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Related Experiment Video

Updated: May 17, 2026

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Published on: March 6, 2014

Model for prioritizing best management practice implementation: sediment load reduction.

Taeil Jang¹, George Vellidis, Jeffrey B Hyman

¹Department of Rural Construction Engineering, Chonbuk National University, Jeonju-si, Jeonbuk 561-756, Republic of Korea.

Environmental Management

|November 13, 2012

Summary

This study developed a synoptic model to prioritize watersheds for agricultural best management practices (BMPs). The model identifies areas where BMPs yield the greatest sediment reduction per conservation dollar, optimizing water quality improvement investments.

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Last Updated: May 17, 2026

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

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Published on: March 6, 2014

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Environmental Science
Water Resource Management
Agricultural Engineering

Background:

Resource allocation for water quality improvement is challenging.
The synoptic approach offers geographic prioritization using benefit-cost analysis.
Previous applications focused on wetland restoration.

Purpose of the Study:

Develop a synoptic model for prioritizing agricultural best management practices (BMPs) implementation in watersheds.
Optimize BMP investment for maximum sediment load reduction per conservation dollar.
Provide a tool for water quality improvement planning.

Main Methods:

Developed a synoptic model integrating benefit-cost framework and functional criteria.
Applied the model to prioritize watersheds for BMP implementation.
Tested the model in the Little River Experimental Watershed (LREW) representing the southeastern coastal plain.

Main Results:

The model effectively represents physical drivers of erosion and sediment loading.
The model is responsive to social and economic drivers, indicating suitability for larger scales.
Prioritization maps visually identify high-impact watersheds for BMP implementation.

Conclusions:

The developed synoptic model is a valuable tool for prioritizing BMP implementation to reduce sediment load.
The model's effectiveness is demonstrated in the LREW, validating its application.
Resource managers can use the model for strategic planning to maximize water quality benefits from conservation investments.