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

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. (2022): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts.
https://doi.org/10.5880/GFZ.4.4.2022.002

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Kreibich, H.1, Autor              
Schröter, Kai1, Autor              
Di Baldassarre, Giuliano2, Autor
Van Loon, Anne2, Autor
Mazzoleni, Maurizio2, Autor
Abeshu, Guta Wakbulcho2, Autor
Agafonova, Svetlana2, Autor
AghaKouchak, Amir2, Autor
Aksoy, Hafzullah2, Autor
Alvarez-Garreton, Camila2, Autor
Aznar, Blanca2, Autor
Balkhi, Laila2, Autor
Barendrecht, Marlies H.2, Autor
Biancamaria, Sylvain2, Autor
Bos-Burgering, Liduin2, Autor
Bradley, Chris2, Autor
Budiyono, Yus2, Autor
Buytaert, Wouter2, Autor
Capewell, Lucinda2, Autor
Carlson, Hayley2, Autor
Cavus, Yonca2, AutorCouasnon, Anaïs2, AutorCoxon, Gemma2, AutorDaliakopoulos, Ioannis2, Autorde Ruiter, Marleen C.2, AutorDelus, Claire2, AutorErfurt, Mathilde2, AutorEsposito, Giuseppe2, AutorFrançois, Didier2, AutorFrappart, Frédéric2, AutorFreer, Jim2, AutorFrolova, Natalia2, AutorGain, Animesh K2, AutorGrillakis, Manolis2, AutorGrima, JordiOriol2, AutorGuzmán, Diego A.2, AutorHuning, Laurie S.2, AutorIonita, Monica2, AutorKharlamov, Maxim2, AutorKhoi, Dao Nguyen2, AutorKieboom, Natalie2, AutorKireeva, Maria2, AutorKoutroulis, Aristeidis2, AutorLavado-Casimiro, Waldo2, AutorLi, Hongyi2, AutorLLasat, Maria Carmen2, AutorMacdonald, David2, AutorMård, Johanna2, AutorMathew-Richards, Hannah2, AutorMcKenzie, Andrew2, AutorMejia, Alfonso2, AutorMendiondo, Eduardo Mario2, AutorMens, Marjolein2, AutorMobini, Shifteh2, AutorMohor, Guilherme Samprogna2, AutorNagavciuc, Viorica2, AutorNgo-Duc, Thanh2, AutorNguyen, Huynh Thi Thao2, AutorNhi, Pham Thi Thao2, AutorPetrucci, Olga2, AutorQuan, Nguyen Hong2, AutorQuintana-Seguí, Pere2, AutorRazavi, Saman2, AutorRidolfi, Elena2, AutorRiegel, Jannik2, AutorSadik, Md Shibly2, AutorSairam, Nivedita2, AutorSavelli, Elisa2, AutorSazonov, Alexey2, AutorSharma, Sanjib2, AutorSörensen, Johanna2, AutorSouza, Felipe Augusto Arguello2, AutorStahl, Kerstin2, AutorSteinhausen, Max1, Autor              Stoelzle, Michael2, AutorSzalińska, Wiwiana2, AutorTang, Qiuhong2, AutorTian, Fuqiang2, AutorTokarczyk, Tamara2, AutorTovar, Carolina2, AutorTran, Thi Van Thu2, Autorvan Huijgevoort, Marjolein H.J.2, Autorvan Vliet, Michelle T.H.2, AutorVorogushyn, Sergiy2, AutorWagener, Thorsten2, AutorWang, Yueling2, AutorWendt, Doris E.2, AutorWickham, Elliot2, AutorYang, Long2, AutorZambrano-Bigiarini, Mauricio2, AutorWard, Philip J.2, Autor mehr..
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2External Organizations, ou_persistent22              

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Schlagwörter: hydrological extremes, risk dynamics, human-flood system, human-drought system, socio-hydrology, risk management, flood, drought, environmental assessment > environmental risk assessment
 Zusammenfassung: As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2022-002_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.

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Sprache(n): eng - Englisch
 Datum: 20222022
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: Potsdam : GFZ Data Services
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5880/GFZ.4.4.2022.002
GFZPOF: p4 T5 Future Landscapes
 Art des Abschluß: -

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