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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
Published on: September 26, 2017
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Upper washita river experimental watersheds: nutrient water quality data
Journal of Environmental Quality
|January 21, 2015
Summary
Long-term water quality data from three Oklahoma watersheds (SGPRW, LWREW, FCREW) are now available. These datasets aid in understanding climate variability and land use impacts on water quality.
Area of Science:
- Environmental Science
- Hydrology
- Water Quality Management
Background:
- Climate variability, land use changes, and policy shifts necessitate long-term water quality research.
- Predicting future water quality requires extensive historical data.
- The USDA-ARS has compiled crucial water quality datasets from three Oklahoma watersheds.
Purpose of the Study:
- To describe and provide access to long-term water quality datasets from the Southern Great Plains Research Watershed (SGPRW), Little Washita River Experimental Watershed (LWREW), and Fort Cobb Reservoir Experimental Watershed (FCREW).
- To detail data collection, processing, quality assessment, and variability analyses for these datasets.
- To facilitate improved modeling and assessment of conservation practices under changing environmental conditions.
Main Methods:
- Data acquisition from streams, unit source watersheds, groundwater wells, and reservoirs.
- Collection and processing of water quality samples.
- Summary analyses of data variability and quality assessment.
Main Results:
- Water quality data collection spans from the 1960s to the present across the three watersheds.
- Datasets cover varying periods: SGPRW (1960s-1978), LWREW (1960s-1990), and FCREW (2004-present).
- Data completeness varies by site and parameter, with some continuous monitoring gaps.
Conclusions:
- These comprehensive water quality datasets are vital for understanding environmental change impacts.
- The data will enhance the evaluation of conservation strategies.
- Accessible data supports mitigation efforts for environmental challenges.
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