Waiting
Elaborazione accesso...

Trial ends in Request Full Access Tell Your Colleague About Jove
Journal / Biology / Spatial Multiobjective Optimization of…
JoVE Journal
Biology

È necessario avere un abbonamento a JoVE per visualizzare questo Contenuto. Accedi o inizia la tua prova gratuita.

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

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

Article DOI: 10.3791/4009-v • 11:53 min • December 9th, 2012
December 9th, 2012 •
1, 2, 2, 2, 3, 4, 4, 2
1School of Environmental and Forest Sciences, University of Washington, 2Center for Agricultural and Rural Development, Department of Economics, Iowa State University, 3Department of Civil, Architectural, and Environmental Engineering, North Carolina A&T University, 4Iowa Geological and Water Survey

Capitoli

Riepilogo
Automatic Translation

This work demonstrates an integration of a water quality model with an optimization component utilizing evolutionary algorithms to solve for optimal (lowest-cost) placement of agricultural conservation practices for a specified set of water quality improvement objectives. The solutions are generated using a multi-objective approach, allowing for explicit quantification of tradeoffs.

Tags

Spatial Multiobjective Optimization Agricultural Conservation Practices SWAT Model Evolutionary Algorithm Cost-efficient Targeting Water Quality Goals Watershed Management Traditional Economics Methods Off-site Impacts On-site Pollution Complex Biophysical Processes Physically-based Models Simulation-optimization Framework Combinatorial Nature Candidate Solutions Stochastic Operators
Read Article

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter