Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1335-2023
© Author(s) 2023. 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-23-1335-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
06 Apr 2023
Review article |
| 06 Apr 2023
| 06 Apr 2023
Review article: Design and evaluation of weather index insurance for multi-hazard resilience and food insecurity
Marcos Roberto Benso
CORRESPONDING AUTHOR
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
National Institute of Science and Technology for the Fight Against Hunger, São Paulo, SP, Brazil
National Institute of Science and Technology for Climate Change Phase 2 (INCT-II), São Paulo, SP, Brazil
Gabriela Chiquito Gesualdo
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
Roberto Fray Silva
Institute of Advanced Studies, University of São Paulo, São Paulo, SP, Brazil
Center for Artificial Intelligence (C4AI), São Paulo, SP, Brazil
National Institute of Science and Technology for the Fight Against Hunger, São Paulo, SP, Brazil
Greicelene Jesus Silva
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
National Institute of Science and Technology for Climate Change Phase 2 (INCT-II), São Paulo, SP, Brazil
Luis Miguel Castillo Rápalo
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
Fabricio Alonso Richmond Navarro
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
Patricia Angélica Alves Marques
Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil
Center for Artificial Intelligence (C4AI), São Paulo, SP, Brazil
National Institute of Science and Technology for Climate Change Phase 2 (INCT-II), São Paulo, SP, Brazil
José Antônio Marengo
Brazilian National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, SP, Brazil
National Institute of Science and Technology for Climate Change Phase 2 (INCT-II), São Paulo, SP, Brazil
Eduardo Mario Mendiondo
WADI Lab, São Carlos School of Engineering, University of São Paulo, São
Carlos, SP, Brazil
Center for Artificial Intelligence (C4AI), São Paulo, SP, Brazil
National Institute of Science and Technology for the Fight Against Hunger, São Paulo, SP, Brazil
National Institute of Science and Technology for Climate Change Phase 2 (INCT-II), São Paulo, SP, Brazil
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Marcos Roberto Benso, Roberto Fray Silva, Gabriela Gesualdo Chiquito, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, and Eduardo Mario Mendiondo
EGUsphere, https://doi.org/10.5194/egusphere-2023-3002, https://doi.org/10.5194/egusphere-2023-3002, 2024
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The production of food is susceptible to several climate hazards such as droughts, excessive rainfall, and heat waves. In this paper, we present a methodology that uses artificial intelligence for assessing the impact of climate risks on food production. Our methodology helps us to automatically select the most relevant indices and critical thresholds of these indices that when surpassed can increase the danger of crop yield loss.
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
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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.
Marina Batalini de Macedo, Nikunj K. Mangukiya, Maria Clara Fava, Ashutosh Sharma, Roberto Fray da Silva, Ankit Agarwal, Maria Tereza Razzolini, Eduardo Mario Mendiondo, Narendra K. Goel, Mathew Kurian, and Adelaide Cássia Nardocci
Proc. IAHS, 386, 41–46, https://doi.org/10.5194/piahs-386-41-2024, https://doi.org/10.5194/piahs-386-41-2024, 2024
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More and more extreme rainfall causes flooding problems in cities and communities, affecting the health and well-being of the population, as well as causing damage to the economy. To help design actions aiming at reducing the impacts of these floods, computational models can be used to simulate their extent. However, there are different types of models currently available. In this study, we evaluated three different models, for a city in Brazil and a region in India, to guide the best use of it.
Gabriela C. Gesualdo, Marcos R. Benso, Fabrício A. R. Navarro, Luis M. Castillo, and Eduardo M. Mendiondo
Proc. IAHS, 385, 117–120, https://doi.org/10.5194/piahs-385-117-2024, https://doi.org/10.5194/piahs-385-117-2024, 2024
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We simulated indexed insurance for a water utility responsible for providing water to 7.2 million people in a metropolitan region. According to our findings, an annual amount (premium) of USD 0.43, 0.87, and 1.73 should be charged per person to obtain drought coverage for three, six, and twelve months. The premium fee can be implemented in the water bills as a new strategy to pool the risk between the supplied users and the utility, to prevent them from being exposed to surcharge fluctuations.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Gesualdo Chiquito, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, and Eduardo Mario Mendiondo
EGUsphere, https://doi.org/10.5194/egusphere-2023-3002, https://doi.org/10.5194/egusphere-2023-3002, 2024
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The production of food is susceptible to several climate hazards such as droughts, excessive rainfall, and heat waves. In this paper, we present a methodology that uses artificial intelligence for assessing the impact of climate risks on food production. Our methodology helps us to automatically select the most relevant indices and critical thresholds of these indices that when surpassed can increase the danger of crop yield loss.
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.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
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The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Ashish Shrestha, Felipe Augusto Arguello Souza, Samuel Park, Charlotte Cherry, Margaret Garcia, David J. Yu, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 26, 4893–4917, https://doi.org/10.5194/hess-26-4893-2022, https://doi.org/10.5194/hess-26-4893-2022, 2022
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Equitable sharing of benefits is key to successful cooperation in transboundary water resource management. However, external changes can shift the split of benefits and shifts in the preferences regarding how an actor’s benefits compare to the other’s benefits. To understand how these changes can impact the robustness of cooperative agreements, we develop a socio-hydrological system dynamics model of the benefit sharing provision of the Columbia River Treaty and assess a series of scenarios.
Gabriela Chiquito Gesualdo, Paulo Tarso Oliveira, Dulce Buchala Bicca Rodrigues, and Hoshin Vijai Gupta
Hydrol. Earth Syst. Sci., 23, 4955–4968, https://doi.org/10.5194/hess-23-4955-2019, https://doi.org/10.5194/hess-23-4955-2019, 2019
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We investigate the influence of anticipated climate change on water security in the Jaguari Basin, which is the main source of freshwater for 9 million people in the São Paulo metropolitan region. Our findings indicate an expansion of the basin critical period, and identify October and November as the most vulnerable months. There is an urgent need to implement efficient mitigation and adaptation policies that recognize the annual pattern of variation between insecure and secure periods.
Denise Taffarello, Raghavan Srinivasan, Guilherme Samprogna Mohor, João Luis Bittencourt Guimarães, Maria do Carmo Calijuri, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 22, 4699–4723, https://doi.org/10.5194/hess-22-4699-2018, https://doi.org/10.5194/hess-22-4699-2018, 2018
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This paper aims to compare freshwater quality scenarios under different land uses, related to ecosystem-based adaptation in subtropical headwaters. Using a spatially semi-distributed model, nitrate, total phosphorous loads and sediments yield were modeled in Brazilian catchments ranging from 7 to 1037 km2. In short, we proposed the new hydrologic services index as a composite metric comparing water pollution levels for reference catchments related to the grey water footprint and water yield.
Diego A. Guzmám, Guilherme S. Mohor, Denise Taffarello, and Eduardo M. Mendiondo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-615, https://doi.org/10.5194/hess-2017-615, 2017
Manuscript not accepted for further review
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Climate variability and increasing water demands prioritize the need to implement planning strategies for urban water security. Within the context of managing the financial resilience, we have explored how to evaluate the water utility company economic profit losses to face the hydrological drought impacts. Thus, the main objective of this work is propose a methodology to integrate the coevolution of anthropogenic factors and climate, which directly influence water availability.
Jose A. Marengo, Gilberto F. Fisch, Lincoln M. Alves, Natanael V. Sousa, Rong Fu, and Yizhou Zhuang
Atmos. Chem. Phys., 17, 7671–7681, https://doi.org/10.5194/acp-17-7671-2017, https://doi.org/10.5194/acp-17-7671-2017, 2017
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The onset and demise of the rainy season in Amazonia are assessed in this study using meteorological data from the GoAmazon experiment for the 2014–15 rainy season. The onset of the rainy season was strongly associated with changes in large-scale circulation in the region, and our analyses using regional thermodynamic indices suggest that local changes such the regional thermodynamic characteristics may have been less important on the occurrence of the onset compared to large-scale circulation.
A. Drumond, J. Marengo, T. Ambrizzi, R. Nieto, L. Moreira, and L. Gimeno
Hydrol. Earth Syst. Sci., 18, 2577–2598, https://doi.org/10.5194/hess-18-2577-2014, https://doi.org/10.5194/hess-18-2577-2014, 2014
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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
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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
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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
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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
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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
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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
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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
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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.
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
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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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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.
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
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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.
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
EGUsphere, https://doi.org/10.5194/egusphere-2024-2556, https://doi.org/10.5194/egusphere-2024-2556, 2024
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This study explores how social media, specifically Twitter (X), can help 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.
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
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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.
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
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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.
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
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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
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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.
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
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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
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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
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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
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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.
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
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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
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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
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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.
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
EGUsphere, https://doi.org/10.5194/egusphere-2024-1407, https://doi.org/10.5194/egusphere-2024-1407, 2024
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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.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2024-1588, https://doi.org/10.5194/egusphere-2024-1588, 2024
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated all 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 damages. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrology models in shaping policies to lessen drought impacts.
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
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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
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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
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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
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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 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
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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
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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
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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
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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
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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.
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci., 24, 673–679, https://doi.org/10.5194/nhess-24-673-2024, https://doi.org/10.5194/nhess-24-673-2024, 2024
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In this communication, we reflect on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna floods. The most frequently reported damage involves water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems, and the lack of established monitoring activities appear to be the most challenging aspects for future research.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Lisa Dillenardt and Annegret H. Thieken
EGUsphere, https://doi.org/10.5194/egusphere-2024-162, https://doi.org/10.5194/egusphere-2024-162, 2024
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Using survey data, we analysed the influence of different flood types on whether households implement adaptive measures. We found that communication and management strategies need to involve municipalities and should be tailored to the locally relevant flood type.
Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci., 24, 179–197, https://doi.org/10.5194/nhess-24-179-2024, https://doi.org/10.5194/nhess-24-179-2024, 2024
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Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
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Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
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This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
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This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Cited articles
Abdi, M. J., Raffar, N., Zulkafli, Z., Nurulhuda, K., Rehan, B. M., Muharam, F. M., Khosim, N. A., and Tangang, F.: Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods, Int. J. Disast. Risk Re., 67, 102653, https://doi.org/10.1016/j.ijdrr.2021.102653, 2022. a, b, c, d
Akter, S.: The Role of Microinsurance as a Safety Net Against Environmental Risks in Bangladesh, J. Environ. Dev., 21, 263–280, https://doi.org/10.1177/1070496512442505, 2012. a
Aria, M. and Cuccurullo, C.: bibliometrix: An R-tool for comprehensive science mapping analysis, J. Informetr., 11, 959–975, 2017. a
Awondo, S. N.: Efficiency of region-wide catastrophic weather risk pools: Implications for African Risk Capacity insurance program, J. Dev. Econ., 136, 111–118, https://doi.org/10.1016/j.jdeveco.2018.10.004, 2019. a, b
Baldos, U., Haqiqi, I., Hertel, T., Horridge, M., and Liu, J.: SIMPLE-G: A multiscale framework for integration of economic and biophysical determinants of sustainability, Environ. Modell. Softw., 133, 104805, https://doi.org/10.1016/j.envsoft.2020.104805, 2020. a
Barnett, B. J., Barrett, C. B., and Skees, J. R.: Poverty Traps and Index-Based Risk Transfer Products, World Dev., 36, 1766–1785, https://doi.org/10.1016/j.worlddev.2007.10.016, 2008. a
Benso, M. R., Fray da Silva, R., Gesualdo, G.,
Jesus da Silva, G., Castillo, L., Richmond Navarro, F. A., Marques,
P. A. A., Marengo, J., Mendiondo, and Eduardo, M.: Multi-hazard
risk index insurance for soybean in Parana, Brazil, V1, Mendeley Data [data set],
https://doi.org/10.17632/3xjshm9n5w.1, 2023. a
Bhering, S. B., Dos Santos, H. G., Bognola, I., Cúrcio, G., Carvalho Junior, W. D., Chagas,
C. D. S., Manzatto, C., Áglio, M., and Silva, J. D. S.: Mapa de solos do Estado do Paraná,
legenda atualizada, in: 32th CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, O solo e
a produção de bioenergia: perspectivas e desafios: anais, SBCS, Viçosa, MG; UFC,
Fortaleza, 2009. a
Blier-Wong, C., Cossette, H., Lamontagne, L., and Marceau, E.: Machine learning in P&C insurance: A review for pricing and reserving, Risks, 9, 4, https://doi.org/10.3390/risks9010004, 2020. a, b, c
Boyle, C. F., Haas, J., and Kern, J. D.: Development of an irradiance-based
weather derivative to hedge cloud risk for solar energy systems, Renew.
Energ., 164, 1230–1243, https://doi.org/10.1016/j.renene.2020.10.091, 2021. a, b, c, d
Brandão, A. D. and Sodek, L.: Nitrate uptake and metabolism by roots of soybean plants under oxygen deficiency, Brazilian Journal of Plant Physiology, 21, 13–23, 2009. a
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001. a
Brunner, M. I., Slater, L., Tallaksen, L. M., and Clark, M.: Challenges in modeling and predicting floods and droughts: A review, WIREs Water, 8, e1520, https://doi.org/10.1002/WAT2.1520, 2021. a
Cobo, M., López-Herrera, A., Herrera-Viedma, E., and Herrera, F.: An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field, J. Informetr., 5, 146–166, https://doi.org/10.1016/j.joi.2010.10.002, 2011. a
Cremades, R., Surminski, S., Máñez Costa, M., Hudson, P., Shrivastava, P., and Gascoigne, J.: Using the adaptive cycle in climate-risk insurance to design resilient futures, Nat. Clim. Change, 8, 4–7, 2018. a
da Silva, E. H. F. M., Antolin, L. A. S., Zanon, A. J., Junior, A. S. A., de Souza, H. A., dos Santos Carvalho, K., Junior, N. A. V., and Marin, F. R.: Impact assessment of soybean yield and water productivity in Brazil due to climate change, Eur. J. Agron., 129, 126329, https://doi.org/10.1016/j.eja.2021.126329, 2021. a
Denaro, S., Castelletti, A., Giuliani, M., and Characklis, G.: Fostering cooperation in power asymmetrical water systems by the use of direct release rules and index-based insurance schemes, Adv. Water Resour., 115, 301–314, https://doi.org/10.1016/j.advwatres.2017.09.021, 2018. a, b
Denaro, S., Castelletti, A., Giuliani, M., and Characklis, G.: Insurance Portfolio Diversification Through Bundling for Competing Agents Exposed to Uncorrelated Drought and Flood Risks, Water Resour. Res., 56, e2019WR026443, https://doi.org/10.1029/2019WR026443, 2020. a, b
Ejiyi, C. J., Qin, Z., Salako, A. A., Happy, M. N., Nneji, G. U., Ukwuoma, C. C., Chikwendu, I. A., and Gen, J.: Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms, International Journal of Interactive Multimedia and Artificial Intelligence, 7, 75–85, https://doi.org/10.9781/ijimai.2022.02.005, 2022. a
FAO: Chapter 2. Food security: concepts and measurement, Trade Reforms and Food Security, Conceptualizing the Linkages, Food and Agriculture Organization, United Nations, Rome, https://www.fao.org/3/y4671e/y4671e06.htm (last access: 8 March 2023), 2003. a
FAO: The Water-Energy-Food Nexus A new approach in support of food security and sustainable agriculture, Food and Agriculture Organization, United Nations, Rome, https://www.fao.org/3/bl496e/bl496e.pdf (last access: 8 March 2023), 2014. a
Figueiredo, R., Martina, M. L., Stephenson, D. B., and Youngman, B. D.: A probabilistic paradigm for the parametric insurance of natural hazards, Risk Anal., 38, 2400–2414, 2018. a
Foster, B., Kern, J., and Characklis, G.: Mitigating hydrologic financial risk in hydropower generation using index-based financial instruments, Water Resources and Economics, 10, 45–67, https://doi.org/10.1016/j.wre.2015.04.001, 2015. a
Frees, E. W., Derrig, R. A., and Meyers, G.: Predictive modeling applications in actuarial science, vol. 1, Cambridge University Press, https://doi.org/10.1017/CBO9781139342674, 2014. a
Furuya, J., Mar, S. S., Hirano, A., and Sakurai, T.: Optimum insurance contract of flood damage index insurance for rice farmers in Myanmar, Paddy Water Environ., 19, 319–330, https://doi.org/10.1007/s10333-021-00859-2, 2021. a, b, c
Ghosh, R. K., Gupta, S., Singh, V., and Ward, P. S.: Demand for Crop Insurance in Developing Countries: New Evidence from India, J. Agr. Econ., 72, 293–320, https://doi.org/10.1111/1477-9552.12403, 2021. a, b
Gill, J. C. and Malamud, B. D.: Reviewing and visualizing the interactions of natural hazards, Rev. Geophys., 52, 680–722, https://doi.org/10.1002/2013RG000445, 2014. a, b, c
Gómez-Limón, J. A.: Hydrological drought insurance for irrigated agriculture in southern Spain, Agr. Water Manage., 240, 106271, https://doi.org/10.1016/j.agwat.2020.106271, 2020. a, b, c, d
Guerrero-Baena, M. and Gómez-Limón, J.: Insuring Water Supply in Irrigated Agriculture: A Proposal for Hydrological Drought Index-Based Insurance in Spain, Water, 11, 686, https://doi.org/10.3390/w11040686, 2019. a, b, c
Guzmán, D. A., Mohor, G. S., and Mendiondo, E. M.: Multi-Year Index-Based Insurance for Adapting Water Utility Companies to Hydrological Drought: Case Study of a Water Supply System of the Sao Paulo Metropolitan Region, Brazil, Water, 12, 2954, https://doi.org/10.3390/w12112954, 2020. a, b
Halcrow, H. G.: Actuarial Structures for Crop Insurance, Am. J. Agr. Econ., 31, 418, https://doi.org/10.2307/1232330, 1949. a
Hillier, J. K., Matthews, T., Wilby, R. L., and Murphy, C.: Multi-hazard dependencies can increase or decrease risk, Nat. Clim. Change, 10, 595–598, https://doi.org/10.1038/s41558-020-0832-y, 2020. a
Hoek van Dijke, A. J., Herold, M., Mallick, K., Benedict, I., Machwitz, M., Schlerf, M., Pranindita, A., Theeuwen, J. J., Bastin, J.-F., and Teuling, A. J.: Shifts in regional water availability due to global tree restoration, Nat. Geosci., 15, 363–368, 2022. a
Hohl, R., Jiang, Z., Vu, M. T., Vijayaraghavan, S., and Liong, S.-Y.: Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer, Agricultural Finance Review, 81, 151–168, https://doi.org/10.1108/AFR-02-2020-0020, 2021. a, b, c
Hudson, P., Botzen, W. W., Feyen, L., and Aerts, J. C.: Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction, Ecol. Econ., 125, 1–13, 2016. a
IPCC: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Press University, ISBN 978-92-9169-160-9, 2022. a
Kahneman, D. and Tversky, A.: Prospect Theory: An Analysis of Decision under Risk, Econometrica, 47, 263–292, https://doi.org/10.2307/1914185, 1979. a
Kath, J., Mushtaq, S., Henry, R., Adeyinka, A., and Stone, R.: Index insurance benefits agricultural producers exposed to excessive rainfall risk, Weather and Climate Extremes, 22, 1–9, https://doi.org/10.1016/J.WACE.2018.10.003, 2018. a, b
Kath, J., Mushtaq, S., Henry, R., Adeyinka, A. A., Stone, R., Marcussen, T., and Kouadio, L.: Spatial variability in regional scale drought index insurance viability across Australia's wheat growing regions, Climate Risk Management, 24, 13–29, https://doi.org/10.1016/j.crm.2019.04.002, 2019. a, b, c, d
Keskitalo, E. C. H., Vulturius, G., and Scholten, P.: Adaptation to climate change in the insurance sector: examples from the UK, Germany and the Netherlands, Nat. Hazards, 71, 315–334, 2014. a
Kim, W., Iizumi, T., and Nishimori, M.: Global patterns of crop production losses associated with droughts from 1983 to 2009, J. Appl. Meteorol. Clim., 58, 1233–1244, https://doi.org/10.1175/JAMC-D-18-0174.1, 2019. a
Komendantova, N., Mrzyglocki, R., Mignan, A., Khazai, B., Wenzel, F., Patt, A., and Fleming, K.: Multi-hazard and multi-risk decision-support tools as a part of participatory risk governance: Feedback from civil protection stakeholders, Int. J. Disast. Risk Re., 8, 50–67, https://doi.org/10.1016/j.ijdrr.2013.12.006, 2014. a
Kraehnert, K., Osberghaus, D., Hott, C., Habtemariam, L. T., Wätzold, F., Hecker, L. P., and Fluhrer, S.: Insurance Against Extreme Weather Events: An Overview, Review of Economics, 72, 71–95, https://doi.org/10.1515/roe-2021-0024, 2021. a
Leblois, A., Quirion, P., and Sultan, B.: Price vs. weather shock hedging for cash crops: Ex ante evaluation for cotton producers in Cameroon, Ecol. Econ., 101, 67–80, https://doi.org/10.1016/j.ecolecon.2014.02.021, 2014. a
Lesk, C., Coffel, E., Winter, J., Ray, D., Zscheischler, J., Seneviratne, S. I., and Horton, R.: Stronger temperature–moisture couplings exacerbate the impact of climate warming on global crop yields, Nature Food, 2, 683–691, 2021. a
Liaw, A. and Wiener, M.: Classification and Regression by randomForest, R News, 2, 18–22, https://CRAN.R-project.org/doc/Rnews/ (last access: 8 March 2023), 2002. a
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., Clarke, M., Devereaux, P. J., Kleijnen, J., and Moher, D.: The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration, J. Clin. Epidemiol., 62, e1–e34, 2009. a, b
Lyubchich, V., Newlands, N. K., Ghahari, A., Mahdi, T., and Gel, Y. R.: Insurance risk assessment in the face of climate change: Integrating data science and statistics, WIREs Comput. Stat., 11, e1462, https://doi.org/10.1002/wics.1462, 2019. a
Machado, M. L., Nascimento, N., Baptista, M., Gonçalves, M., Silva, A., Lima, J. d., Dias, R., Silva, A., Machado, E., and Fernandes, W.: Curvas de danos de inundação versus profundidade de submersão: desenvolvimento de metodologia, Revista de Gestão de Água da América Latina, 2, 35–52, 2005. a
MacQueen, J.: Classification and analysis of multivariate observations, in: 5th Berkeley Symp. Math. Statist. Probability, 1966, Barkley, University of
California Press, 281–297, 1967. a
Miranda, M. J.: Area‐Yield Crop Insurance Reconsidered, Am. J. Agr. Econ., 73, 233–242, https://doi.org/10.2307/1242708, 1991. a, b
Monteleone, B., Borzí, I., Bonaccorso, B., and Martina, M.: Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves, Nat. Hazards, 1–36, online first, https://doi.org/10.1007/s11069-022-05791-0, 2022. a
Mortensen, E. and Block, P.: ENSO Index-Based Insurance for Agricultural Protection in Southern Peru, Geosciences, 8, 64, https://doi.org/10.3390/geosciences8020064, 2018. a, b, c
Müller, A. and Grandi, M.: Weather Derivatives: A Risk Management Tool for Weather-sensitive Industries, Geneva Pap. R. I.-Iss. P., 25, 273–287, https://doi.org/10.1111/1468-0440.00065, 2000. a, b
Mußhoff, O., Hirschauer, N., Grüner, S., and Pielsticker, S.: Bounded rationality and the adoption of weather index insurance, Agricultural Finance Review, 78, 116–134, https://doi.org/10.1108/AFR-02-2017-0008, 2018. a
Nelsen, R. B.: An Introduction to Copulas, in: Springer Series in Statistics, Springer New York, New York, NY, https://doi.org/10.1007/0-387-28678-0, 2006. a
Norton, M. T., Turvey, C., and Osgood, D.: Quantifying spatial basis risk for weather index insurance, The Journal of Risk Finance, 14, 20–34, https://doi.org/10.1108/15265941311288086, 2013. a, b, c
Odening, M. and Shen, Z.: Challenges of insuring weather risk in agriculture, Agricultural Finance Review, 74, 188–199, https://doi.org/10.1108/AFR-11-2013-0039, 2014. a
Parana: Levantamento da Produção Agropecuária, https://www.agricultura.pr.gov.br/deral/ProducaoAnual, last access: 8 March 2023. a
Paudel, Y., Botzen, W. J., and Aerts, J. C.: Influence of climate change and socio-economic development on catastrophe insurance: a case study of flood risk scenarios in the Netherlands, Reg. Environ. Change, 15, 1717–1729, 2015. a
Pereira, D. I., Pereira, P., Brilha, J., and Santos, L.: Geodiversity assessment of Paraná State (Brazil): an innovative approach, Environ. Manage., 52, 541–552, 2013. a
Peterson, T., Folland, C., Gruza, G., Hogg, W., Mokssit, A., and Plummer, N.: Report on the activities of the working group on climate change detection and related rapporteurs, World Meteorological Organization Geneva, http://etccdi.pacificclimate.org/docs/wgccd.2001.pdf (last access: 8 March 2023), 2001. a
Pislyakov, V. and Shukshina, E.: Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international
collaboration, J. Assoc. Inf. Sci. Tech., 65, 2321–2330, https://doi.org/10.1002/asi.23093, 2014. a
Platteau, J.-P., De Bock, O., and Gelade, W.: The demand for microinsurance: A literature review, World Dev., 94, 139–156, 2017. a
Porth, L., Boyd, M., and Pai, J.: Reducing risk through pooling and selective reinsurance using simulated annealing: An example from crop insurance, Geneva Risk Ins. Rev., 41, 163–191, 2016. a
R Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, https://www.r-project.org/ (last access: 8 March 2023), 2022. a
Raucci, G. L., Lanna, R., da Silveira, F., and Capitani, D. H. D.: Development of weather derivatives: evidence from the Brazilian soybean market, Italian Review of Agricultural Economics, 74, 17–28, https://doi.org/10.13128/REA-10850, 2019. a
Riahi, K., Van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., KC, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M.,
Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: an overview, Global Environ. Change, 42, 153–168, 2017. a
Ricome, A., Affholder, F., Gérard, F., Muller, B., Poeydebat, C., Quirion, P., and Sall, M.: Are subsidies to weather-index insurance the best use of public funds? A bio-economic farm model applied to the Senegalese groundnut basin, Agr. Syst., 156, 149–176, https://doi.org/10.1016/j.agsy.2017.05.015, 2017. a
Righetto, J., Mendiondo, E., and Righetto, A.: Modelo de Seguro para Riscos Hidrológicos, Revista Brasileira de Recursos, 12, 107–113, https://doi.org/10.21168/rbrh.v12n2.p107-113, 2007. a
Rodríguez, Y. E., Pérez-Uribe, M. A., and Contreras, J.: Wind put barrier options pricing based on the Nordix index, Energies, 14, 1177, https://doi.org/10.3390/en14041177, 2021. a, b
Roznik, M., Brock Porth, C., Porth, L., Boyd, M., and Roznik, K.: Improving agricultural microinsurance by applying universal kriging and generalised additive models for interpolation of mean daily temperature, Geneva Pap. R. I.-Iss. P., 44, 446–480, https://doi.org/10.1057/s41288-019-00127-9, 2019. a
Sant, D. T.: Estimating Expected Losses in Auto Insurance, J. Risk Insur., 47, 133–151, https://doi.org/10.2307/252686, 1980. a
Sarris, A.: Weather index insurance for agricultural development: Introduction and overview, Agr. Econ., 44, 381–384, https://doi.org/10.1111/agec.12022, 2013. a
Saxton, K. E. and Rawls, W. J.: Soil water characteristic estimates by texture and organic matter for hydrologic solutions, Soil Sci. Soc. Am. J., 70, 1569–1578, 2006. a
Scopus: What is Scopus about?, https://service.elsevier.com/app/answers/detail/a_id/15100/supporthub/scopus/ (last access: 8 March 2023), 2022. a
Sekhri, S., Kumar, P., Fürst, C., and Pandey, R.: Mountain specific multi-hazard risk management framework (MSMRMF): Assessment and mitigation of multi-hazard and climate change risk in the Indian Himalayan Region, Ecol. Indic., 118, 106700, https://doi.org/10.1016/j.ecolind.2020.106700, 2020. a
Skees, J. R.: Challenges for use of index‐based weather insurance in lower
income countries, Agricultural Finance Review, 68, 197–217,
https://doi.org/10.1108/00214660880001226, 2008. a, b, c
Smith, A. B. and Matthews, J. L.: Quantifying uncertainty and variable sensitivity within the US billion-dollar weather and climate disaster cost estimates, Nat. Hazards, 77, 1829–1851, https://doi.org/10.1007/s11069-015-1678-x, 2015. a
Tilloy, A., Malamud, B. D., Winter, H., and Joly-Laugel, A.: A review of quantification methodologies for multi-hazard interrelationships, Earth-Sci. Rev., 196, 102881, https://doi.org/10.1016/J.EARSCIREV.2019.102881, 2019. a, b
Turvey, C., Shee, A., and Marr, A.: Addressing fractional dimensionality in the application of weather index insurance and climate risk financing in agricultural development: A dynamic triggering approach, Weather Clim. Soci., 11, 901–915, https://doi.org/10.1175/WCAS-D-19-0014.1, 2019. a, b
UNDRR: 2009 unisdr terminology on disaster risk reduction, https://www.unisdr.org/files/7817_UNISDRTerminologyEnglish.pdf (last access: 8 March 2023), 2009. a
UNEP FI: Principles for sustainable insurance, UN Environment Programme Finance Initiative, Geneva, Switzerland, https://www.unepfi.org/insurance/insurance/ (last access: 8 March 2023), 2012. a
Van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Climatic Change, 109, 5–31, 2011. a
Vroege, W., Bucheli, J., Dalhaus, T., Hirschi, M., and Finger, R.: Insuring crops from space: the potential of satellite-retrieved soil moisture to reduce farmers' drought risk exposure, Eur. Rev. Agric. Econ., 48, 266–314, https://doi.org/10.1093/erae/jbab010, 2021.
a, b, c
Wang, S. S.: A Universal Framework for Pricing Financial and Insurance Risks, ASTIN Bull., 32, 213–234, https://doi.org/10.2143/AST.32.2.1027, 2002. a
Yoshida, K., Srisutham, M., Sritumboon, S., Suanburi, D., Janjirauttikul, N., and Suanpaga, W.: Evaluation of economic damages on rice production under extreme climate and agricultural insurance for adaptation measures in Northeast Thailand, Engineering Journal, 23, 451–460, https://doi.org/10.4186/ej.2019.23.6.451, 2019. a
Zara, C.: Weather derivatives in the wine industry, International Journal of Wine Business Research, 22, 222–237, https://doi.org/10.1108/17511061011075365, 2010. a
Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., Raymond, C., Horton, R. M., van den Hurk, B., AghaKouchak, A., Jézéquel, A., Mahecha, M. D., Maraun, D., Ramos, A. M., Ridder, N. N., Thiery, W., and Vignotto, E.: A typology of compound weather and climate events, Nature Reviews Earth & Environment, 1, 333–347, 2020. a, b
Short summary
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.
This article is about how farmers can better protect themselves from disasters like droughts,...
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