Future scenarios for earthquake and flood risk in Eastern Europe and Central Asia

Rick Murnane, James E. Daniell, A.M. Schafer, P.J. Ward, H.C. Winsemius, A. Simpson, A. Tijssen, Joaquin Toro

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Abstract

We report on a regional flood and earthquake risk assessment for 33 countries in Eastern Europe and Central Asia. Flood and earthquake risk were defined in terms of affected population and affected gross domestic product (GDP). Earthquake risk was also quantified in terms of fatalities and capital loss. Estimates of future population and GDP affected by earthquakes vary significantly among five shared socioeconomic pathways that are used to represent population and GDP in 2030 and 2080. There is a linear relationship between the future relative change in a nation's exposure (population or GDP) and its future relative change in annual average population or GDP affected by earthquakes. The evolution of flood hazard was quantified using a flood model with boundary conditions derived from five different general circulation models and two representative concentration pathways, and changes in population and GDP were quantified using two shared socioeconomic pathways. There is a nonlinear relationship between the future relative change in a nation's exposure (population or GDP) and its future relative change in its annual average population or GDP affected by floods. Six regions can be defined for positive and negative relative change in population that designate whether climate change can temper, counter, or reinforce relative changes in flood risk produced by changes in population or exposure. The departure from the one-to-one relationship between a relative change in a nation's population or GDP and its relative change in flood risk could be used to inform further efforts at flood mitigation and adaptation.
Original languageEnglish
Pages (from-to)693-714
Number of pages22
JournalEarth's Future
Volume5
Issue number7
DOIs
Publication statusPublished - 2017

Funding

This work was made possible through the support of the Global Facility for Disaster Reduction and Recovery at the World Bank. Data and code used to generate the figures can be found at https://app.box.com/s/mpnjlyvkzicvu6v97p8of1z839wbu3hn. The earthquake code for this study is not open source. Availability options can be discussed by contacting JED. An updated, open-source version of the flood model, PCRGLOB-WB (backbone of GLOFRIS), is available at https://github.com/UU-Hydro/PCR-GLOBWB_model. However, this is not the version used for this study. The old code is not available as open source. Contact HW for more information on the code's availability. We would like to thank S. Fraser for valuable comments as well as J. C. Gill and an anonymous reviewer whose comments significantly improved the manuscript. JED and HW received funding for the work from GFDRR/World Bank. PJW received additional funding from the Netherlands Organisation for Scientific Research (NWO) via VIDI grant 016.161.324.

FundersFunder number
GFDRR/World Bank
World Bank Group
Nederlandse Organisatie voor Wetenschappelijk Onderzoek016.161.324

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