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R. Blair Hanna

Publications and source records attributed to R. Blair Hanna.

2 recordsLinked to original sources

Modeling Klamath River system operations for quantity and quality

Alternative water management scenarios for a portion of the mainstem Klamath River from Keno, Oregon, to Seiad Valley, California, were evaluated using computer models of water quantity (MODSIM) and quality (HEC-5Q). These models were used to explore the potential for changing system operations to improve summer/fall water quality conditions to benefit declining anadromous fish populations such as steelhead, coho, and fall chinook salmon. By comparing and contrasting several model simulation results, some operational strategies that could improve water quality were determined. Most of the alternatives evaluated decreased water temperature less than 2°C. For some alternatives, dissolved oxygen could be changed as much as 5 mg/L, but was often reduced, rather than increased (or improved). Resource managers need to be made aware that implementation of any strategy to enhance water quality conditions in the Klamath River could produce desirable beneficial results that are both spatially and temporally limited. In addition, undesirable water quality conditions, i.e., higher water temperature or lower dissolved oxygen concentration at other upstream or downstream locations, may also result.

California, Oregon

Water quality modeling in the systems impact assessment model for the Klamath River basin - Keno, Oregon to Seiad Valley, California

This report describes the water quality model developed for the Klamath River System Impact Assessment Model (SIAM). The Klamath River SIAM is a decision support system developed by the authors and other US Geological Survey (USGS), Midcontinent Ecological Science Center staff to study the effects of basin-wide water management decisions on anadromous fish in the Klamath River. The Army Corps of Engineersa?? HEC5Q water quality modeling software was used to simulate water temperature, dissolved oxygen and conductivity in 100 miles of the Klamath River Basin in Oregon and California. The water quality model simulated three reservoirs and the mainstem Klamath River influenced by the Shasta and Scott River tributaries. Model development, calibration and two validation exercises are described as well as the integration of the water quality model into the SIAM decision support system software. Within SIAM, data are exchanged between the water quantity model (MODSIM), the water quality model (HEC5Q), the salmon population model (SALMOD) and methods for evaluating ecosystem health. The overall predictive ability of the water quality model is described in the context of calibration and validation error statistics. Applications of SIAM and the water quality model are described.

California, Oregon