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Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
Published on: March 6, 2014
Modeling phosphorus in the Lake Allatoona watershed using SWAT: I. Developing phosphorus parameter values
D E Radcliffe1, Z Lin, L M Risse
1Dep. of Crop and Soil Sciences, Univ. of Georgia, Athens, GA 30602.
Journal of Environmental Quality
|January 15, 2009
Summary
This study presents new methods for estimating phosphorus parameters in the Soil and Water Assessment Tool (SWAT) model. These improved parameters enhance predictions of phosphorus loads and stream concentrations for Lake Allatoona.
Area of Science:
- Environmental Science
- Hydrology
- Water Quality Modeling
Background:
- Lake Allatoona requires a phosphorus (P) total maximum daily load (TMDL) due to its large drainage area.
- Estimating P parameters, particularly for in-stream processes within the Soil and Water Assessment Tool (SWAT) model, lacks clear guidance.
Purpose of the Study:
- To demonstrate methods for estimating SWAT P parameters, focusing on both soil-related and in-stream processes.
- To improve the accuracy of watershed-scale P modeling for TMDL development.
Main Methods:
- Individually estimated SWAT soil-related P parameters.
- Collectively estimated in-stream P parameters using the nutrient uptake length concept and simulated point sources.
- Calibrated SWAT models for daily transport using developed P parameters.
Main Results:
- Simulated P uptake lengths ranged from 53 to 149 km, compared to measured values of 11 to 85 km.
- SWAT models using the derived P parameters outperformed those with default values in predicting total P concentrations and annual loads.
- Improved prediction of total phosphorus (TP) concentrations during storm events and TP annual loads to Lake Allatoona.
Conclusions:
- The developed methods provide a robust approach for estimating P-related parameters in SWAT models.
- Accurate P parameterization is crucial for effective watershed management and TMDL implementation.
- This approach enhances the reliability of SWAT for predicting phosphorus dynamics in reservoirs and their tributaries.
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