Providing solutions for data scarcity in urban flood modeling through sensitivity analysis and DEM modifications

Author:

Dasallas Lea12ORCID,An Hyunuk1ORCID,Lee Seungsoo3ORCID

Affiliation:

1. a Department of Environmental and Rural Engineering, Chungnam National University, Daejeon 34134, Republic of Korea

2. b Current affiliation: K-water Research Institute, Daejeon 64045, Republic of Korea

3. c Korea Environment Institute, Sejong 30147, Republic of Korea

Abstract

Abstract Developing countries face significant challenges in accessing sufficient and reliable hydro-meteorological data, hindering the implementation of effective disaster management strategies. This research proposes solutions for limitations on performing flood simulations through parameter sensitivity analysis and digital elevation model (DEM) modifications. The methodology provides alternatives to account for insufficient rainfall, roughness coefficient, infiltration data in simulating large-scale rainfall-runoff, and high-resolution DEMs incorporating road and building networks for urban flood modeling. By applying the method to an extreme flood event in the Marikina Basin, Philippines, a combination of ground-based and remotely retrieved rainfall data, roughness (n = 0.3861–0.5005), and infiltration parameters (Δθ = 0.326–0.505 and ψ = 0.4547–1.565) set at the maximum range were found to replicate the increase in the upstream water level. Simulations were able to accurately capture the flood propagation along the natural and artificial barriers in the urban area compared to untreated digital terrain and surface model (DTM and DSM) data, with root-mean-square error range improvements from 0–7.13 (DTM) and 0.29–4.20 (DSM) to 0–0.63 (modified DEM). The proposed methodology significantly improved the accuracy of the simulations, which is crucial for proposing adequate flood action plans, despite the lack of high-resolution data available for under-developed nations.

Funder

National Research Foundation of Korea

Publisher

IWA Publishing

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