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Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm

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Abstract

The multiple objectives and interests of various stack holders’ in reservoir operation bring forward many solutions to the problem. Possibly due to this complexity, in practice, the operating rules to be derived not only from heuristic approaches such as rules of thumb, rule curve, operator experience and engineering judgments but also through well defined mathematical models. An attempt is made to study the possibility of changing the crop (paddy crop instead of groundnut) and crop starting period for Sathanur irrigation system, India. This system is considered as one of the water-deficit irrigation system where the water is collected in the reservoir during north-east monsoon (Oct–Dec) and crops are cultivated after the rainfall season. Even though the first priority is to supply drinking water to Tiruvanamalai town and nearby villages, the quantity required for drinking water is very meagre when compared to irrigation demands. Genetic algorithm (GA) has been used to find the optimal crop-starting period that can give maximum performance and net benefit from the system. The results of the model study indicate that starting the cultivation of paddy crop between 1st and 10th of October every year provides maximum net benefit than starting the cultivation between 11th and 20th of December as practiced now.

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References

  • Ahmadi A, Karamouz M, Moridi A (2010) Robust method for identifying optimal reservoir operation strategies using deterministic and stochastic formulation. Water Resour Manage. doi:10.1007/s11269-009-9566-3 (Published online 05 January 2010, Springer Publications)

    Google Scholar 

  • Ahmed JA, Sarma AK (2005) Genetic algorithm for optimal operating policy of a multipurpose reservoir. Water Resour Manage 19:145–161. doi:10.1007/s11269-005-2704–7 (Springer Publications)

    Article  Google Scholar 

  • Allen GA, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization, Rome, Italy

  • Cancelliere A, Giuliano G, Ancarani A, Rossi G (2002) A neural network approach for deriving irrigation reservoir operating rules. Water Resour Manage 16:71–88 (Kluwer Academic Publishers)

    Article  Google Scholar 

  • Davis L (ed) (1991) Handbook of genetic algorithms. Van Nostrand Reinhold, New York

    Google Scholar 

  • Deb K (1995) Optimization for engineering design; Algorithms and examples. Prentice Hall Publications, New Delhi

    Google Scholar 

  • Forrest S (1993) Genetic algorithms: principles of natural selection applied to computation. Science 261(13):872–878

    Article  Google Scholar 

  • Goldberg DE (1989) Genetic algorithm in search, optimization, and machine learning, 2nd edn. Addison-Wesley, Reading

    Google Scholar 

  • Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor

    Google Scholar 

  • Holland JH (1992) Adaption in natural and artificial systems, 2nd edn. Massachusetts Institute of Technology, Cambridge

    Google Scholar 

  • Jayatilaka CJ, Sakthivadivel R, Shinogi Y, Makin IW, Witharana P (2003) A simple water balance modeling approach for determining water availability in an irrigation tank cascade system. J Hydrol 273:81–102

    Article  Google Scholar 

  • Jothiprakash V, Shanthi G (2006) Single reservoir operating using genetic algorithm. Water Resour Manage 20:917–929. doi:10.1007/s11269-005-9014-y (Springer Publications)

    Article  Google Scholar 

  • Kumar ND, Reddy JM (2006) Ant colony optimization for multi-purpose reservoir operation. Water Resour Manage 20:879–898. doi:10.1007/s11269-005-9012-0 (Springer Publications)

    Article  Google Scholar 

  • Kumar ND, Singh FB, Raju KS (2009) Optimal reservoir operation for flood control using folded dynamic programming. Water Resour Manage. doi:10.1007/s11269-009-9485-3 (Published online 25 July 2009, Springer Publications)

    Google Scholar 

  • Labadie JW (2004) Optimal operation of multi reservoir systems: state of art review. J Water Resour Plan Manage 130(2):93–111

    Article  Google Scholar 

  • Li QF, Gowing J (2005) A daily water balance modelling approach for simulating performance of tank-based irrigation system. Water Resour Manage 19:211–231. doi:10.1007/s11269-005-2702-9 (Springer Publications)

    Article  Google Scholar 

  • Neelakantan TR, Pundarikanthan NV (2000) Hedging rule optimization for water supply reservoir system. Water Resour Manage 13:409–426 (Kluwer Academic Publishers)

    Article  Google Scholar 

  • PWD (1990) Draft report on revised operational rule for Sathanur Dam and its canals. National Water Management Project, Public Works Department, Govt of Tamilnadu, India, pp 1–20

  • Raju SK, Kumar ND (2004) Irrigation planning using genetic algorithms. Water Resour Manage 18:163–176 (Kluwer Academic Publishers)

    Article  Google Scholar 

  • Safavi HR, Darzi F, Marino MA (2009) Simulation–optimization modeling of conjunctive use of surface water and groundwater. Water Resour Manage. doi:10.1007/s11269-009-9533-z (Published online 25 November 2009, Springer Publications)

    Google Scholar 

  • Santhi C, Pundarikanthan NV (1997) Performance evaluation of the water delivery system of Sathanur irrigation project. J Indian Water Resour Soc 17(3):8–12

    Google Scholar 

  • Santhi C, Pundarikanthan NV (1999) Application of management information system performance in developing country. Water Int 24(3):229–239

    Article  Google Scholar 

  • Santhi C, Pundarikanthan NV (2000) A new planning model for canal scheduling of rotational irrigation. J Agric Water Management 43:327–343

    Article  Google Scholar 

  • Santhi C, Neelakantan TR, Pundarikanthan NV, Srinivasaprasad P (2002) Distributary scheduling of rotational irrigation system with partial canal gate openings. J Indian Water Resour Soc 22(2):47–56

    Google Scholar 

  • Simonovic SP (1992) Reservoir systems analysis: closing gap between theory and practice. J Water Resour Plan Manage 118(3):262–280

    Article  Google Scholar 

  • Teegavarapu RSV, Simonovic SP (2002) Optimal operation of a reservoir system using simulated annealing. Water Resour Manage 16:401–428 (Kluwer Academic Publishers)

    Article  Google Scholar 

  • Wurbs RA (1993) Reservoir-system simulation and optimization models. J Water Resour Plan Manage 119(4):455–472

    Article  Google Scholar 

  • Xia CJ, Qiang H, Yi-Min W (2005) Genetic algorithms for optimal reservoir dispatching. Water Resour Manage 19:321–331. doi:10.1007/s11269-005-3018-5 (Springer Publications)

    Article  Google Scholar 

  • Yeh W (1985) Reservoir management and operations models: a state of-the-art review. Water Resour Res 21(12):1797–1818

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Civil Engineering, SASTRA University, Thanjavur, 613 401, India

    K. Ramakrishnan, C. R. Suribabu & T. R. Neelakantan

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  1. K. Ramakrishnan
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  2. C. R. Suribabu
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  3. T. R. Neelakantan
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Correspondence to K. Ramakrishnan.

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Ramakrishnan, K., Suribabu, C.R. & Neelakantan, T.R. Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm. Water Resour Manage 24, 3835–3851 (2010). https://doi.org/10.1007/s11269-010-9636-6

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  • DOI: https://doi.org/10.1007/s11269-010-9636-6

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