Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021

Research article 01 Mar 2021

Research article | 01 Mar 2021

Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales: a pilot study in southeast Texas

William Mobley et al.

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Cited articles

Albers, S. J. and Déry, S. J.: Flooding in the Nechako River Basin of Canada: A random forest modeling approach to flood analysis in a regulated reservoir system, Can. Water Resour. J., 41, 250–260,, 2015. a
Anderson, B., Rutherfurd, I., and Western, A.: An analysis of the influence of riparian vegetation on the propagation of flood waves, Environ. Modell. Softw., 21, 1290–1296, 2006. a
Anderson, D. G.: Effects of urban development on floods in northern Virginia, US Government Printing Office, Washington DC, 27 pp., 1970. a
Apel, H., Aronica, G., Kreibich, H., and Thieken, A.: Flood risk analyses – how detailed do we need to be?, Nat. Hazards, 49, 79–98, 2009. a
Arnold Jr., C. L. and Gibbons, C. J.: Impervious surface coverage: the emergence of a key environmental indicator, J. Am. Plann. Assoc., 62, 243–258, 1996. a
Short summary
In southeast Texas, flood impacts are exacerbated by increases in impervious surfaces, human inaction, outdated FEMA-defined floodplains and modeling assumptions, and changing environmental conditions. The current flood maps are inadequate indicators of flood risk, especially in urban areas. This study proposes a novel method to model flood hazard and impact in urban areas. Specifically, we used novel flood risk modeling techniques to produce annualized flood hazard maps.
Final-revised paper