Respectively, Professional Research Assistant and Director, Center for Advanced Decision Support for Water and Environmental Systems, University of Colorado, UCB 421, Boulder, Colorado 80309–0421; and Assistant Professor, University of Colorado, Department of Civil, Environmental, and Architectural Engineering, UCB 426, Boulder, Colorado 80309–0426 (E-Mail/Neumann: David.Neumann@Colorado.edu).
A DECISION SUPPORT SYSTEM TO MANAGE SUMMER STREAM TEMPERATURES1
Article first published online: 8 JUN 2007
JAWRA Journal of the American Water Resources Association
Volume 42, Issue 5, pages 1275–1284, October 2006
How to Cite
Neumann, D. W., Zagona, E. A. and Rajagopalan, B. (2006), A DECISION SUPPORT SYSTEM TO MANAGE SUMMER STREAM TEMPERATURES. JAWRA Journal of the American Water Resources Association, 42: 1275–1284. doi: 10.1111/j.1752-1688.2006.tb05300.x
Paper No. 04010 of the Journal of the American Water Resources Association (JAWRA)
- Issue published online: 8 JUN 2007
- Article first published online: 8 JUN 2007
- decision support systems;
- stream temperature;
- water quality;
- water allocation;
ABSTRACT: Warm summer stream temperatures due to low flows and high air temperatures are a critical water quality problem in many western United States river basins because they impact threatened fish species’habitat. One way to alleviate this problem is for local and federal organizations to purchase water rights to be used to increase flows, hence decrease temperatures. Presented is a Decision Support System (DSS) that can be used in an operations mode to effectively use water acquired to mitigate warm stream temperatures. The DSS uses a statistical model for predicting daily stream temperatures and a rule-based module to compute reservoir releases. Water releases are calculated to meet fish habitat temperature targets based on the predicted stream temperature and a user specified confidence of the temperature predictions. Strategies that enable effective use of a limited amount of water throughout the season have also been incorporated in the DSS. The utility of the DSS is demonstrated by an example application to the Truckee River near Reno, Nevada, using hypothetical operating policy and 1988 through 1994 inflows. Results indicate that the DSS could substantially reduce the number of target temperature violations (i.e., stream temperatures exceeding the target temperature levels detrimental to fish habitat).