Application of Multicriteria Decision Analysis with A Priori Knowledge to Identify Optimal Nonpoint Source Pollution Control Plans

Author:

Ahmadi Mehdi1,Arabi Mazdak2,Fontane Darrell G.3,Engel Bernard A.4

Affiliation:

1. Postdoctoral Research Associate, Spatial Science Laboratory, Texal Agrilife Research, Texas A&M Univ., 1500 Research Plaza, College Station, TX 77843; formerly, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523 (corresponding author).

2. Associate Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523.

3. Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523.

4. Professor and Head, Dept. of Agricultural and Biological Engineering, Purdue Univ., West Lafayette, IN 47907.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Reference41 articles.

1. A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices

2. Impact of climate change on diffuse pollutant fluxes at the watershed scale

3. Cost-effective allocation of watershed management practices using a genetic algorithm

4. Arnold J. G. Kiniry J. R. Srinivasan R. Williams J. R. Haney E. B. and Neitsch S. L. (2011). “Soil and water assessment tool input/output file documentation version 2009.” Rep. No. 365 Texas Water Research Institute Texas A&M Univ. College Station TX 643.

5. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT

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