Deriving Operation Policy for Multiple Reservoir System under Irrigation using LPM Model

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Abstract

The specified multiple reservoir system is located in the Rajkot district part of Gujarat. As it witnesses fewer, severe, moderate or normal drought, drought mitigation measures and proper reservoir operation policy should help to reduced acute shortage of water for irrigation as well as water supply. It is also observed that improper water resources management has resulted in reduced yield of crop and hence net income of farmers. The linear programming (LP) as optimization technique practical and practicable optimizes water resources system, Because of its simplicity and easily solved by using computer software LINGO. Therefore, it has vital significance to implement in day to day practice of reservoir operation by water resources planning and management sector. The linear programming monthly (LPM) models developed for different nine dependability levels of inflow for multiple as well as individual reservoir operations to derive maximum net benefit (NB) over year from command area. Most of reservoir operated at 75% dependability level in normal year. The NB and total optimal crop area increased by 4.2% and 8.0 % respectively in multiple reservoirs operation as compared to individual reservoir operation at 75% dependability level of inflow. The irrigation intensity is increased in command area of Nyari-2, Aji-3 reservoir in multiple reservoir operation as compared to individual reservoir operation due to augmentation of low cost, low water requiring crops (Rajko, Juvar/Bajry/Maize, Wheat, and Onion) which will reduce impact of drought in locality. Based on the results, it is concluded that reservoirs are operated in multiple reservoir systems at 75% dependability level of inflow and derived optimum operation policy for optimum utilization of limited freshwater of the reservoir in a drought-prone area.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

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