Global-scale river flood vulnerability in the last 50 years

The impacts of flooding are expected to rise due to population increases, economic growth and climate change. Hence, understanding the physical and spatiotemporal characteristics of risk drivers (hazard, exposure and vulnerability) is required to develop effective flood mitigation measures. Here, the long-term trend in flood vulnerability was analysed globally, calculated from the ratio of the reported flood loss or damage to the modelled flood exposure using a global river and inundation model. A previous study showed decreasing global flood vulnerability over a shorter period using different disaster data. The long-term analysis demonstrated for the first time that flood vulnerability to economic losses in upper-middle, lower-middle and low-income countries shows an inverted U-shape, as a result of the balance between economic growth and various historical socioeconomic efforts to reduce damage, leading to non-significant upward or downward trends. We also show that the flood-exposed population is affected by historical changes in population distribution, with changes in flood vulnerability of up to 48.9%. Both increasing and decreasing trends in flood vulnerability were observed in different countries, implying that population growth scenarios considering spatial distribution changes could affect flood risk projections.

[1]  Günter Blöschl,et al.  Flood fatalities in Africa: From diagnosis to mitigation , 2010 .

[2]  Sujan Koirala,et al.  Global‐scale land surface hydrologic modeling with the representation of water table dynamics , 2014 .

[3]  W. Ligtvoet,et al.  On the relation between weather-related disaster impacts, vulnerability and climate change , 2014, Climatic Change.

[4]  Brenden Jongman,et al.  Assessing flood risk at the global scale: model setup, results, and sensitivity , 2013 .

[5]  J. Hinkel “Indicators of vulnerability and adaptive capacity”: Towards a clarification of the science–policy interface , 2011 .

[6]  S. Hagemann,et al.  Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment , 2013, Proceedings of the National Academy of Sciences.

[7]  S. Kanae,et al.  A physically based description of floodplain inundation dynamics in a global river routing model , 2011 .

[8]  C. Field Managing the risks of extreme events and disasters to advance climate change adaption , 2012 .

[9]  S. Kanae,et al.  Modeling complex flow dynamics of fluvial floods exacerbated by sea level rise in the Ganges–Brahmaputra–Meghna Delta , 2015 .

[10]  D. Kellenberg,et al.  Does rising income increase or decrease damage risk from natural disasters , 2008 .

[11]  Debarati Guha-Sapir,et al.  Measuring the Human and Economic Impact of Disasters , 2012 .

[12]  Joshua R. Smith,et al.  Estimating monetary damages from flooding in the United States under a changing climate , 2014 .

[13]  C. Murray,et al.  Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015 , 2012, Population Health Metrics.

[14]  M. Kummu,et al.  Strong influence of El Niño Southern Oscillation on flood risk around the world , 2014, Proceedings of the National Academy of Sciences.

[15]  Günter Blöschl,et al.  Socio-hydrology: conceptualising human-flood interactions , 2013 .

[16]  Reinhard Mechler,et al.  Understanding trends and projections of disaster losses and climate change: is vulnerability the missing link? , 2015, Climatic Change.

[17]  Kumiko Takata,et al.  Development of the minimal advanced treatments of surface interaction and runoff , 2003 .

[18]  Sucharit Koontanakulvong,et al.  Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging , 2015, Paddy and Water Environment.

[19]  S. Doocy,et al.  The Human Impact of Tsunamis: a Historical Review of Events 1900-2009 and Systematic Literature Review , 2013, PLoS currents.

[20]  Kees Klein Goldewijk,et al.  Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1 , 2010 .

[21]  B. Anderson,et al.  The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones , 2007 .

[22]  D. Vuuren,et al.  Global drivers of future river flood risk , 2016 .

[23]  J. Aerts,et al.  Global exposure to river and coastal flooding - long term trends and changes , 2012 .

[24]  Felipe J. Colón-González,et al.  Multimodel assessment of water scarcity under climate change , 2013, Proceedings of the National Academy of Sciences.

[25]  Dai Yamazaki,et al.  The credibility challenge for global fluvial flood risk analysis , 2016, Environmental Research Letters.

[26]  R. Betts,et al.  Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP , 2013 .

[27]  G. Blöschl,et al.  Debates—Perspectives on socio‐hydrology: Capturing feedbacks between physical and social processes , 2015 .

[28]  N. Arnell,et al.  The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios , 2013, Climatic Change.

[29]  Stefan Hochrainer-Stigler,et al.  Increasing stress on disaster-risk finance due to large floods , 2014 .

[30]  Christopher B. Field,et al.  Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: List of Major IPCC Reports , 2012 .

[31]  S. Kanae,et al.  Global flood risk under climate change , 2013 .

[32]  Jidong Wu,et al.  Socioeconomic development and the impact of natural disasters: some empirical evidences from China , 2014, Natural Hazards.

[33]  Wolfgang Kron,et al.  Flood Risk = Hazard • Values • Vulnerability , 2005 .

[34]  J. Aerts,et al.  Declining vulnerability to river floods and the global benefits of adaptation , 2015, Proceedings of the National Academy of Sciences.

[35]  Kees Klein Goldewijk,et al.  The HYDE 3.1 spatially explicit database of human‐induced global land‐use change over the past 12,000 years , 2011 .

[36]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[37]  M. Pelling,et al.  Determinants of risk: Exposure and vulnerability , 2012 .

[38]  Evan Mills,et al.  Insurance in a Climate of Change , 2005, Science.

[39]  Paul D. Bates,et al.  Adjustment of a spaceborne DEM for use in floodplain hydrodynamic modeling , 2012 .

[40]  S. Doocy,et al.  The Human Impact of Floods: a Historical Review of Events 1980-2009 and Systematic Literature Review , 2013, PLoS currents.