Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021
https://doi.org/10.5194/nhess-21-807-2021
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021
https://doi.org/10.5194/nhess-21-807-2021

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.

Related subject area

Hydrological Hazards
Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling
Tigstu T. Dullo, George K. Darkwah, Sudershan Gangrade, Mario Morales-Hernández, M. Bulbul Sharif, Alfred J. Kalyanapu, Shih-Chieh Kao, Sheikh Ghafoor, and Moetasim Ashfaq
Nat. Hazards Earth Syst. Sci., 21, 1739–1757, https://doi.org/10.5194/nhess-21-1739-2021,https://doi.org/10.5194/nhess-21-1739-2021, 2021
Short summary
Integrated mapping of water-related disasters using the analytical hierarchy process under land use change and climate change issues in Laos
Sengphrachanh Phakonkham, So Kazama, and Daisuke Komori
Nat. Hazards Earth Syst. Sci., 21, 1551–1567, https://doi.org/10.5194/nhess-21-1551-2021,https://doi.org/10.5194/nhess-21-1551-2021, 2021
Short summary
Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly
Eklavyya Popat and Petra Döll
Nat. Hazards Earth Syst. Sci., 21, 1337–1354, https://doi.org/10.5194/nhess-21-1337-2021,https://doi.org/10.5194/nhess-21-1337-2021, 2021
Short summary
The uncertainty of flood frequency analyses in hydrodynamic model simulations
Xudong Zhou, Wenchao Ma, Wataru Echizenya, and Dai Yamazaki
Nat. Hazards Earth Syst. Sci., 21, 1071–1085, https://doi.org/10.5194/nhess-21-1071-2021,https://doi.org/10.5194/nhess-21-1071-2021, 2021
Short summary
Flood risk assessment of the European road network
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021,https://doi.org/10.5194/nhess-21-1011-2021, 2021
Short summary

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, https://doi.org/10.1080/07011784.2015.1109480, 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
Download
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.
Altmetrics
Final-revised paper
Preprint