Articles | Volume 24, issue 6
https://doi.org/10.5194/nhess-24-2165-2024
© Author(s) 2024. 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-24-2165-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Lessons learned and experiences gained from building up a global survey on societal resilience to changing droughts
Marina Batalini de Macedo
CORRESPONDING AUTHOR
Institute of Natural Resources, Federal University of Itajubá, Itajubá, Brazil
Marcos Roberto Benso
São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil
Karina Simone Sass
School of Public Health, University of São Paulo, São Paulo, Brazil
Eduardo Mario Mendiondo
São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil
Greicelene Jesus da Silva
São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil
Pedro Gustavo Câmara da Silva
São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil
Elisabeth Shrimpton
School of Water, Energy and Environment, Cranfield University, Wharley End, UK
Tanaya Sarmah
School of Water, Energy and Environment, Cranfield University, Wharley End, UK
Da Huo
School of Water, Energy and Environment, Cranfield University, Wharley End, UK
Michael Jacobson
Department of Ecosystem Science and Management, The Pennsylvania State University, State College, PA, USA
Abdullah Konak
College of Information Sciences and Technology, The Pennsylvania State University, State College, Berks, PA, USA
Nazmiye Balta-Ozkan
School of Water, Energy and Environment, Cranfield University, Wharley End, UK
Adelaide Cassia Nardocci
School of Public Health, University of São Paulo, São Paulo, Brazil
Related authors
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
Short summary
Short summary
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.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Chiquito Gesualdo, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, José Antonio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 25, 1387–1404, https://doi.org/10.5194/nhess-25-1387-2025, https://doi.org/10.5194/nhess-25-1387-2025, 2025
Short summary
Short summary
This study applies climate extreme indices to assess climate risks to food security. Using an explainable machine learning analysis, key climate indices affecting maize and soybean yields in Brazil were identified. Results reveal the temporal sensitivity of these indices and critical yield loss thresholds, informing policy and adaptation strategies.
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
Short summary
Short summary
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
Short summary
Short summary
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.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
Short summary
Short summary
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
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
Short summary
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.
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
Short summary
Short summary
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.
Cited articles
Alshehri, S. A., Rezgui, Y., and Li, H: Delphi-based consensus study into a framework of community resilience to disaster, Nat. Hazards, 75, 2221–2245, https://doi.org/10.1007/s11069-014-1423-x, 2015.
Bachmair, S., Stahl, K., Collins, K., Hannaford, J., Acreman, M., Svoboda, M., Knutson, C., Smith, K. H., Wall, N., Fuchs, B., Crossman, N. D., and Overton, I. C: Drought indicators revisited: the need for a wider consideration of environment and society, Wiley Interdisciplinary Reviews Water, 3, 516–536, https://doi.org/10.1002/wat2.1154, 2016.
Baker, E., Bosetti, V., Jenni, K. E., and Ricci, E. C.: Facing the experts: Survey mode and expert elicitation, FEEM Working Paper No. 1, https://doi.org/10.2139/ssrn.2384487, 2014.
Blauhut, V.: The triple complexity of drought risk analysis and its visualisation via mapping: a review across scales and sectors, Earth-Sci. Rev., 210, 103345, https://doi.org/10.1016/j.earscirev.2020.103345, 2020.
Crispim, D. L., Progênio, M. F., and Fernandes, L. L: Proposal for a tool for assessing access to water in rural communities: a case study in the brazilian semi-arid, Environ. Manage., 69, 529–542, https://doi.org/10.1007/s00267-022-01600-3, 2022.
Elangovan, N. and Sundaravel, E.: Method of preparing a document for survey instrument validation by experts, MethodsX, 8, 101326, https://doi.org/10.1016/j.mex.2021.101326, 2021.
Hai, L. T., Gobin, A., and Hens, L.: Select indicators and prioritize solutions for desertification and drought in Binh Thuan, Vietnam, Chi. J. Pop. Res. Env., 14, 123–132, https://doi.org/10.1080/10042857.2016.1177315, 2016.
Harzing, A. W., Reiche, B. S., and Pudelko, M.: Challenges in international survey research: A review with illustrations and suggested solutions for best practice, E. J. Int. Manag., 7, 112–134, https://doi.org/10.1504/EJIM.2013.052090, 2013.
Hasson, F., Keeney, S., and McKenna, H.: Research guidelines for the Delphi survey technique, J. Adv. Nurs., 32, 1008–1015, https://doi.org/10.1046/j.1365-2648.2000.t01-1-01567.x, 2000.
Lowder, S. K., Sánchez, M. V, and Bertini, R.: Which farms feed the world and has farmland become more concentrated?, World Dev., 142, 105455, https://doi.org/10.1016/j.worlddev.2021.105455, 2021.
Merz, B., Aerts, J., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A., Blöschl, G., Bouwer, L. M., Brauer, A., Cioffi, F., Delgado, J. M., Gocht, M., Guzzetti, F., Harrigan, S., Hirschboeck, K., Kilsby, C., Kron, W., Kwon, H.-H., Lall, U., Merz, R., Nissen, K., Salvatti, P., Swierczynski, T., Ulbrich, U., Viglione, A., Ward, P. J., Weiler, M., Wilhelm, B., and Nied, M.: Floods and climate: emerging perspectives for flood risk assessment and management, Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, 2014.
Meza, I., Hagenlocher, M., Naumann, G., and Frischen, J.: Drought vulnerability indicators for global-scale drought risk assessments, JRC Technical Reports, Publications Office of the European Union, https://doi.org/10.2760/73844, 2019.
Morton, J. F.: The impact of climate change on smallholder and subsistence agriculture, P. Natl. Acad. Sci. USA, 104, 19680–19685, https://doi.org/10.1073/pnas.0701855104, 2007.
Mukherjee, N., Zabala, A., Huge, J., Nyumba, T. O., Esmail, B. A., and Sutherland, W. J.: Comparison of techniques for eliciting views and judgments in decision-making, Methods Ecol. Evol., 9, 54–63, https://doi.org/10.1111/2041-210X.12940, 2018.
Ogah, A., Crosbie, T., and Ralebitso-Senior, T. K. Operationalising Community Resilience to Climate Change in Developing Countries: A Grounded Delphi Method (GDM) Approach, Research Square [preprint], https://doi.org/10.21203/rs.3.rs-844800/v1, 2021.
ProductLab: Global Surveys: Challenges, Considerations, and Tips for Success, https://app.productlab.ai/blog/global-surveys-challenges-considerations/#:~:text=Nevertheless%2C%20there%20are%20three%20major,cultural%20differences%2C%20and%20data%20accuracy, last access: 16 May 2024. 2023.
Rastandeh, A., Pedersen Zari, M., and Brown, D. K.: Components of landscape pattern and urban biodiversity in an era of climate change: a global survey of expert knowledge, Urb. Ecos., 21, 903–920, https://doi.org/10.1007/s11252-018-0777-3, 2018.
Sass, K. S., Konak, A. K., Macedo, M. B., Benso, M. R., Nardocci, A. C., Shrimpton, E., Ozkan-Balta, N., Sarmah, T., Mendiondo, E. M., Silva, G, J., Silva, P. G. C., and Jacobson, M. G.: Enhancing Drought Resilience and Vulnerability Assessment in Small Farms: A Global Expert Survey on Multidimensional Indicators, SSRN [preprint], https://doi.org/10.2139/ssrn.4547491, 2023.
Sweya, L. N., Wilkinson, S., and Kassenga, G.: A social resilience measurement tool for Tanzania’s water supply systems, Int. J. Disast. Risk Re., 65, 102558, https://doi.org/10.1016/j.ijdrr.2021.102558, 2021.
UNDRR (United Nations Office for Disaster Risk Reduction): Sendai Framework for Disaster Risk Reduction 2015–2030, https://www.undrr.org/publication/sendai-framework-disaster -risk-reduction-2015-2030 (last access: 18 June 2024), 2015.
WMO and GWP: Handbook of Drought Indicators and Indices, https://www.droughtmanagement.info/literature/GWP_Handbook_of_Drought_Indicators_and_Indices_2016.pdf (last accesss: 16 May 2024), 2016.
Short summary
With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
With climate change, societies increasingly need to adapt to deal with more severe droughts and...
Altmetrics
Final-revised paper
Preprint