The researchers will integrate data from advanced weather radar systems, innovative wireless sensors and crowdsourcing of data via cell phone applications to create high-resolution modeling of urban water systems.
The resulting urban water prediction system will use cloud computing to produce a suite of products for flash flood forecasting, inundation mapping, water quality forecasting, storm water management, urbanization impact assessment, climate change impact assessment and adaptation, and other applications. The project also will eventually aid local governments in determining infrastructure needs to minimize flooding.
The team is led by University of Texas at Arlington Associate Professor D.J. Seo.
To learn more, visit phys.org.
