EGU23-4932
https://doi.org/10.5194/egusphere-egu23-4932
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Heidi Kreibich1 and the Flood and drought paired event community*
Heidi Kreibich and the Flood and drought paired event community
  • 1German Research Centre for Geosciences GFZ, Section Hydrology, Potsdam, Germany (heidi.kreibich@gfz-potsdam.de)
  • *A full list of authors appears at the end of the abstract

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).

 

References

Blöschl, G., Bierkens, M. F., Chambel, A., et al. (2019): Twenty-three unsolved problems in hydrology (UPH) – a community perspective. - Hydrological Sciences Journal - Journal des Sciences Hydrologiques, 64, 10, 1141-1158. https://doi.org/10.1080/02626667.2019.1620507

Kreibich, H., Loon, A. F. V., Schröter, K., et al. (2022a): The challenge of unprecedented floods and droughts in risk management. - Nature, 608, 80-86. https://doi.org/10.1038/s41586-022-04917-5

Kreibich, H., Schröter, K., Di Baldassarre, G., et al. (2022b): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. https://doi.org/10.5880/GFZ.4.4.2022.002

Flood and drought paired event community:

Kreibich, H., Schröter, K., Di Baldassarre, G., Van Loon, A., 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., Guzmán, D. A., Huning, L. S., Ionita, M., Kharlamov, M., Khoi, D. N., Kieboom, N., Kireeva, M., Koutroulis, A., Lavado-Casimiro, W., Li, H., 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., Nguyen, H. T. T., Nhi, P. T. 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., Souza, F. A. A., Stahl, K., Steinhausen, M., Stoelzle, M., Szalińska, W., Tang, Q., Tian, F., Tokarczyk, T., Tovar, C., Tran, T. V. T., van Huijgevoort, M. H., van Vliet, M. T., Vorogushyn, S., Wagener, T., Wang, Y., Wendt, D. E., Wickham, E., Yang, L., Zambrano-Bigiarini, M., Ward, P. J.

How to cite: Kreibich, H. and the Flood and drought paired event community: Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4932, https://doi.org/10.5194/egusphere-egu23-4932, 2023.

Supplementary materials

Supplementary material file