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

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...

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Autores principales:	Andrew Smith, Paul D. Bates, Oliver Wing, Christopher Sampson, Niall Quinn, Jeff Neal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c14b36755011474ba2a151bf0248d457
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spelling	oai:doaj.org-article:c14b36755011474ba2a151bf0248d4572021-12-02T17:31:22ZNew estimates of flood exposure in developing countries using high-resolution population data10.1038/s41467-019-09282-y2041-1723https://doaj.org/article/c14b36755011474ba2a151bf0248d4572019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09282-yhttps://doaj.org/toc/2041-1723Flood 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.Andrew SmithPaul D. BatesOliver WingChristopher SampsonNiall QuinnJeff NealNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Andrew Smith Paul D. Bates Oliver Wing Christopher Sampson Niall Quinn Jeff Neal New estimates of flood exposure in developing countries using high-resolution population data
description	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.
format	article
author	Andrew Smith Paul D. Bates Oliver Wing Christopher Sampson Niall Quinn Jeff Neal
author_facet	Andrew Smith Paul D. Bates Oliver Wing Christopher Sampson Niall Quinn Jeff Neal
author_sort	Andrew Smith
title	New estimates of flood exposure in developing countries using high-resolution population data
title_short	New estimates of flood exposure in developing countries using high-resolution population data
title_full	New estimates of flood exposure in developing countries using high-resolution population data
title_fullStr	New estimates of flood exposure in developing countries using high-resolution population data
title_full_unstemmed	New estimates of flood exposure in developing countries using high-resolution population data
title_sort	new estimates of flood exposure in developing countries using high-resolution population data
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/c14b36755011474ba2a151bf0248d457
work_keys_str_mv	AT andrewsmith newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata AT pauldbates newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata AT oliverwing newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata AT christophersampson newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata AT niallquinn newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata AT jeffneal newestimatesoffloodexposureindevelopingcountriesusinghighresolutionpopulationdata
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New estimates of flood exposure in developing countries using high-resolution population data

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