Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas
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Abstract
Since December 2005, the U.S. Geological Survey, in cooperation with the City of Houston, Texas, has been assessing the quality of the water flowing into Lake Houston. Continuous in-stream water-quality monitors measured streamflow and other physical water quality properties at stations in Spring Creek near Spring, Tex., and East Fork San Jacinto River near New Caney, Tex. Additionally, discrete water-quality samples were periodically collected on these tributaries and analyzed for selected constituents of concern. Data from the discrete water-quality samples collected during 2005-9, in conjunction with the real-time streamflow data and data from the continuous in-stream water-quality monitors, provided the basis for developing regression equations for the estimation of concentrations of water-quality constituents of these source watersheds to Lake Houston. The output of the regression equations are available through the interactive National Real-Time Water Quality Web site (http://nrtwq.usgs.gov).
Study Area
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas |
| Series title | Fact Sheet |
| Series number | 2012-3026 |
| DOI | 10.3133/fs20123026 |
| Year Published | 2012 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston, VA |
| Contributing office(s) | Texas Water Science Center |
| Description | 4 p. |
| Time Range Start | 2005-12-01 |
| Time Range End | 2009-12-31 |
| Country | United States |
| State | Texas |
| City | Houston, New Caney, Spring |
| Other Geospatial | East Fork San Jacinto River, Lake Houston, Spring Creek, |
| Projection | Universal Transverse Mercator |
| Scale | 602933 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |