Water-quality data from 2002 to 2003 and analysis of data gaps for development of total maximum daily loads in the Lower Klamath River Basin, California

Flint, Lorraine E.; Curry, Debra S.; Rounds, Stewart A.; Doyle, Micelis C.

doi:10.3133/sir20045255

Cited by 1 publication

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although eff ects of riparian vegetation were not directly considered in this study, at the 30m scale general topographic eff ects indirectly incorporate riparian vegetation, except in broad valley reaches where topographic eff ects are small but riparian shading can be relatively large. Th e USGS has a stand-alone computer program, SKYVIEW (Flint et al, 2004), which was used to calculate topographic shading from sun-blocking ridges around each pixel in the DEM. Every 10-degree direction was calculated for the horizonto-horizon percentage of sky that is viewed by the stream channels in each basin.…”

Section: Topographic Shadingmentioning

confidence: 99%

“…Every 10-degree direction was calculated for the horizonto-horizon percentage of sky that is viewed by the stream channels in each basin. Th e calculated values of topographic shading were then used in the program SOLRAD (Flint and Childs, 1987;Flint et al, 2004) to calculate incident ground-received solar radiation loads (K↓) for each pixel in the DEM at hourly time steps cumulated daily for all days of the year.…”

Section: Topographic Shadingmentioning

confidence: 99%

“…To evaluate which components of radiation had the most signifi cant correlation to stream temperature, solar radiation (incident on the ground) and net radiation were modeled using FORTRAN computer codes (Flint et al, 2004) for point, river, or basin scales. Th e model was used to simulate daily values for these parameters on a 30-m grid, incorporating atmospheric data from NREL stations, hourly topographic shading, and cloudiness ( Fig.…”

Section: Modeled Solar Radiationmentioning

confidence: 99%

“…The U.S. Geological Survey (USGS), in cooperation with the NCRWQCB, collected and analyzed water quality and streamflow data to support the TMDL process for water bodies in the Lower Klamath River Basin (Flint et al, 2005). As a continuation of the TMDL process and to provide boundary conditions for a water quality model of the Lower Klamath River, the USGS is providing estimates to the NCRWQCB of hourly stream temperatures for the major tributaries feeding the Klamath River below Iron Gate Reservoir.…”

mentioning

confidence: 99%

See 3 more Smart Citations

A Basin‐Scale Approach to Estimating Stream Temperatures of Tributaries to the Lower Klamath River, California

Flint¹

2008

J of Env Quality

Self Cite

View full text Add to dashboard Cite

Stream temperature is an important component of salmonid habitat and is often above levels suitable for fish survival in the Lower Klamath River in northern California. The objective of this study was to provide boundary conditions for models that are assessing stream temperature on the main stem for the purpose of developing strategies to manage stream conditions using Total Maximum Daily Loads. For model input, hourly stream temperatures for 36 tributaries were estimated for 1 Jan. 2001 through 31 Oct. 2004. A basin-scale approach incorporating spatially distributed energy balance data was used to estimate the stream temperatures with measured air temperature and relative humidity data and simulated solar radiation, including topographic shading and corrections for cloudiness. Regression models were developed on the basis of available stream temperature data to predict temperatures for unmeasured periods of time and for unmeasured streams. The most significant factor in matching measured minimum and maximum stream temperatures was the seasonality of the estimate. Adding minimum and maximum air temperature to the regression model improved the estimate, and air temperature data over the region are available and easily distributed spatially. The addition of simulated solar radiation and vapor saturation deficit to the regression model significantly improved predictions of maximum stream temperature but was not required to predict minimum stream temperature. The average SE in estimated maximum daily stream temperature for the individual basins was 0.9 +/- 0.6 degrees C at the 95% confidence interval.

show abstract

Section: Topographic Shadingmentioning

confidence: 99%

Section: Topographic Shadingmentioning

confidence: 99%

Section: Modeled Solar Radiationmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations