Planning & Management
397900 - A Spatial Decision Support System for Choice and Placement of Nitrogen Source Reducing Best Management Practices in the Beasley Lake Watershed, Delta Region of Mississippi
Wednesday, June 6
10:30 AM - 12:00 PM
Location: Greenway GH
Cristiane Surbeck, Oxford, MS, U.S. – University of Mississippi
A Spatial Decision Support System for Choice and Placement of Nitrogen Source Reducing Best Management Practices in the Beasley Lake Watershed, Delta Region of Mississippi
Tadesse A. Sinshaw, Cristiane Q. Surbeck, Doug Shields, and Azad Hossain
Nutrient reduction efforts are planned based on spatially complex watershed information. These efforts encompass a series of activities, such as identifying sources, quantifying source yields, estimating exported load, and establishing source reducing best management practices (BMPs). The choice and placement of BMPs requires a decision on three conflicting objectives: performance, site suitability, and establishment cost.
The present study applied a spatial decision support system for the Beasley Lake Watershed to optimize a nitrogen (N) source reduction plan. The watershed information required to assess N pollution was stored as a database pool and served as an updatable data view. The nutrient movement on the landscape was tracked from sources to the receiving Beasley Lake using a distance-decay method. The critical N source locations and suitable sites for establishing buffer strips and wetlands were identified. This information served as a decision guide for choice and placement of BMPs within the watershed. Three BMP scenarios were identified through an iterative BMP placement process. With these BMP scenarios, it was possible to reduce up to 25% of the N load. The best BMP scenario was found at a cost to performance ratio of 39.4 $/kg. The approach presented in this study can be an alternative N assessment method when the availability of data and resources limit the use of existing watershed models for water quality assessment.
Keyword: Nutrient Reduction, Load, Watershed, Best Management Practices, Spatial Decision Analysis