An application of ‘Big Data’ in flood risk management

D. Morrison, G. Aitken, L. Beevers, G. Wright

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vulnerability can be conceptualised as a three-dimensional space that comprises of susceptibility, exposure and resilience. These components are pertinent in enhancing our understanding of how physical and social systems react and are integral to successful Flood Risk Management. The emergence of ‘Big Data’ provides a unique opportunity to understand the vulnerability of our systems on a deeper level. This paper provides preliminary insights into the applicability of Big Data in FRM through a mixed-methods approach that considers three components of vulnerability. We highlight that Big Data can be useful when applied to top-down and bottom-up strategies alike to understand the interplay between exposure, susceptibility and resilience and their implications in better protecting our social system. Overall, this paper aims to further the discussion on the integration of top-down and bottom-up FRM strategies and interdependence of scales of vulnerability to flooding.

Original languageEnglish
Title of host publicationRiver Flow 2020
Subtitle of host publicationProceedings of the 10th Conference on Fluvial Hydraulics (Delft, Netherlands, 7-10 July 2020)
EditorsWim Uijttewaal, Mario J. Franca, Daniel Valero, Victor Chavarrias, Claudia Ylla Arbos, Ralph Schielen, Ralph Schielen, Alessandra Crosato
PublisherRoutledge
Pages1864-1872
Number of pages9
ISBN (Electronic)9780367627737, 9781003110958
Publication statusPublished - 27 Aug 2020
Event10th Conference on Fluvial Hydraulics, River Flow 2020 - Virtual, Online, Netherlands
Duration: 7 Jul 202010 Jul 2020

Publication series

NameRiver Flow 2020 - Proceedings of the 10th Conference on Fluvial Hydraulics

Conference

Conference10th Conference on Fluvial Hydraulics, River Flow 2020
Country/TerritoryNetherlands
CityVirtual, Online
Period7/07/2010/07/20

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