摘要: |
Flooding, and the effects and impacts of flooding along transportation corridors, has caused billions of dollars of damage and countless deaths. Technology currently exists to accurately pinpoint those areas along a transportation corridor that are susceptible to flooding. Many state departments of transportation (DOTs) have a bridge flood monitoring program for structures that are susceptible to bridge scour. Additionally, most state DOTs have inundation mapping and use inundation modeling in the design of their transportation infrastructure. Although there are weather and climate tools and systems available for predicting changes in the weather and climate conditions, they have not yet been integrated to provide sufficient planning and prediction information required by state DOTs to carry out flood planning, risk management, mitigation, operations, and emergency response activities. Research is needed to translate the available technologies into a suite of tools and methods for use by decision makers at DOTs. Such research is intended to support DOTs in their efforts to develop and deploy emergency management early warning systems that can be applied to flood prediction and warning for enhanced flood event decision making and situational awareness for transportation resilience by harnessing available processes, tools, and hydrometeorology network capabilities.
The objectives of this research are to develop a strategic framework and a prototype tool for enhanced flood event decision making. The framework and tool should help state DOTs plan, manage risks, mitigate hazards, and respond to flood and flash flood events. The framework and tool should address not only immediate flood impacts, but also cascading, escalating impacts. Given the large amount and diversity of applicable data and tools, the framework design should be flexible and scalable to accommodate the available data sets and allow users to easily share both data and products with other users, thereby fostering collaboration across government organizations and the private sector. |