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CLIMRISK-RIVER
- Source :
- Ignjacevic, P, Botzen, W J W, Estrada, F, Kuik, O, Ward, P & Tiggeloven, T 2020, ' CLIMRISK-RIVER : Accounting for local river flood risk in estimating the economic cost of climate change ', Environmental Modelling & Software, vol. 132, 104784, pp. 1-28 . https://doi.org/10.1016/j.envsoft.2020.104784, Environmental Modelling and Software, 132. Elsevier BV, Environmental Modelling & Software, 132:104784, 1-28. Elsevier BV
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- This study aims to improve the estimates of the economic impacts of climate change by developing a river flood risk model CLIMRISK-RIVER and introducing it into an existing climate-economy integrated assessment model (IAM). It operates on a local scale and can project climate change-related river flood damage for various socioeconomic, climate and flood adaptation scenarios. Whereas other IAMs have relied on temperature as a climate change proxy, we show that precipitation is a key variable in projecting river flood damage. The way adaptation is accounted for in our flood damage functions has a large influence on the results, highlighting the relevance of modelling local level adaptation in IAMs. Results presented at different spatial scales demonstrate the relevance of river flood damage functions for estimating the economic impacts of climate change and allows for exploration of the spatial distribution of impacts through local estimates.
- Subjects :
- Environmental Engineering
010504 meteorology & atmospheric sciences
River flood
0208 environmental biotechnology
Climate change
02 engineering and technology
B Journal
01 natural sciences
Proxy (climate)
River flood risk
Risk model
Economic cost
SDG 13 - Climate Action
River flood adaptation
Integrated assessment modelling
0105 earth and related environmental sciences
Flood myth
business.industry
Ecological Modeling
Environmental resource management
020801 environmental engineering
Economic impacts of climate change
Environmental science
business
Software
Subjects
Details
- Language :
- English
- ISSN :
- 13648152
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- Environmental Modelling & Software
- Accession number :
- edsair.doi.dedup.....51210efb57235d1246ce1b785d777ce5