Nature Communications (Apr 2019)

New estimates of flood exposure in developing countries using high-resolution population data

  • Andrew Smith,
  • Paul D. Bates,
  • Oliver Wing,
  • Christopher Sampson,
  • Niall Quinn,
  • Jeff Neal

DOI
https://doi.org/10.1038/s41467-019-09282-y
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 7

Abstract

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Flood risk modelling neglects the location of people and assets. Here the authors applied machine learning techniques and high-resolution population data to reinvestigate the impact of population distributions on flood exposure and showed that populations are generally represented as risk-averse and largely avoiding obvious flood zones.