Stormwater Design Return Period Standards for U.S. Transportation Infrastructure: How Are States Approaching Resilience?
Abstract
Climate change is projected to increase the frequency and intensity of precipitation in many regions, which is relevant for stormwater engineering designs and resilience in the transportation sector. Existing and future stormwater infrastructure is generally designed for historical and stationary hydrologic conditions. For example, the design return period is based on statistical analysis of past precipitation events, often over a 50-year historical timeline. The design return period translates into how much peak precipitation volume a system is designed for in a state, and provides information about the performance of a drainage structure. The higher the design period used by an engineer for a given stormwater system, the more peak stormwater volume the system can convey. Therefore, design return periods can be associated with a design's near-term and long-term resilience. However, there is a tradeoff between the choice of design return period, the total infrastructure capital cost, and the resilience of a system to heavy precipitation events. This study analyzes current stormwater infrastructure design guidelines for state departments of transportation in the contiguous United States, in order to understand how stormwater design return periods vary across states and provide insight into the resilience of current stormwater systems design. The study found that the design return period varies considerably across the United States by roadway functional class and drainage classification, as well as within climate regions. Understanding this variation will help states identify possible vulnerabilities, highlight deficiencies across states and infrastructure types, and help in updating design return periods to increase the climate resilience of stormwater infrastructure.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMPA31A2199S
- Keywords:
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- 1626 Global climate models;
- GLOBAL CHANGEDE: 1630 Impacts of global change;
- GLOBAL CHANGEDE: 4330 Vulnerability;
- NATURAL HAZARDSDE: 6344 System operation and management;
- POLICY SCIENCES