Making Culverts Great Again: Modeling Road Culvert Vulnerability to Assist Prioritization of Local Infrastructure Investment
Abstract
The concurrent threats posed by climate change and aging infrastructure have become of increasing concern in recent years. In the Northeastern US, storms such as Hurricane Irene and Super Storm Sandy have highlighted the vulnerability of infrastructure to extreme weather events, which are projected to become more frequent under future climate change scenarios. Road culverts are one type of infrastructure that is particularly vulnerable to such threats. Culverts allow roads to safely traverse small streams or drainage ditches, and their proper design is critical to ensuring a safe and reliable transportation network. Much of the responsibility for designing and maintaining road culverts lies at the local level, but many local governments lack the resources to quantify the vulnerability of their culverts to major storms. This study contributes a model designed to assist local governments in rapidly assessing the vulnerability of large numbers of culverts and identifies common characteristics of vulnerable culverts. Model inputs include culvert geometry and location data collected by trained local field teams. The model uses custom tools created in ArcGIS and Python to determine the maximum return period storm that each culvert can safely convey under current and projected future rainfall regimes. As a demonstration, over 1000 culverts in New York State were modeled. It was found that a significant percentage of modeled culverts failed to convey the current 5 year return period storm event (deemed a failure) and this percentage increased under projected future rainfall conditions. The model results were analyzed to determine correlations between culvert characteristics and failure. Characteristics investigated included watershed size, road type (state, county or local), affluence of the surrounding area and suitability for aquatic organism passage. Results from this study can be used by local governments to quantify and characterize the vulnerability of current infrastructure and prioritize future infrastructure investment.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.H41A1275G
- Keywords:
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- 1847 Modeling;
- HYDROLOGYDE: 1871 Surface water quality;
- HYDROLOGYDE: 1879 Watershed;
- HYDROLOGYDE: 1880 Water management;
- HYDROLOGY