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An integrated hydro-economic modelling framework to evaluate water allocation strategies II: Scenario assessment

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  • George, Biju
  • Malano, Hector
  • Davidson, Brian
  • Hellegers, Petra
  • Bharati, Luna
  • Massuel, Sylvain

Abstract

In this paper the results of an assessment of the hydrological and economic implications of reallocating water in the Musi sub-basin, a catchment within the Krishna Basin in India, are reported. Policy makers identified a number of different but plausible scenarios that could apply in the sub-basin, involving; supplying additional urban demand from agricultural allocations of water, implementing a number of demand management strategies, changing the timing of releases for hydropower generation, changing the crops grown under irrigation, reducing existing stream flows and allowing for more environmental flows. The framework chosen to undertake this assessment was a simulation model that measures and compares the economic values of water allocation scenarios determined from a water allocation model that accounts for supplies of groundwater and surface water across a number of regions and over a variety of uses. Policy makers are provided with the range of measures on the security of the supply of water and the social costs and benefits of reallocating water between sectors and across regions within the sub-basin. Taking water from agriculture to supply urban users has a greater impact on irrigation supplies during dry years. It was also found that changing the allocation of water between sectors, by taking it away from agriculture had a large positive economic impact on the urban sector. Yet the costs involved in undertaking such a strategy results in a significant loss in the net present value of the scheme. Stream flow reductions, if significantly large (at around 20%), were found to have a large physical and economic impact on the agricultural sector. Implementing water saving strategies in Hyderabad was found to be more cost effective than taking water from agriculture, if rainwater tanks are used to achieve this. Changing the timing of hydropower flows resulted in best meeting of irrigation demand in NSLC and NSRC. Under this scenario, the crops grown under irrigation were found to have a significant economic impact on the sub-basin, but not as large as farmers undertaking crop diversification strategies, ones which result in farmers growing less rice. The security of supplying water to different agricultural zones has significantly improved under this scenario. Finally, releasing water for environmental purposes was found to have only a minor impact on the agricultural sector.

Suggested Citation

  • George, Biju & Malano, Hector & Davidson, Brian & Hellegers, Petra & Bharati, Luna & Massuel, Sylvain, 2011. "An integrated hydro-economic modelling framework to evaluate water allocation strategies II: Scenario assessment," Agricultural Water Management, Elsevier, vol. 98(5), pages 747-758, March.
  • Handle: RePEc:eee:agiwat:v:98:y:2011:i:5:p:747-758
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    References listed on IDEAS

    as
    1. George, Biju & Malano, Hector & Davidson, Brian & Hellegers, Petra & Bharati, Luna & Massuel, Sylvain, 2011. "An integrated hydro-economic modelling framework to evaluate water allocation strategies I: Model development," Agricultural Water Management, Elsevier, vol. 98(5), pages 733-746, March.
    2. repec:iwt:rerpts:h040648 is not listed on IDEAS
    3. repec:iwt:worppr:h042879 is not listed on IDEAS
    4. McCartney, Matthew P. & Arranz, Roberto, 2007. "Evaluation of historic, current and future water demand in the Olifants River Catchment, South Africa," IWMI Research Reports 61095, International Water Management Institute.
    5. Hellegers, Petra & Davidson, Brian, 2010. "Determining the disaggregated economic value of irrigation water in the Musi sub-basin in India," Agricultural Water Management, Elsevier, vol. 97(6), pages 933-938, June.
    6. repec:iwt:rerpts:h039610 is not listed on IDEAS
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    1. Davidson, Brian & Hellegers, Petra & George, Biju & Malano, Hector, 2019. "The opportunity costs of increasing reliability in irrigation systems," Agricultural Water Management, Elsevier, vol. 222(C), pages 173-181.
    2. Yu, Yang & Yu, Ruide & Chen, Xi & Yu, Guoan & Gan, Miao & Disse, Markus, 2017. "Agricultural water allocation strategies along the oasis of Tarim River in Northwest China," Agricultural Water Management, Elsevier, vol. 187(C), pages 24-36.
    3. Yang, Y.C. Ethan & Wi, Sungwook, 2018. "Informing regional water-energy-food nexus with system analysis and interactive visualization – A case study in the Great Ruaha River of Tanzania," Agricultural Water Management, Elsevier, vol. 196(C), pages 75-86.
    4. Upali Amarasinghe & Vladimir Smakhtin & Luna Bharati & Ravinder Malik, 2013. "Reallocating water from canal irrigation for environmental flows: benefits forgone in the Upper Ganga Basin in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 385-405, April.
    5. M. E. Qureshi & M. D. Ahmad & S. M. Whitten & A. Reeson & M. Kirby, 2018. "Impact of Climate Variability Including Drought on the Residual Value of Irrigation Water Across the Murray–Darling Basin, Australia," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-25, January.
    6. George, Biju & Malano, Hector & Davidson, Brian & Hellegers, Petra & Bharati, Luna & Massuel, Sylvain, 2011. "An integrated hydro-economic modelling framework to evaluate water allocation strategies I: Model development," Agricultural Water Management, Elsevier, vol. 98(5), pages 733-746, March.
    7. March, Hug & Therond, Olivier & Leenhardt, Delphine, 2012. "Water futures: Reviewing water-scenario analyses through an original interpretative framework," Ecological Economics, Elsevier, vol. 82(C), pages 126-137.
    8. Amjath-Babu, T.S. & Sharma, Bikash & Brouwer, Roy & Rasul, Golam & Wahid, Shahriar M. & Neupane, Nilhari & Bhattarai, Utsav & Sieber, Stefan, 2019. "Integrated modelling of the impacts of hydropower projects on the water-food-energy nexus in a transboundary Himalayan river basin," Applied Energy, Elsevier, vol. 239(C), pages 494-503.
    9. Rouhi Rad, Mani & Haacker, Erin M.K. & Sharda, Vaishali & Nozari, Soheil & Xiang, Zaichen & Araya, A. & Uddameri, Venkatesh & Suter, Jordan F. & Gowda, Prasanna, 2020. "MOD$$AT: A hydro-economic modeling framework for aquifer management in irrigated agricultural regions," Agricultural Water Management, Elsevier, vol. 238(C).
    10. Ibrakhimov, Mirzakhayot & Awan, Usman Khalid & George, Biju & Liaqat, Umar Waqas, 2018. "Understanding surface water–groundwater interactions for managing large irrigation schemes in the multi-country Fergana valley, Central Asia," Agricultural Water Management, Elsevier, vol. 201(C), pages 99-106.
    11. Kragt, Marit Ellen, "undated". "Integrating biophysical and economic systems in a Bayesian Network Hydro-economic framework," Working Papers 153334, University of Western Australia, School of Agricultural and Resource Economics.
    12. Alfonso Expósito, 2019. "Valuing Households’ Willingness to Pay for Water Transfers from the Irrigation Sector: A Case Study of the City of Seville (Southern Spain)," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    13. Hertzog, Thomas & Poussin, Jean-Christophe & Tangara, Bréhima & Kouriba, Indé & Jamin, Jean-Yves, 2014. "A role playing game to address future water management issues in a large irrigated system: Experience from Mali," Agricultural Water Management, Elsevier, vol. 137(C), pages 1-14.

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