Skip to main content
Log in

Optimization of conjunctive use of surface and groundwater by using LINGO and PSO in water resources management

  • Technical paper
  • Published:
Innovative Infrastructure Solutions Aims and scope Submit manuscript

Abstract

Optimization of conjunctive use of surface and groundwater has become a necessity aid in sustainable irrigation methods that supposed to opt in Khatav taluka of Maharashtra state, India. The study area falls under semi-arid condition and edged with water stressed which is having average annual rainfall of 560 mm. The main objective of this study was to formulate the model of conjunctive use of water and to restrict the water scarcity at the minimal extent along with maximum yields from agricultural practices. The set objectives were achieved by joint optimization techniques of LINGO and particle swarm optimization (PSO) where model has been run by using LINGO and validated by PSO. The conjunctive use of water was employed to overcome various constraints like volume of water, depth of groundwater, gross area of cultivation and total area under irrigation. The results of present study show its feasibility and the ease of applicability in such water sacred area, where conjunctive use of water in different seasons saves the surface water approximately up to 49% in the hot season, 27% in Kharif, and 32% in Rabi seasons. This study inferred that the cropping pattern has to be in ordered manner such that it can balance the available water resources. This can be done by lowering of crop productions other than sugarcane and onion by 12–15% which leads to increment of overall net returns approximately by 8% and more during above mentioned seasons.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Source: GSDA [9])

Similar content being viewed by others

References

  1. Board CGW (2017) Aquifer maps and ground water management plan

  2. Chaturvedi R (1973) A note on the investigation of ground water resources in Western Districts of Uttar Pradesh. Annual Report, UP. Irrigation Research Institute

  3. Chen HT, Wang WC, Chen XN, Qiu L (2020) Multi-objective reservoir operation using particle swarm optimization with adaptive random inertia weights. Water Sci Eng 13(2):136–144. https://doi.org/10.1016/j.wse.2020.06.005

    Article  Google Scholar 

  4. Coe JJ (1990) Conjunctive use—advantages, constraints, and examples. J Irrig Drain Eng 116(3):427–443

    Article  Google Scholar 

  5. Devi S, Srivastava DK, Mohan C (2005) Optimal water allocation for the Transboundary Subernarekha River, India. J Water Resour Plan Manag 131(4):253–269. https://doi.org/10.1061/(asce)0733-9496(2005)131:4(253)

    Article  Google Scholar 

  6. Falkenmark M, Rockström J (2006) The new blue and green water paradigm: breaking new ground for water resources planning and management. J Water Resour Plan Manag 132(3):129–132. https://doi.org/10.1061/(asce)0733-9496(2006)132:3(129)

    Article  Google Scholar 

  7. Golbon-Haghighi MH, Saeidi-Manesh H, Zhang G, Zhang Y (2018) Pattern synthesis for the cylindrical polarimetric phased array radar (CPPAR). Progress Electromag Res M 66(January):87–98. https://doi.org/10.2528/PIERM18011016

    Article  Google Scholar 

  8. Government M (2018) The irrigation watering cost for Maharashtra state, for period (2018–2020). https://www.mahawrdgr.in/irrigation-management/

  9. GSDA (2020) https://gsda.maharashtra.gov.in/english/index.php/reports

  10. Inc L system (2020) LINGO- The modeling language and optimizer

  11. Jahandideh-Tehrani M, Bozorg-Haddad O, Loáiciga HA (2020) Application of particle swarm optimization to water management: an introduction and overview. Environ Monit Assess. https://doi.org/10.1007/s10661-020-8228-z

    Article  Google Scholar 

  12. Janga Reddy M, Nagesh Kumar D (2020) Evolutionary algorithms, swarm intelligence methods, and their applications in water resources engineering: a state-of-the-art review. H2Open J 3(1):135–188. https://doi.org/10.2166/h2oj.2020.128

    Article  Google Scholar 

  13. Kang L (2019) Nonlinear safety degree flood control strategy of multi-reservoirs in upper Yangtze River. Water Resour 39(3):1–5

    Google Scholar 

  14. Karamouz M, Kerachian R, Zahraie B (2004) Monthly water resources and irrigation planning: case study of conjunctive use of surface and groundwater resources. J Irrig Drain Eng 130(5):391–402. https://doi.org/10.1061/(asce)0733-9437(2004)130:5(391)

    Article  Google Scholar 

  15. Khare D (1994) Distributed modeling of conjunctive use in a canal command

  16. Latif M, James LD (1992) Conjunctive water use to control waterlogging and salinization. J Water Resour Plan Manag 117(6):611–628

    Article  Google Scholar 

  17. Mainuddin M, Das Gupta A, Onta PR (1997) Optimal crop planning model for an existing groundwater irrigation project in Thailand. Agric Water Manag 33(1):43–62. https://doi.org/10.1016/S0378-3774(96)01278-4

    Article  Google Scholar 

  18. Men B, Yin S (2018) Application of LINGO in water resources optimization teaching based on integer programming. Creat Educ 09(15):2516–2524. https://doi.org/10.4236/ce.2018.915190

    Article  Google Scholar 

  19. Montazar A, Riazi H, Behbahani SM (2010) Conjunctive water use planning in an irrigation command area. Water Resour Manage 24(3):577–596. https://doi.org/10.1007/s11269-009-9460-z

    Article  Google Scholar 

  20. Patel JN, Bhavsar PN (2021) Optimal distribution of water resources for long-term agricultural sustainability and maximization recompense from agriculture. ISH J Hydr Eng 27(1):110–116. https://doi.org/10.1080/09715010.2018.1505560

    Article  Google Scholar 

  21. Paul S, Panda SN, Kumar N (2000) Optimal irrigation allocation: a multilevel approach. J Irrig Drain Eng 126(June):149–156

    Article  Google Scholar 

  22. Peralta RC, Cantiller RRA, Terry JE (1995) Optimal large-scale conjunctive water-use planning: case study. J Water Resour Plann Manag 121(December):471–478

    Article  Google Scholar 

  23. Ramesh H, Mahesh A (2012) Conjunctive use of surface water and groundwater for sustainable water management. Sustain Develop - Energy, Eng Technol - Manuf Environ. https://doi.org/10.5772/29493

    Article  Google Scholar 

  24. Rao K (1970) Hydro meteorological aspects of estimating ground water potential. Seminar on ground water potential in hard rock areas, Bangalore. Geol Soci Ind 1(1):1–18

    Google Scholar 

  25. Rao SVN, Bhallamudi SM, Thandaveswara BS, Mishra GC (2004) Conjunctive use of surface and groundwater for coastal and deltaic systems. J Water Resour Plan Manag 130(3):255–267. https://doi.org/10.1061/(asce)0733-9496(2004)130:3(255)

    Article  Google Scholar 

  26. Regulwar DG, Pradhan VS (2013) Irrigation planning with conjunctive use of surface and groundwater using fuzzy resources. J Water Resour Prot 05(08):816–822. https://doi.org/10.4236/jwarp.2013.58082

    Article  Google Scholar 

  27. Rezaei F, Safavi HR, Zekri M (2017) A hybrid fuzzy-based multi-objective PSO algorithm for conjunctive water use and optimal multi-crop pattern planning. Water Resour Manage 31(4):1139–1155. https://doi.org/10.1007/s11269-016-1567-4

    Article  Google Scholar 

  28. Safavi HR, Darzi F, Mariño MA (2010) Simulation-optimization modeling of conjunctive use of surface water and groundwater. Water Resour Manage 24(10):1965–1988. https://doi.org/10.1007/s11269-009-9533-z

    Article  Google Scholar 

  29. Safavi HR, Esmikhani M (2013) Conjunctive use of surface water and groundwater: application of support vector machines (SVMs) and genetic algorithms. Water Resour Manage 27(7):2623–2644. https://doi.org/10.1007/s11269-013-0307-2

    Article  Google Scholar 

  30. Sehgal S (1973) Ground water resources of Punjab State-a recent study

  31. Sharif M, Swamy VSV (2014) Development of LINGO-based optimisation model for multi-reservoir systems operation. Int J Hydrol Sci Technol 4(2):126–138. https://doi.org/10.1504/IJHST.2014.066440

    Article  Google Scholar 

  32. Singh A (2014) Conjunctive use of water resources for sustainable irrigated agriculture. J Hydrol 519:1688–1697. https://doi.org/10.1016/j.jhydrol.2014.09.049

    Article  Google Scholar 

  33. Singh A, Panda SN, Saxena CK, Verma CL, Uzokwe VNE, Krause P, Gupta SK (2016) Optimization modeling for conjunctive use planning of surface water and groundwater for irrigation. J Irrig Drain Eng 142(3):04015060. https://doi.org/10.1061/(asce)ir.1943-4774.0000977

    Article  Google Scholar 

  34. Tian Y, Zheng Y, Wu B, Wu X, Liu J, Zheng C (2015) Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture. Environ Model Softw 63:170–184. https://doi.org/10.1016/j.envsoft.2014.10.011

    Article  Google Scholar 

  35. Timani B, Peralta R (2017) Aggregated surrogate simulator for groundwater-surface water management via simulation-optimization modeling: theory, development and tests. Environ Model Softw 96:210–231. https://doi.org/10.1016/j.envsoft.2017.06.014

    Article  Google Scholar 

  36. Yang CC, Chang LC, Chen CS, Yeh MS (2009) Multi-objective planning for conjunctive use of surface and subsurface water using genetic algorithm and dynamics programming. Water Resour Manage 23(3):417–437. https://doi.org/10.1007/s11269-008-9281-5

    Article  Google Scholar 

  37. Yousefi M, Banihabib ME, Soltani J, Roozbahani A (2018) Multi-objective particle swarm optimization model for conjunctive use of treated wastewater and groundwater. Agric Water Manag 208:224–231. https://doi.org/10.1016/j.agwat.2018.06.025

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ranjeet Sabale.

Ethics declarations

Conflict of interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sabale, R., Jose, M. Optimization of conjunctive use of surface and groundwater by using LINGO and PSO in water resources management. Innov. Infrastruct. Solut. 7, 135 (2022). https://doi.org/10.1007/s41062-022-00750-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41062-022-00750-x

Keywords

Navigation