An application of ‘Big Data’ in flood risk management

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

doi:10.1201/b22619-262

An application of ‘Big Data’ in flood risk management

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	River Flow 2020
Subtitle of host publication	Proceedings of the 10th Conference on Fluvial Hydraulics
Editors	Wim Uijttewaal, Mario J. Franca, Daniel Valero, Victor Chavarrias, Claudia Ylla Arbos, Ralph Schielen, Ralph Schielen, Alessandra Crosato
Place of Publication	London
Publisher	CRC Press
Pages	1864-1872
Number of pages	9
Edition	1
ISBN (Electronic)	9781003110958
ISBN (Print)	9780367627737
DOIs	https://doi.org/10.1201/b22619-262
Publication status	Published - 2020
Event	10th Conference on Fluvial Hydraulics 2020 - Virtual, Delft, Netherlands Duration: 7 Jul 2020 → 10 Jul 2020

Conference

Conference	10th Conference on Fluvial Hydraulics 2020
Abbreviated title	River Flow 2020
Country/Territory	Netherlands
City	Virtual, Delft
Period	7/07/20 → 10/07/20

ASJC Scopus subject areas

Fluid Flow and Transfer Processes
Geotechnical Engineering and Engineering Geology

Access to Document

10.1201/b22619-262

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Morrison, D., Aitken, G., Beevers, L., & Wright, G. (2020). An application of ‘Big Data’ in flood risk management. In W. Uijttewaal, M. J. Franca, D. Valero, V. Chavarrias, C. Y. Arbos, R. Schielen, R. Schielen, & A. Crosato (Eds.), River Flow 2020: Proceedings of the 10th Conference on Fluvial Hydraulics (1 ed., pp. 1864-1872). CRC Press. https://doi.org/10.1201/b22619-262

Morrison, D. ; Aitken, G. ; Beevers, L. et al. / An application of ‘Big Data’ in flood risk management. River Flow 2020: Proceedings of the 10th Conference on Fluvial Hydraulics. editor / Wim Uijttewaal ; Mario J. Franca ; Daniel Valero ; Victor Chavarrias ; Claudia Ylla Arbos ; Ralph Schielen ; Ralph Schielen ; Alessandra Crosato. 1. ed. London : CRC Press, 2020. pp. 1864-1872

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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 {\textquoteleft}Big Data{\textquoteright} 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.",

author = "D. Morrison and G. Aitken and L. Beevers and G. Wright",

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year = "2020",

doi = "10.1201/b22619-262",

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editor = "Wim Uijttewaal and Franca, {Mario J.} and Daniel Valero and Victor Chavarrias and Arbos, {Claudia Ylla} and Ralph Schielen and Ralph Schielen and Alessandra Crosato",

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Morrison, D, Aitken, G, Beevers, L & Wright, G 2020, An application of ‘Big Data’ in flood risk management. in W Uijttewaal, MJ Franca, D Valero, V Chavarrias, CY Arbos, R Schielen, R Schielen & A Crosato (eds), River Flow 2020: Proceedings of the 10th Conference on Fluvial Hydraulics. 1 edn, CRC Press, London, pp. 1864-1872, 10th Conference on Fluvial Hydraulics 2020, Virtual, Delft, Netherlands, 7/07/20. https://doi.org/10.1201/b22619-262

An application of ‘Big Data’ in flood risk management. / Morrison, D.; Aitken, G.; Beevers, L. et al.
River Flow 2020: Proceedings of the 10th Conference on Fluvial Hydraulics. ed. / Wim Uijttewaal; Mario J. Franca; Daniel Valero; Victor Chavarrias; Claudia Ylla Arbos; Ralph Schielen; Ralph Schielen; Alessandra Crosato. 1. ed. London: CRC Press, 2020. p. 1864-1872.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - An application of ‘Big Data’ in flood risk management

AU - Morrison, D.

AU - Aitken, G.

AU - Beevers, L.

AU - Wright, G.

PY - 2020

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N2 - 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.

AB - 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.

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A2 - Uijttewaal, Wim

A2 - Franca, Mario J.

A2 - Valero, Daniel

A2 - Chavarrias, Victor

A2 - Arbos, Claudia Ylla

A2 - Schielen, Ralph

A2 - Crosato, Alessandra

PB - CRC Press

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T2 - 10th Conference on Fluvial Hydraulics 2020

Y2 - 7 July 2020 through 10 July 2020

ER -

An application of ‘Big Data’ in flood risk management

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ASJC Scopus subject areas

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