
| Title | Walla Walla Watershed Planning Area: Prediction of Gaged Streamflows by Modeling | |||
| Month-Year Published | January 2011 | |||
| Online Availability |
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| Short Description |
Since 2002, the Washington State Department of Ecology has operated 14 flow gaging stations in WRIA 32, the Walla Walla River watershed planning area. This report presents: The needs of state and of local partners for flow information should be evaluated and be compared to the quality of the regressions to determine whether regressions or direct flow measurements meet those needs. (Also see abstract below) | |||
| Publication Number | 11-03-002 | |||
| Author(s) | Pickett, P. | |||
| Print Availability | ||||
| Number of pages | 84 | |||
| Keywords | creek, flow, model, river, stream, streamflow, water, Water Resource Inventory Area, watershed planning | |||
| Subject Waterbodies |
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| Related Publications | Title | Relationship | ||
| Quality Assurance Project Plan: Walla Walla Watershed Planning Area Prediction of Gaged Streamflows by Modeling | supporting publication | |||
| Abstract | Long Description |
The Washington State Department of Ecology (Ecology) has operated 14 flow gaging stations in Water Resource Inventory Area (WRIA) 32. WRIA 32 includes the Walla Walla River watershed in Washington State. This study developed regression tools for the Ecology gages based on other Ecology and United States Geological Survey (USGS) gages using power or linear relationships and a hydrograph separation method. The quality of these regressions was assessed using statistical tools. Regression quality was varied between stations, with good quality fits (median percent relative standard deviation less than 15%) at six telemetry stations, and poor fits (greater than 15%) at the other four telemetry stations. Staff gages stations generally had poor fits. Recommendations were made regarding the discontinuation or retention of the gages based on study results. The needs of the state and of local partners for this flow information should be evaluated and be compared to the quality of the regression to determine whether direct flow measurements or the regression are adequate to meet those needs. |
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This page last updated August 17, 2011
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