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

Cite as:

Kreibich, Heidi; Schröter, Kai; Di Baldassarre, Giuliano; Van Loon, Anne; 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, JordiOriol; Guzmán, Diego A.; Huning, Laurie S.; Ionita, Monica; Kharlamov, Maxim; Khoi, Dao Nguyen; Kieboom, Natalie; Kireeva, Maria; Koutroulis, Aristeidis; Lavado-Casimiro, Waldo; Li, Hongyi; 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; Nguyen, Huynh Thi Thao; Nhi, Pham Thi Thao; 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; Souza, Felipe Augusto Arguello; 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. (2022): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2022.002

Status

I N R E V I E W : Kreibich, Heidi; Schröter, Kai; Di Baldassarre, Giuliano; Van Loon, Anne; 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, JordiOriol; Guzmán, Diego A.; Huning, Laurie S.; Ionita, Monica; Kharlamov, Maxim; Khoi, Dao Nguyen; Kieboom, Natalie; Kireeva, Maria; Koutroulis, Aristeidis; Lavado-Casimiro, Waldo; Li, Hongyi; 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; Nguyen, Huynh Thi Thao; Nhi, Pham Thi Thao; 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; Souza, Felipe Augusto Arguello; 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. (2022): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2022.002

Abstract

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.

Contact

Kreibich, Heidi (Head of WG Flood risk and climate adaptation); GFZ German Research Centre for Geosciences; ➦

Keywords

hydrological extremes, risk dynamics, human-flood system, human-drought system, socio-hydrology, risk management, flood, drought, environmental assessment > environmental risk assessment

GCMD Science Keywords

More Metadata

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      - affiliation: Leichtweiss Institute for Hydraulic Engineering and Water Resources, Division of Hydrology and River basin management, Technische Universität Braunschweig, Braunschweig, Germany
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      - affiliation: Department of Earth Sciences, Uppsala University, Sweden
      - affiliation: Department of Integrated Water Systems and Governance, IHE Delft, The Netherlands
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      - creatorName (nameType=Personal): Alvarez-Garreton, Camila
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      - affiliation: Department of Civil Engineering, Universidad de La Frontera, Temuco, Chile
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      - affiliation: Operations Department, Barcelona Cicle de l'Aigua S.A, Barcelona, Spain
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      - creatorName (nameType=Personal): Balkhi, Laila
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      - affiliation: Department of Groundwater Management, Deltares, The Netherlands
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      - affiliation: Graduate School, Istanbul Technical University, Istanbul, Turkey
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      - affiliation: Cabot Institute, University of Bristol, UK
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      - affiliation: Cabot Institute, University of Bristol, UK
      - affiliation: University of Saskatchewan, Centre for Hydrology, Canmore, Alberta, Canada
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      - affiliation: Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Paleoclimate Dynamics Group, Bremerhaven, Germany
      - affiliation: Emil Racovita Institute of Speleology, Romanian Academy, Cluj-Napoca, Romania
      - affiliation: Forest Biometrics Laboratory, Faculty of Forestry, Ștefan cel Mare University, Suceava, Romania
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      - affiliation: Water Problem Institute Russian Academy of Science, Moscow, Russia
      - affiliation: Lomonosov Moscow State University, Russia
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      - affiliation: Institute for Environment and Resources, Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam
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      - affiliation: Water Research Institute, University of Barcelona, Barcelona, Spain
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      - affiliation: Department of Earth Sciences, Uppsala University, Sweden
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      - affiliation: British Geological Survey, Wallingford, UK
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      - affiliation: Trelleborg municipality, Sweden
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      - affiliation: University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany
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      - affiliation: Forest Biometrics Laboratory, Faculty of Forestry, Ștefan cel Mare University, Suceava, Romania
      - affiliation: Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Paleoclimate Dynamics Group, Bremerhaven, Germany
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      - affiliation: Faculty of Environment, University of Science, Ho Chi Minh City, Vietnam
      - affiliation: Institute for Environment and Resources, Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam
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      - creatorName (nameType=Personal): Petrucci, Olga
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      - affiliation: CNR-IRPI, Research Institute for Geo-Hydrological Protection, Perugia, Italy
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      - affiliation: Institute for Environment and Resources, Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam
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      - affiliation: Observatori de l'Ebre (OE), Ramon Llull University – CSIC, Spain
    - creator
      - creatorName (nameType=Personal): Razavi, Saman
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  - publicationYear: 2022
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    - subject: risk dynamics
    - subject: human-flood system
    - subject: human-drought system
    - subject: socio-hydrology
    - subject: risk management
    - subject: flood
    - subject: drought
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    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > DROUGHTS
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION
    - subject (subjectScheme=GEMET - INSPIRE themes, version 1.0): environmental assessment > environmental risk assessment
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