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

DOI:
10.3791/4009-v

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11:53 min

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December 09, 2012

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, , , , , , ,
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

Capítulos

  • 00:05Título
  • 02:48Selection of Optimization Parameters
  • 06:54Generating Output
  • 09:02Results: Optimization of Agricultural Conservation Practices
  • 11:31Conclusion

Summary

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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 OptimizationAgricultural Conservation PracticesSWAT ModelEvolutionary AlgorithmCost-efficient TargetingWater Quality GoalsWatershed ManagementTraditional Economics MethodsOff-site ImpactsOn-site PollutionComplex Biophysical ProcessesPhysically-based ModelsSimulation-optimization FrameworkCombinatorial NatureCandidate SolutionsStochastic Operators

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