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Assessment of drought damages and their uncertainties in Europe

Bibliographic Data

ID15546459
AuthorsGustavo Naumann (0000-0002-8767-5099, Universidad de Buenos Aires, corresponding author), Jonathan Spinoni (0000-0002-8903-085X, Joint Research Centre), J Vogt (0000-0003-0739-8261, Joint Research Centre), Jürgen V Vogt, Paulo Barbosa (0000-0003-3023-3502, Joint Research Centre)
Year2015
Volume10
Issue12
Pages124013-124013
Publication date2015-12-01
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/10/12/124013
OpenAlexW2284845719
LanguageEN
Citations received6
References cited32

Drought is a natural hazard triggered by a lack of precipitation that can last for several months or years. Droughts can affect a wide range of socio-economic sectors while the related direct and indirect impacts are often difficult to quantify. In this context, drought damage refers to the total or partial destruction of physical assets in the affected area. The main constraint in constructing a robust relationship between the severity of drought events and related damages is the lack of sufficient quantitative impact data. In this paper we propose the use of power-law damage functions to assess the relationship between drought severity and related damages in two economic sectors, namely cereal crop production and hydropower generation, across 21 European countries. The different shapes of the resulting damage functions can be explained by the specific drought vulnerability or adaptive capacity of each sector and country. Due to the scarcity of impact data linked to extreme climate events a bootstrap resampling was performed to assess the potential uncertainties associated with the sample size. This approach helps communicating potential drought impacts and related uncertainties to end users and policy makers in support to the development of drought management plans and long-term adaptation measures

Climate change · Constraint (computer-aided design · Context (archaeology · Damages · Economic impact analysis · Economics · Environmental planning · Environmental resource management · Geography · Hydropower · Impact assessment · Natural hazard · Natural resource economics · Scarcity · Vulnerability (computing · Climate change impacts on agriculture · Climate variability and models · Computer Science · Environmental Science · Hydrology and Drought Analysis · Ecology

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Citations per year0.75
Citation span2018 - 2024 (7)
Highly citedNo

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