A linear dynamic programming approach to irrigation system management with depleting groundwater

Article Abstract:

A Linear Dynamic Programming (LDP) technique can be applied to models for gaging economic advantages of irrigation method development over a depleting aquifer to assist long-term form planning. An intratemporal model and an intertemporal model are developed and illustrated through tables and then applied to evaluating investments in alternative water supply distribution methods in the Texas High Plains. Results indicate that expansion of immediate irrigation intensity may hold the most economic benefits with modern, efficient systems. The models can determine discrete capital expenditure patterns and can be extended to evaluate stochastic weather effects and their relationship to irrigation policy.

Farm machinery and equipment, Methods, Models, Management, Irrigation (Agriculture), Finance, Texas, Irrigation, Water-supply, Agricultural, Agricultural water supply, Water in agriculture

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A dynamic programming approach to a class of nonpoint source pollution control problems

Article Abstract:

A dynamic programming algorithm designed to analyze soil movement can ensure water quality and reduce the costs of water treatment by facilitating the control of agricultural sediment pollution in surface waters. The algorithm models analyze the spatial characteristics of soil movement through a watershed and the impact of soil movement on reservoirs and water channels. The model solves this class of pollution control problems by generating sediment abatement cost frontiers. This information is valuable to watershed management and planning because it devises control strategies to reduce sediment deposition in water courses and can be used to identify special problem areas.

Research, Pollution, Sediment control, Control, Water quality

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