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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(5): 1467-1480
DOI: https://doi.org/10.20546/ijcmas.2020.905.167


Optimization Modelling of Conjunctive Use of the Irrigation Water Resources for Agricultural Sustainability
Deepak Kumar1* and M. K. Tiwari2
1Department of Soil and Water Conservation Engineering, CAET,
JAU, Junagadh, Gujarat-362001, India
2Department of Irrigation and Drainage Engineering, CAET,
AAU, Godhra, Gujarat-389001, India
*Corresponding author
Abstract:

Agriculture is the base to all strategies for planned socio-economic development of most of the countries. Studies have shown that 40% of food production is achieved from 17% of the irrigated areas in the world. As it is not possible to expand agricultural area and possibility of increasing production per unit area of available land and water resources are minimal, it is the need of time that surface and groundwater should be used in conjunction for optimal utilization of water resources. It is imperative to optimize the good quality available water and land resources to achieve maximum agricultural revenues. The optimal allocation of resources can be achieved by using an optimization model. Linear programming technique is presented to arrive at an optimal allocation of resources for the maximization of farm income. The study area taken in this study is commanded by the 23-R, distributary which is a part of the Panam irrigation project. The present study was undertaken for optimizing the cropping pattern under different scenarios including available surface and groundwater resources for maximizing the net return in the study area using linear programming optimization technique. In this study optimum cropping pattern was proposed for maximum net return for the major crops in the distributaries. Besides farmers affinity design and existing canal water supply rate and different scenarios of groundwater and surface water were considered. It is found in this study that by using the optimization techniques the net return of the major crops such as Wheat, Maize and Fodder can be increased by 4.8, 6.7 and 11.7 times respectively compared to the existing cropping pattern in the canal distributary.


Keywords: Canal command, Crop water requirement, Linear programming, Optimization, Net profit
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How to cite this article:

Deepak Kumar and Tiwari, M. K. 2020. Optimization Modelling of Conjunctive Use of the Irrigation Water Resources for Agricultural Sustainability.Int.J.Curr.Microbiol.App.Sci. 9(5): 1467-1480. doi: https://doi.org/10.20546/ijcmas.2020.905.167