International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Optimum allocation of water and land resource for maximizing farm income of Jabalpur District, Madhya Pradesh, India

Author Affiliations

  • 1Department of Soil & Water Engineering, CTAE, MPUAT, Udaipur, Rajasthan, India
  • 2Department of Soil & Water Engineering, CAE, JN Krishi Vishwavidyalay, Jabalpur, MP, India

Res. J. Recent Sci., Volume 9, Issue (4), Pages 1-7, October,2 (2020)


The continuous decrease and irrational use of water resources is the key issue for the proper application of water resources in tribal area of Jabalpur district. This study attempts to propose a new aspect of optimum allocation of land and water resources in Jabalpur District. The minimum cultivated area that ensures food requirement and land constraint have a direct impact on water resources allocation. To conduct an accurate program for land and water resource allocation for water deficit area a multi- constraint linear programing model (LPM) was developed by implanting land resource as a constraint on water resources allocation which has to be considered by the demand of water resources in the agriculture sector. The results shows that increase in major crops area like rice, wheat, gram, maize and oilseeds crop areas against the reduction in sorghum, moong, and sugarcane . Existing cropping intensity of the district was 150%. To achieve the maximum profit per unit of land i.e. cropping intensity more than 200% for district, therefore an extensive measures was made for district to fix out the water demand supply gap for agriculture. In this study a user friendly Linear programing software was used to develop a model for optimum allocation of resources under seasonal and multi-crop condition for Jabalpur district. The net annual profit is increased by 9.1% under optimal allocation conditions. The sensitivity analysis of model parameter shows that the better price of crop is the most sensitive parameter followed by the crop area. The results obtained from this study will definitely help policy makers to decide how to properly utilize and promote the water and land resources for the available area.


  1. Matanga, G.B. and Marino, M.A. (1979). Irrigation planning Cropping pattern. Water Resource. Res., 15(1), 672-678., undefined, undefined
  2. Khare, D., Jat, M. K. and Sunder, J. D. (2007). Assessment of water resources allocation options: Conjunctive use planning in a link canal command. Resources, Conservation and Recycling, 51(2), 487-506. doi:10.1016/j.resconrec.2006.09.011., undefined, undefined
  3. Singh, D., Jaiswal, C., Reddy, K., Singh, R. and Bhandarkar, D. (2001). Optimal cropping pattern in a canal command area. Agricultural Water Management, 50(1), 1-8. 10.1016/s0378-3774(01)00104-4., undefined, undefined
  4. Singh, A. (2014). Optimization modelling for seawater intrusion management. J. Hydrol., 508(5), 43-52., undefined, undefined
  5. Dasa Biswadip, Singha Ajay, Pandaa Sudhindra N. and Yasuda, Hiroshi (2015). Optimal land and water resources allocation policies for sustainable irrigated agriculture. Land Use Policy, 42, 527-537., undefined, undefined
  6. Joodavi, A., Zare M. and Mahootchi, M. (2015). Development and application of a stochastic optimization model for groundwater management: crop pattern and conjunctive use consideration. Stoch Environ Res Risk Assess, 29, 1637-1648., undefined, undefined
  7. C.G.W.B. (2013). District Ground Water information booklet, Jabalpur. A report published by Central Ground Water Board, Bhopal., undefined, undefined
  8. James, G. Larry. (1988). Principles of farm irrigation Design. John Willey and Sons Publishers, United Kingdom., undefined, undefined
  9. Awasthi, M.K., Tomar, V.S., Nema, R.K., Lodhi A.S., Srivastava, R.N., Sharma, S.K. and Pyasi, S.K. (2018). A Book on Water Budgeting of Madhya Pradesh. College of Agricultural Engineering, JNKVV, Jabalpur, Madhya Pradesh, pp 1-150., undefined, undefined
  10. Gautam, V. K. and Awasthi, M.K. (2020). Evaluation of Water Resources Demand and Supply for the Districts of Central Narmada Valley Zone. Int. J. Curr. Microbiol. App. Sci., 9(1), 3043-3050. ijcmas.2020.902.350., undefined, undefined
  11. Gupta, N. (2014). Groundwater Vulnerability Assessment using DRASTIC Method in Jabalpur District of Madhya Pradesh. International Journal of Recent Technology and Engineering, 3., undefined, undefined
  12. Nazarifar, M.H., Momeni, R., M.H. Kanani and Abolhasani, A. (2017). Develop a non-linear optimization model for determining optimal cropping pattern under different water regimes. Academia Journal of Biotechnology, 5(9), 137-146. 10.15413/ajb.2017.0514., undefined, undefined
  13. Sethi Laxmi, N., Panda Sudhindra N. and Nayak, Manoj K. (2006). Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India. Agricultural Water Management, 83(1), 209-220., undefined, undefined
  14. Singh, A. (2017). Optimal allocation of water and land resources for maximizing the farm income and minimizing the irrigation-induced environmental problems. Stoch Environ Res Risk Assess, 31(2), 1147-1154., undefined, undefined
  15. Xue, X., Liao, J.,Hsing, Y.T., Huang, C.H., and Liu, F.M. Policies (2015). Land use, and water resource management in an arid oasis ecosystem. Environ. Manag. 55(1), 1036-1051., undefined, undefined
  16. Zare, M. and Koch M. (2014). Optimization of Cultivation Pattern for Maximizing Farmers, undefined, undefined