Design and Analysis of Optimal Piped Irrigation Network using CROPWAT, EPANET and Genetic Algorithm
Keywords:
CROPWAT, EPANET, Genetic Algorithm, Pawale Irrigation Project, Piped Irrigation Network.Abstract
Conventionally irrigation water is supplied to the command area through open canals. However, these open channels are subjected to high conveyance losses like evaporation, seepage, and percolation. To reduce these losses Piped Irrigation Network (PIN) is the feasible alternative to Canal Distribution Network (CDN) in the command area. PIN reduces conveyance losses substantially and thereby improves water use efficiency. In this paper, an attempt has been made to design a cost-effective PIN with micro irrigation using CROPWAT, EPANET, and Genetic Algorithm for the Pawale irrigation project, Thane, Maharashtra, India. Environmental Protection Agency Network Evaluation Tool (EPANET) is used to analyze the system, with the required minimum pressure head at demand nodes and velocity as a constraint. Discharge requirement at each demand node is calculated by using CROPWAT. The total cost of the network is the summation of the cost of all pipes in the network. The network with minimum cost is selected with the help of a Genetic Algorithm for the design. It is observed that coupling of CROPWAT model with the EPANET model and optimizing it with GA has the potential to maximize PIN in heterogeneous command areas. This study has indicated that the PIN cost with this approach is approximately 20% less than the conventional design cost.
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