Record Display for the EPA National Library Catalog

RECORD NUMBER: 16 OF 35

OLS Field Name OLS Field Data
Main Title Investigation of the Hydrologic Sensitivities to Climate: A Case Study for the American River, Washington (Final Technical Report).
Author Brettman, K. ; Lettenmaier, D. P. ;
CORP Author Washington Univ., Seattle. Dept. of Civil Engineering.;Department of Energy, Washington, DC.;Environmental Protection Agency, Washington, DC.
Publisher 1990
Year Published 1990
Report Number WATER RESOURCES SER/TR-124; DE-AC06-76RLO-1830;
Stock Number PB96-194329
Additional Subjects American River ; Greenhouse effect ; Climate change ; Water resources ; Global warning ; Stream flow ; Surface flow ; Soil moisture ; Watershed management ; Rainfall-runoff relationships ; Multiple-purpose reservoirs ; Reservoir storage ; Reservoir operation ; Environmental impacts ; Precipitation(Meteorology) ; Seasonal variations ; Hydroelectric power ; Fisheries ; Agriculture ; Synthetic hydrology ; Hydrologic models ; Mathematical models ; Case studies ; Washington ; Environmental sensitivity
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB96-194329 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 11/18/1996
Collation 114p
Abstract
The report describes an investigation of the hydrologic aspects of global climate change with application to the American River, Washington. Part of the study attempts to quantify the effects of assumed regional warming on the runoff patterns within the catchment. Runoff sequences for the watershed are generated using several hydrologic models, and a comparison of the results is made. The investigation also explores the potential effects of greenhouse warming on hydropower production, agricultural water deliveries, and fisheries releases through a sensitivity analysis of a single multiple use reservoir. In addition to studying the interaction of multiple operating objectives, the potential for mitigation of climate change effects via improved reservoir operations is analyzed using an operations optimization model.