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Maryland State Highway Administration Climate Change Adaptation Plan with Detailed Vulnerability Assessment

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    This report presents the results of a Climate Resilience Pilot Project conducted by the Maryland State Highway Administration (SHA) and sponsored in part by the Federal Highway Administration (FHWA). The primary objectives of the Pilot Study are to assess the vulnerability of SHA’s transportation assets (roads and bridges) to climate variables or stressors, to develop engineering approaches to address current and future climate induced risks and to make recommendations for policy or process changes to improve the resiliency of Maryland’s highway system. This Pilot Study serves as a model from which SHA will be able to establish the framework and process for asset vulnerability assessment, prioritization, and adaptation in response to climate change. Another objective of the Pilot Study is interagency knowledge transfer and mutual capacity building. As such, the Pilot Study will share information on methods used and lessons learned with other state Departments of Transportations and government agencies for the purpose of expanding the transportation sector’s ability to respond to ongoing climate change impacts across jurisdictions. A framework was developed for the vulnerability assessment. Asset and climate information was compiled from a variety of reputable sources. Predictive models were developed using recent Light Detection and Ranging (LiDAR) information from the State of Maryland and Hazus modeling. Three primary assets were evaluated: bridges (including small structures), roadways, and small culverts/drainage conveyances. Each of the climate variables were reviewed and evaluated for their potential impacts on Maryland’s transportation assets and it was determined that sea level change, storm surge from extreme weather events, and increased intensity in precipitation would have the greatest impact on the transportation assets under study.
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    urn:sha-512:18b36a10713473b9169601ac3c564dc9e9c7a6a2aa81c82c04ba4f21666ba53a1c43c289c74851912eea730719aed7e92285fd6a7dd3328a3a54ee6524b1e40b
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