Assessing the Impacts of Super Storm Flooding in the Transportation Infrastructure - Case Study: San Antonio, Texas
| 项目名称： | Assessing the Impacts of Super Storm Flooding in the Transportation Infrastructure - Case Study: San Antonio, Texas |
| 摘要： | Data from governmental agencies shows a clear exponential growth in damages and costs due to extreme weather events in the U.S. Most critical infrastructure built in urban areas, including that for transportation and flood protection are designed to handle a design storm with a 1% probability of occurrence in one year or 100 years of return period. Superstorms are defined here as rainfall storm events with return periods higher than 100 years and have occurred lately in the U.S. In the absence of new hydrologic and hydraulic modeling frameworks as well as educational opportunities for the current and future generation of engineers, the impacts of super storms will only increase negatively affecting critical infrastructure, the economy, the environment and communities. Hence, the main goal of this project is to develop and apply a computational framework capable of predicting the impacts of super storms in the transportation infrastructure and evaluating flood protection strategies that alleviate some of the impacts in highly populated urban areas. The case study is the City of San Antonio, TX, which lays within a flood-prone region in Texas referred as the Flash Flood Alley. |
| 状态： | Completed |
| 资金： | 140000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Transportation Consortium of South-Central States |
| 项目负责人： | Dessouky, Samer |
| 执行机构： | Texas A&M University, College Station |
| 主要研究人员： | Olivera, Francisco |
| 开始时间： | 20180315 |
| 预计完成日期： | 20190915 |
| 实际结束时间： | 20190915 |
相关文献
- Structural Impacts of Non-Conventional Super Heavy Loads (SHL) on Transportation Infrastructure
- Portable Roadway High Water Detection System for Driver Safety and Infrastructure Assessment
- Lessons from Hurricane Sandy for Port Resilience
- Establish TxDOT Transportation Resilience Planning Scorecard and Best Practices
- Deep reinforcement learning-based prioritization for rapid post disaster recovery of transportation infrastructure systems
- Investigating the Impacts of Truck Platooning on Transportation Infrastructure in the South-Central Region
检索历史
应用推荐
