Project Date: 
May 2014

Intelligent water information systems have the potential to provide precise measurement of snowpack and its condition from day to day and particularly at critical points in the annual cycle. This information can be translated into more accurate flow predications, presenting managers with the opportunity to improve the operation of water infrastructure, including power generation, water supply, flood protection, and extend the functional life of existing infrastructure.


The goal of this project is to collect and analyze data on the economic uses of water, understand the value of accuracy and timeliness of this information, and develop an improved economic model that can assess the value of better information concerning the release of water from watersheds above the river and reservoir system of California. Using sensor-based water management technologies, the researchers will select an initial case study for the work, and include recommendations on how the approach could be adapted.