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DOE OSTI · 3029655

Land-use analysis using infrastructure representations and high-resolution flood inundation mapping techniques

Abstract

In the face of climate change and population growth in coastal regions, land-use analysis efforts are more challenging than ever. Land-use decision-makers in coastal communities are burdened with the difficult choices of where to place new homes versus other assets. While there has been an increased focus on hazard mitigation and disaster resilience in the field of planning, evidence points towards continued development in risk-prone areas including flood zones. Residential development within flood zones specifically continues to be a major issue. To help counter this trend, this study introduces a novel land-use analysis method, coupling topographic flood inundation mapping techniques with digital elevation model (DEM) adaptations. This Topographic Model Scenario Generation workflow can be used by planners early in the land-use decision making process and provides an alternative to high-computational hydraulic models. The analysis also includes the identification of strengths and weaknesses of topographic models' recognition of built infrastructure assets, adding to a limited body of knowledge addressing recommended uses of such models. Levees and canals prove particularly functional in this context while detention ponds less so, likely due to a lack of total water mass accountability. Lastly, we provide a functional demonstration in Southeast Texas to illustrate the workflow's ability to create multiple infrastructure scenarios and visualize their effects across different flood events.

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BibTeXRIS

Murphy, Sean [The University of Texas at Austin, TX (United States)] (ORCID:0009000765085315), Wang, Mark [The University of Texas at Austin, TX (United States)] (ORCID:0000000206637980), Cheng, Chih-Shen [The University of Texas at Austin, TX (United States)] (ORCID:0000000172264484), Passalacqua, Paola [The University of Texas at Austin, TX (United States)] (ORCID:0000000247637231), Leite, Fernanda [The University of Texas at Austin, TX (United States)] (ORCID:0000000277894474). 2025-04-23. Land-use analysis using infrastructure representations and high-resolution flood inundation mapping techniques. https://doi.org/10.1016/j.ijdrr.2025.105518

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