journal article·2025-08-14Open access

Flood Exposure Assessment of Railway Infrastructure: A Case Study for Iowa

Yazeed Alabbad, Atiye Beyza Cikmaz, Enes Yildirim, Ibrahim Demir

Applied Sciences· Volume 15· Issue 16

Abstract

Floods pose a substantial risk to human well-being. These risks encompass economic losses, infrastructural damage, disruption of daily life, and potential loss of life. This study presents a state-wide and county-level spatial exposure assessment of the Iowa railway network, emphasizing the resilience and reliability of essential services during such disasters. In the United States, the railway network is vital for the distribution of goods and services. This research specifically targets the railway network in Iowa, a state where the impact of flooding on railways has not been extensively studied. We employ comprehensive GIS analysis to assess the vulnerability of the railway network, bridges, rail crossings, and facilities under 100- and 500-year flood scenarios at the state level. Additionally, we conducted a detailed investigation into the most flood-affected counties, focusing on the susceptibility of railway bridges. Our state-wide analysis reveals that, in a 100-year flood scenario, up to 9% of railroads, 8% of rail crossings, 58% of bridges, and 6% of facilities are impacted. In a 500-year flood scenario, these figures increase to 16%, 14%, 61%, and 13%, respectively. Furthermore, our secondary analysis using flood depth maps indicates that approximately half of the railway bridges in the flood zones of the studied counties could become non-functional in both flood scenarios. These findings are crucial for developing effective disaster risk management plans and strategies, ensuring adequate preparedness for the impacts of flooding on railway infrastructure.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Infrastructure Maintenance and Monitoring

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia

School of Urban and Regional Planning, University of Iowa, Iowa City, IA 52242, USA

Civil Engineering Department, Division of Hydraulics, Giresun University, Giresun 28200, Türkiye

River-Coastal Science and Engineering, Tulane University, New Orleans, LA 70118, USA

ByWater Institute, Tulane University, New Orleans, LA 70118, USA

Funding

King Saud University

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