Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

Kreibich, H.; Schröter, K.; Di Baldassarre, G.; Van Loon, A.F.; Mazzoleni, M.; Abeshu, G.W.; Agafonova, S.; AghaKouchak, A.; Aksoy, H.; Alvarez-Garreton, C.; Aznar, B.; Balkhi, L.; Barendrecht, M.H.; Biancamaria, S.; Bos-Burgering, L.; Bradley, C.; Budiyono, Y.; Buytaert, W.; Capewell, L.; Carlson, H.; Cavus, Y.; Couasnon, A.; Coxon, G.; Daliakopoulos, I.; de Ruiter, M.C.; Delus, C.; Erfurt, M.; Esposito, G.; François, D.; Frappart, F.; Freer, J.; Frolova, N.; Gain, A.K.; Grillakis, M.; Grima, J.O.; Guzmán, D.A.; Huning, L.S.; Ionita, M.; Kharlamov, M.; Khoi, D.N.; Kieboom, N.; Kireeva, M.; Koutroulis, A.; Lavado-Casimiro, W.; Li Hong-Yi; LLasat, M.C.; Macdonald, D.; Mård, J.; Mathew-Richards, H.; McKenzie, A.; Mejia, A.; Mendiondo, E.M.; Mens, M.; Mobini, S.; Mohor, G.S.; Nagavciuc, V.; Ngo-Duc, T.; Thao Nguyen, H.T.; Thao Nhi, P.T.; Petrucci, O.; Quan, N.H.; Quintana-Seguí, P.; Razavi, S.; Ridolfi, E.; Riegel, J.; Sadik, M.S.; Sairam, N.; Savelli, E.; Sazonov, A.; Sharma, S.; Sörensen, J.; Arguello Souza, F.A.; Stahl, K.; Steinhausen, M.; Stoelzle, M.; Szalińska, W.; Tang, Q.; Tian, F.; Tokarczyk, T.; Tovar, C.; Tran, T.V.; van Huijgevoort Marjolein, H.J.; van Vliet Michelle, T.H.; Vorogushyn, S.; Wagener, T.; Wang, Y.; Wendt, D.E.; Wickham, E.; Yang, L.; Zambrano-Bigiarini, M.; Ward, P.J.

Авторы: Kreibich Heidi, Schröter Kai, Di Baldassarre Giuliano, Van Loon Anne F., Mazzoleni Maurizio, Abeshu Guta Wakbulcho, Agafonova Svetlana, AghaKouchak Amir, Aksoy Hafzullah, Alvarez-Garreton Camila, Aznar Blanca, Balkhi Laila, Barendrecht Marlies H., Biancamaria Sylvain, Bos-Burgering Liduin, Bradley Chris, Budiyono Yus, Buytaert Wouter, Capewell Lucinda, Carlson Hayley, Cavus Yonca, Couasnon Anaïs, Coxon Gemma, Daliakopoulos Ioannis, de Ruiter Marleen C., Delus Claire, Erfurt Mathilde, Esposito Giuseppe, François Didier, Frappart Frédéric, Freer Jim, Frolova Natalia, Gain Animesh K., Grillakis Manolis, Grima Jordi Oriol, Guzmán Diego A., Huning Laurie S., Ionita Monica, Kharlamov Maxim, Khoi Dao Nguyen, Kieboom Natalie, Kireeva Maria, Koutroulis Aristeidis, Lavado-Casimiro Waldo, Li Hong-Yi, LLasat Maria Carmen, Macdonald David, Mård Johanna, Mathew-Richards Hannah, McKenzie Andrew, Mejia Alfonso, Mendiondo Eduardo Mario, Mens Marjolein, Mobini Shifteh, Mohor Guilherme Samprogna, Nagavciuc Viorica, Ngo-Duc Thanh, Thao Nguyen Huynh Thi, Thao Nhi Pham Thi, Petrucci Olga, Quan Nguyen Hong, Quintana-Seguí Pere, Razavi Saman, Ridolfi Elena, Riegel Jannik, Sadik Md Shibly, Sairam Nivedita, Savelli Elisa, Sazonov Alexey, Sharma Sanjib, Sörensen Johanna, Arguello Souza Felipe Augusto, Stahl Kerstin, Steinhausen Max, Stoelzle Michael, Szalińska Wiwiana, Tang Qiuhong, Tian Fuqiang, Tokarczyk Tamara, Tovar Carolina, Tran Thi Van Thu, van Huijgevoort Marjolein H.J, van Vliet Michelle T.H, Vorogushyn Sergiy, Wagener Thorsten, Wang Yueling, Wendt Doris E., Wickham Elliot, Yang Long, Zambrano-Bigiarini Mauricio, Ward Philip J.
Журнал: Earth System Science Data
Том: 15
Год издания: 2023
Первая страница: 2009
Последняя страница: 2023
DOI: 10.5194/essd-15-2009-2023
Аннотация: Damage due to hydrological extremes increase in many regions of the world. A better understanding of the drivers of increasing damage trends is essential for effective flood and drought risk management. However, empirical data is lacking about the processes in complex human-water systems that result in flood and drought damage. We present a benchmark dataset containing socio-hydrological data of paired events, i.e., two floods or two droughts that occurred in the same area. The 45 paired events cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed, and in the quantity of qualitative and quantitative socio-hydrological data. The core of the benchmark dataset comprises: 1) detailed review style reports about the events and key processes and changes between the two events of a pair; 2) an overview table of key data about management, hazard, exposure, vulnerability and impacts of all events; 3) a table of indicators of change between first and second event of each pair. The advantages of the dataset are that it enables comparative analyses across all the paired events and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. A first analysis of the dataset revealed the general pattern that risk management normally reduces the impacts of floods and droughts, but faces difficulties in reducing the impacts of unprecedented events of a magnitude not experienced before (Kreibich et al. 2022a). The dataset can be used by the scientific community for exploratory data analyses and for the development of socio-hydrological models. As such, the dataset can support solving one of the twenty-three unsolved problems in hydrology (Blöschl et al. 2019), namely “How can we extract information from available data on human and water systems in order to inform the building process of socio-hydrological models and conceptualisations?”. The dataset is available to the public through the GFZ Data Services (Kreibich et al. 2022b).
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Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughtsстатья

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