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Flood Exposure Assessment of Electrical Substations in Iowa Using Geospatial Service-Area and Influence-Zone Modeling

Flood Exposure Assessment of Electrical Substations in Iowa Using Geospatial Service-Area and Influence-Zone Modeling

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Authors

Ege Duran , Omer Mermer , Ibrahim Demir

Abstract

Flooding poses a growing risk to electric substations, yet statewide assessments often fail to connect facility exposure with the spatial context of service territories, communities, built environments, and grid infrastructure. This study develops a data-driven geospatial framework to assess direct and indirect flood impacts on electrical substations across Iowa under 50-, 100-, and 500-year flood scenarios. The framework combines footprint-level inundation analysis with county aggregation, electric service boundaries (ESB), influence zones, demographic and energy-burden indicators, kernel density mapping, and allocation-sensitivity checks. Results show that exposed substations increase from 108 to 226 across the scenarios, with deeper and broader within-site inundation under larger events. Under the 500-year scenario, direct exposure affects 12.83% of substations, but affected service territories contain 66.27% of Iowa’s population, 68.03% of statewide building footprint area, and 46.59% of grid-line length. Influence zone results show that impacted substation-centered zones contain 20.51% of the statewide population and remain above the statewide energy-burden average. Exposure concentrates along eastern and southeastern Iowa near the Mississippi corridor, extends into western and northwestern border transmission corridors, and appears as a strong urban built-environment hotspot in Polk County. Sensitivity results show that building-area exposure is the most transferable indicator between ESB and influence frameworks, while grid-line exposure is more boundary-dependent. The framework identifies priority substations where flood exposure intersects with broader regional consequence potential.

DOI

https://doi.org/10.31223/X5S23C

Subjects

Environmental Indicators and Impact Assessment, Geographic Information Sciences

Keywords

Electrical Substations, Power Grid Resilience, Flood Hazard Assessment, Critical Infrastructure, Electric Service Boundaries, Socio-Economic Vulnerability, Resource Allocation, Spatial Exposure Modeling

Dates

Published: 2026-10-24 04:57

Last Updated: 2026-10-24 04:57

License

CC-BY Attribution-NonCommercial-ShareAlike 4.0 International

Additional Metadata

Data Availability:
All data used during this study are included in the manuscript.

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