peru. Our findings suggest that locally tailored statistical models may offer improved performance compared to operational physically based global models in low-data environments.
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In August 2017 Bangladesh faced one of its worst river flooding events in recent history. For the large Brahmaputra basin, using precipitation alone as a proxy for flooding might not be appropriate. In this paper we explicitly test this assumption by performing an attribution of both precipitation and discharge as a flooding-related measure to climate change. We find the change in risk to be of similar order of magnitude (between 1 and 2) for both the meteorological and hydrological approach.
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Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
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Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
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Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
EGUsphere, https://doi.org/10.5194/egusphere-2023-2185, https://doi.org/10.5194/egusphere-2023-2185, 2023
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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.
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
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Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
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This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
Laurine A. de Wolf, Peter J. Robinson, Wouter J. W. Botzen, Toon Haer, Jantsje M. Mol, and Jeff Czajkowski
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-163, https://doi.org/10.5194/nhess-2023-163, 2023
Revised manuscript accepted for NHESS
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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. 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.
Stephen B. Ferencz, Ning Sun, Sean Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-149, https://doi.org/10.5194/nhess-2023-149, 2023
Revised manuscript under review for NHESS
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Drought has long posed an existential threat to society. Population growth and 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.
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gomez Zapata, and Yue Zhu
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Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-139, https://doi.org/10.5194/nhess-2023-139, 2023
Revised manuscript accepted for NHESS
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Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
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Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
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Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
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This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
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The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
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Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
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Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
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The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
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This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
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The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
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.
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
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In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
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Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
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Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
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Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
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In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
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This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
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This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
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This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
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The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). In this work we present the main results of the three survey phases, with a comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the survey.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, https://doi.org/10.5194/nhess-22-3543-2022, https://doi.org/10.5194/nhess-22-3543-2022, 2022
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This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
Cited articles
Ahern, M., Kovats, R. S., Wilkinson, P., Few, R., and Matthies, F.: Global
health impacts of floods: Epidemiologic evidence, Epidemiol. Rev., 27,
36–46, https://doi.org/10.1093/epirev/mxi004, 2005. a
Ahsan, M. N. and Warner, J.: The socioeconomic vulnerability index: A
pragmatic approach for assessing climate change led risks – A case study in the south-western coastal Bangladesh, Int. J. Disast. Risk Reduct., 8, 32–49, https://doi.org/10.1016/j.ijdrr.2013.12.009, 2014. a, b, c
Akanda, A. S., Jutla, A. S., Alam, M., De Magny, G. C., Siddique, A. K., Sack, R. B., Huq, A., Colwell, R. R., and Islam, S.: Hydroclimatic influences on seasonal and spatial cholera transmission cycles: Implications for public health intervention in the Bengal Delta, Water Resour. Res., 47, 1–11, https://doi.org/10.1029/2010WR009914, 2011. a
Alderman, K., Turner, L. R., and Tong, S.: Floods and human health: A
systematic review, Environ. Int., 47, 37–47, https://doi.org/10.1016/j.envint.2012.06.003, 2012. a, b
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and
flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175,
https://doi.org/10.5194/hess-17-1161-2013, 2013. a
Batterman, S., EIsenberg, J., Hardin, R., Kruk, M. E., Lemos, M. C., Michalak, A. M., Mukherjee, B., Renne, E., Stein, H., Watkins, C., and Wilson, M. L.: Sustainable control of water-related infectious diseases: A review and proposal for interdisciplinary health-based systems research, Environ. Health Perspect., 117, 1023–1032, https://doi.org/10.1289/ehp.0800423, 2009. a
BBS: Poverty Maps of Bangladesh 2010: Technical Report, Tech. Rep. 22062,
World Bank, World Food Programme, Bangladesh Bureau of Statistics, available at: http://hdl.handle.net/10986/20785 (last access: 10 June 2021), 2010. a
Birkmann, J.: Danger need not spell disaster But how vulnerable are we?, Tech. Rep. 1, available at: https://collections.unu.edu/view/UNU:3105
(last access: 10 June 2021), 2005. a
Birkmann, J.: Measuring vulnerability to natural hazards: Towards disaster
resilient societies, in: vol. 02, United Nations University, New York, 2006. a
CEGIS: Analytical framework for the planning of Integrated Water Resources
Management, December, CEGIS – Center for Environmental and Geographic Information Systems, Dhaka, Bangladesh, 2003. a
Colston, J., Olortegui, M. P., Zaitchik, B., Yori, P. P., Kang, G., Ahmed, T., Bessong, P., Mduma, E., Bhutta, Z., Shrestha, P. S., Lima, A., and Kosek, M.: Pathogen-specific impacts of the 2011–2012 La Niña-associated floods
on enteric infections in the MAL-ED Peru Cohort: A comparative interrupted
time series analysis, Int. J. Environ. Res. Publ. Health, 17, 487, https://doi.org/10.3390/ijerph17020487, 2020. a
Coughlan de Perez, E., van den Hurk, B., van Aalst, M. K., Jongman, B., Klose, T., and Suarez, P.: Forecast-based financing: an approach for catalyzing humanitarian action based on extreme weather and climate forecasts, Nat. Hazards Earth Syst. Sci., 15, 895–904,
https://doi.org/10.5194/nhess-15-895-2015, 2015. a
Cutter, S. L., Boruff, B. J., and Shirley, W. L.: Social Vulnerability to
Environmental Hazards, Social Sci. Quart., 84, 242–261,
https://doi.org/10.1111/1540-6237.8402002, 2003. a, b, c
Dewan, A. M.: Floods in a megacity: Geospatial techniques in assessing
hazards, risk and vulnerability, in: Floods in a Megacity: Geospatial
Techniques in Assessing Hazards, Risk and Vulnerability, chap. 6, Springer Netherlands, Dordrecht, 1–199, https://doi.org/10.1007/978-94-007-5875-9, 2013. a, b, c, d
DGHS: Bangladesh Health-National Adaptation Plan (HNAP), Tech. rep., Ministry
of Health and Family Welfare, Government of the People's Republic of
Bangladesh, Bangladesh, 2018. a
Doocy, S., Daniels, A., Murray, S., and Kirsch, T. D.: The human impact of
floods: a historical review of events 1980–2009 and systematic literature
review, PLoS Currents, available at: https://apps.who.int/iris/handle/10665/268903 (last access: 10 June 2021), 2013. a
Du, W., Fitzgerald, G. J., Clark, M., and Hou, X. Y.: Health impacts of floods, Prehospit. Disast. Med., 25, 265–272, https://doi.org/10.1017/S1049023X00008141, 2010. a
Emerton, R., Zsoter, E., Arnal, L., Cloke, H. L., Muraro, D., Prudhomme, C.,
Stephens, E. M., Salamon, P., and Pappenberger, F.: Developing a global
operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0, Geosci. Model Dev., 11, 3327–3346,
https://doi.org/10.5194/gmd-11-3327-2018, 2018. a
Fekete, A.: Validation of a social vulnerability index in context to river-floods in Germany, Nat. Hazards Earth Syst. Sci., 9, 393–403, https://doi.org/10.5194/nhess-9-393-2009, 2009. a, b
Gain, A. K., Mojtahed, V., Biscaro, C., Balbi, S., and Giupponi, C.: An
integrated approach of flood risk assessment in the eastern part of Dhaka
City, Nat. Hazards, 79, 1499–1530, https://doi.org/10.1007/s11069-015-1911-7, 2015. a, b, c
Hashizume, M., Wagatsuma, Y., Faruque, A. S., Hayashi, T., Hunter, P. R.,
Armstrong, B., and Sack, D. A.: Factors determining vulnerability to
diarrhoea during and after severe floods in Bangladesh, J. Water Health, 6, 323–332, https://doi.org/10.2166/wh.2008.062, 2008. a, b, c
Hoque, M. A. A., Tasfia, S., Ahmed, N., and Pradhan, B.: Assessing spatial
flood vulnerability at kalapara upazila in Bangladesh using an analytic
hierarchy process, Sensors, 19, 1302, https://doi.org/10.3390/s19061302, 2019. a, b, c
Islam, A. N., Deb, U. K., Al Amin, M., Jahan, N., Ahmed, I., Tabassum, S.,
Ahamad, M. G., Nabi, A., Singh, N. P., Kattarkandi, B., and Bantilan, C.:
Vulnerability to Climate Change: Adaptation Strategies and Layers of
Resilience Quantifying Vulnerability to Climate Change in Bangladesh, Tech. rep., ICRISAT – International Crops Research Institute for the Semi-Arid Tropics, Telangana, India, available at: http://oar.icrisat.org/8117/ (last access: 10 June 2021), 2013. a, b, c
Jonkman, S. and Vrijling, J.: Loss of life due to floods, J. Flood Risk Manage., 1, 43–56, 2008. a
Kaiser, H. F.: The Application of Electronic Computers to Factor Analysis,
Educ. Psychol. Meas., 20, 141–151, https://doi.org/10.1177/001316446002000116, 1960. a
Kienberger, S., Lang, S., and Zeil, P.: Spatial vulnerability units –
Expert-based spatial modelling of socio-economic vulnerability in the Salzach
catchment, Austria, Nat. Hazards Earth Syst. Sci., 9, 767–778,
https://doi.org/10.5194/nhess-9-767-2009, 2009. a
Kosek, M., Bern, C., and Guerrant, R. L.: The global burden of diarrhoeal
disease, as estimated from studies published between 1992 and 2000, Bull.
World Health Organiz., 81, 197–204, 2003. a
Kovats, R. S., Bouma, M. J., Hajat, S., Worrall, E., and Haines, A.: El Niño and health, Lancet, 362, 1481–1489, https://doi.org/10.1016/S0140-6736(03)14695-8, 2003. a
Kundzewicz, Z. W. and Kundzewicz, W. J.: Mortality in Flood Disasters, in: Extreme Weather Events and Public Health Responses, edited by: Kirch, W., Bertollini, R., and Menne, B., Springer, Berlin, Heidelberg, https://doi.org/10.1007/3-540-28862-7_19, 2005. a
Kundzewicz, Z. W. and Takeuchi, K.: Flood protection and management: quo
vadimus?, Hydrolog. Sci. J., 44, 417–432, 1999. a
Kunii, O., Nakamura, S., Abdur, R., and Wakai, S.: The impact on health and
risk factors of the diarrhoea epidemics in the 1998 Bangladesh floods, Publ. Health, 116, 68–74, https://doi.org/10.1038/sj.ph.1900828, 2002. a, b
Lee, D., Ahmadul, H., Patz, J., and Block, P.: Supplementary data to “Predicting social and health vulnerability to floods in Bangladesh” (Version 1.0) [Data set], Zenodo, https://doi.org/10.5281/zenodo.4718085, 2021. a
Mahhzab, M.: Lagging Districts Development: Background Study Paper for
Preparation of the Seventh Five-Year Plan, Tech. rep., BIDS – Bangladesh Institutue of Development Studies, Dhaka, Bangladesh, 2015. a
Mani, M. S. and Wang, L.: Climate Change and Health Impacts: How Vulnerable is Bangladesh and What Needs to be Done?, Tech. rep., World Bank Group, Washington, DC, available at: http://hdl.handle.net/10986/21820
(last access: 10 June 2021), 2014. a
Mazumder, A., Hassan, A., Islam, S., Islam, S., and Ragib Ahsan, M.: Spatial and Temporal Change in Disease Distribution for Climate Change in Bangladesh, in: Climate Change Risk and Adaptation in Bangladesh, chap. 7, edited by: Ahmadul, H. and Parsons, L., Green University Press, Dhaka, 109–115, 2015. a
MHFW: Facility Registry, available at: http://facilityregistry.dghs.gov.bd, last access: 24 November 2020. a
Nahar, N., Blomstedt, Y., Wu, B., Kandarina, I., Trisnantoro, L., and Kinsman, J.: Increasing the provision of mental health care for vulnerable,
disaster-affected people in Bangladesh, BMC Publ. Health, 14, 708, https://doi.org/10.1186/1471-2458-14-708, 2014. a
Netherlands Red Cross: Bangladesh Floods – August 2017 – Flooding levels & Vulnerability, available at:
https://data.humdata.org/dataset/bangladesh-floods-august-2017-vulnerability-population-density
(last access: 10 June 2021), 2017. a
Patnaik, U. and Narayanan, K.: Vulnerability and Climate Change: An Analysis of the Eastern Coastal Districts of India, MPRA Paper 22062, University Library of Munich, Munich Germany, available at: https://ideas.repec.org/p/pra/mprapa/22062.html (last access: 10 June 2021), 2009. a
Rabby, Y. W., Hossain, M. B., and Hasan, M. U.: Social vulnerability in the
coastal region of Bangladesh: An investigation of social vulnerability index
and scalar change effects, Int. J. Disast. Risk Reduct., 41, 101329, https://doi.org/10.1016/j.ijdrr.2019.101329, 2019. a, b, c
Roy, D. C. and Blaschke, T.: Spatial vulnerability assessment of floods in the coastal regions of Bangladesh, Geomat. Nat. Hazards Risk, 6, 21–44, https://doi.org/10.1080/19475705.2013.816785, 2015. a, b, c, d
Rufat, S., Tate, E., Emrich, C. T., and Antolini, F.: How Valid Are Social
Vulnerability Models?, Ann. Am. Assoc. Geogr., 109, 1131–1153, https://doi.org/10.1080/24694452.2018.1535887, 2019. a, b
Saaty, T. L. and Vargas, L. G.: Models, Methods, Concepts & Applications of
the Analytic Hierarchy Process, in: vol. 175 of nternational Series in
Operations Research & Management Science, Springer US, Boston, MA,
https://doi.org/10.1007/978-1-4614-3597-6, 2012. a
Schwartz, B. S., Harris, J. B., Khan, A. I., LaRocque, R. C., Sack, D. A.,
Malek, M. A., Faruque, A. S., Qadri, F., Calderwood, S. B., Luby, S. P., and
Ryan, E. T.: Diarrheal epidemics in Dhaka, Bangladesh, during three consecutive floods: 1988, 1998, and 2004, Am. J. Trop. Med. Hyg., 74, 1067–1073, https://doi.org/10.4269/ajtmh.2006.74.1067, 2006. a, b, c, d
Shahid, S.: Probable impacts of climate change on public health in Bangladesh, Asia-Pacific journal of public health/Asia-Pacific Academic
Consortium for Public Health, 22, 310–319, https://doi.org/10.1177/1010539509335499,
2010. a, b, c, d
Start Network: Bangladesh Flooding Disaster Summary Sheet, Tech. rep., available at:
https://reliefweb.int/report/bangladesh/bangladesh-flooding-disaster-summary-sheet-20-may-2018
(last access: 10 June 2021), 2018. a
Tapsell, S. M., Penning-Rowsell, E. C., Tunstall, S. M., and Wilson, T. L.:
Vulnerability to flooding: health and social dimensions, Philos. T. Roy. Soc. A, 360, 1511–1525, https://doi.org/10.1098/rsta.2002.1013, 2002. a
Uddin, K., Matin, M. A., and Meyer, F. J.: Operational flood mapping using
multi-temporal Sentinel-1 SAR images: A case study from Bangladesh, Remote
Sens., 11, 1581, https://doi.org/10.3390/rs11131581, 2019. a
UNISDR: Sendai Framework for Disaster Risk Reduction 2015–2030, Tech. rep.,
available at: http://www.preventionweb.net/publications/view/43291
(last access: 10 June 2021), 2015. a
Villagrán de Léon, J. C.: Rapid assessment of potential impacts
of a tsunami: lessons from the Port of Galle in Sri Lanka, UNU-EHS – UNU Institute for Environment and Human Security, available at:
https://collections.unu.edu/view/UNU:1876 (last access: 10 June 2021), 2008. a
Ward, P. J., Blauhut, V., Bloemendaal, N., Daniell, E. J., De Ruiter, C. M.,
Duncan, J. M., Emberson, R., Jenkins, F. S., Kirschbaum, D., Kunz, M., Mohr,
S., Muis, S., Riddell, A. G., Schäfer, A., Stanley, T., Veldkamp, I. E., and Hessel, W. C.: Review article: Natural hazard risk assessments at the global scale, Nat. Hazards Earth Syst. Sci., 20, 1069–1096,
https://doi.org/10.5194/nhess-20-1069-2020, 2020. a
WHO: Floods in the WHO European Region: health effects and their prevention,
WHO Regional Office for Europe, Copenhagen, available at:
http://www.euro.who.int/en/health-topics/environment-and-health/Climate-change/publications/2013/floods-in-the-who-european-region-health-effects-and-their-
prevention
(last access: 10 June 2021), 2013. a, b
World Bank: Population – Bangladesh, World Development Indicators, available at: https://data.worldbank.org/indicator/SP.POP.TOTL?locations=BD
(last access: 10 June 2021), 2018. a
Worldpop, Department of Geography and Geosciences University of Louisville,
Department de Geographie Universite de Namur, and CIESIN Columbia University: Global High Resolution Population Denominators Project, https://doi.org/10.5258/SOTON/WP00645, 2018. a
Short summary
This article assesses the thematic and composite social and health vulnerability of Bangladesh to floods. Tailored vulnerability, weighted by flood forecast and satellite inundation, can be used to predict the massive impacts of the August 2017 flood event. This approach has several advantages and practical implications, including the potential to promote targeted and coordinated disaster management and health practices.
This article assesses the thematic and composite social and health vulnerability of Bangladesh...
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