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.
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References
Board CGW (2017) Aquifer maps and ground water management plan
Chaturvedi R (1973) A note on the investigation of ground water resources in Western Districts of Uttar Pradesh. Annual Report, UP. Irrigation Research Institute
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
Coe JJ (1990) Conjunctive use—advantages, constraints, and examples. J Irrig Drain Eng 116(3):427–443
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)
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)
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
Government M (2018) The irrigation watering cost for Maharashtra state, for period (2018–2020). https://www.mahawrdgr.in/irrigation-management/
GSDA (2020) https://gsda.maharashtra.gov.in/english/index.php/reports
Inc L system (2020) LINGO- The modeling language and optimizer
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
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
Kang L (2019) Nonlinear safety degree flood control strategy of multi-reservoirs in upper Yangtze River. Water Resour 39(3):1–5
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)
Khare D (1994) Distributed modeling of conjunctive use in a canal command
Latif M, James LD (1992) Conjunctive water use to control waterlogging and salinization. J Water Resour Plan Manag 117(6):611–628
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
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
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
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
Paul S, Panda SN, Kumar N (2000) Optimal irrigation allocation: a multilevel approach. J Irrig Drain Eng 126(June):149–156
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
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
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
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)
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
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
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
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
Sehgal S (1973) Ground water resources of Punjab State-a recent study
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
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
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
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
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
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
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
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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
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DOI: https://doi.org/10.1007/s41062-022-00750-x