Articles | Volume 386
https://doi.org/10.5194/piahs-386-345-2024
https://doi.org/10.5194/piahs-386-345-2024
Post-conference publication
 | 
06 Nov 2024
Post-conference publication |  | 06 Nov 2024

Evaluating Regional Variability in Road Closure Outcomes Due to Rainfall: a Logistic Regression Approach

Hao Zhong and Daan Liang

Cited articles

Apel, H., Thieken, A. H., Merz, B., and Blöschl, G.: Flood risk assessment and associated uncertainty, Nat. Hazards Earth Syst. Sci., 4, 295–308, https://doi.org/10.5194/nhess-4-295-2004, 2004. 
Bates, P. D., Horritt, M. S., Aronica, G., and Beven, K.: Bayesian updating of flood inundation likelihoods conditioned on flood extent data, Hydrol. Process., 18, 3347–3370, https://doi.org/10.1002/hyp.1499, 2004. 
Chambers, K. A., Husain, I., Chathampally, Y., Vierling, A., Cardenas-Turanzas, M., Cardenas, F., and Rogg, J.: Impact of Hurricane Harvey on healthcare utilization and emergency department operations, West. J. Emerg. Med., 21, 586, https://doi.org/10.5811/westjem.2020.1.41055, 2020. 
Chatterjee, C., Förster, S., and Bronstert, A.: Comparison of hydrodynamic models of different complexities to model floods with emergency storage areas, Hydrol. Process., 22, 4695–4709, https://doi.org/10.1002/hyp.7079, 2008. 
FEMA: Flood Prone Area Map, https://www.propertyshark.com/mason/tx/Harris-County/Maps/Fema-Flood-Hazard-Areas, last access: 20 February 2022. 
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Short summary
Lag effect exists in road closure prediction as the rainfall intensities on the present day and 3-day prior contribute the most. Flooding is sensitive to local characteristics and conditions and therefore such factors should be incorporated in the model.