Transactions of the ASAE · 2000 · 36 citations · 0 references
Natural ResourcesEnvironmental ManagementWatershed ManagementHydrologic ModelingWater Resources PlanningWatershed PlanningIntegrated Watershed ManagementIntegrated Watershed PlanningSpatial OptimizationWatershed ModelingDynamic Spatial OptimizationEconomic Decision AnalysisSpatial Optimization ModelsWater Quality ControlWater Quality OptimizationWatershed Management PlanningWatershed Scale Water Quality ManagementWatershed Water Quality Management
This article develops a dynamic spatial optimization algorithm for watershed modeling that reducesdimensionality and incorporates multiple objectives. Spatial optimization methods, which include spatially linear andnonlinear formulations, are applied to an experimental watershed and tested against a full enumeration frontier. Theintegrated algorithm includes biophysical simulation and economic decision-making within a geographic informationsystem. It was observed that it is possible to achieve economic and water quality objectives in a watershed by spatiallyoptimizing site-specific practices. It was observed that a spatially diversified watershed plan could achieve multiple goalsin a watershed. The algorithm can be used to develop efficient policies towards environmental management of watershedsto address water quality issues by identifying optimal tradeoffs across objectives.