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Integrated hydrologic–economic decision support system for groundwater use confronting climate change uncertainties in the Tunuyán River basin, Argentina

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  • Flavia Tromboni
  • Lucia Bortolini
  • José Morábito

Abstract

This study presents an integrated hydrologic–economic model as decision support system for groundwater use and incorporates uncertainties of climate change. The model was developed with the Vensim software (Ventana Systems) for system dynamic simulations. The software permitted the integration of economic variables along with hydrologic variables, in a unified format with the aim of evaluating the economic impacts of climate change on arid environments. To test the model, we applied it in one of the upper Tunuyán River sub-basin, located in the Mendoza Province (Argentina), where irrigation comes from groundwater. The model defines the best mix of crops and the total land use required to maximize the total river sub-basin monetary income, considering as a limit the amount of water that does not exceed the natural annual aquifer recharge. To estimate the impacts of climatic changes, four scenarios were compared: the business as usual (with the number of existing wells) in a dry year with a temperature increase of 4 °C; the business as usual in a wet year with an increase in temperature of 1.1 °C; an efficient use of wells in a dry year and a temperature increase of 4 °C and an efficient use of wells in a wet year with a temperature increase of 1.1 °C. Outputs calculated by the model were: land use per crop, total sub-basin net benefit, total sub-basin water extraction, water extraction limit depending on river discharge and total number of wells required to irrigate the entire area. Preliminary results showed that the number of existing wells exceeded the optimized number of wells required to sustainably irrigate the entire river sub-basin. Results indicated that in an average river discharge year, if wells were efficiently used, further rural development would be possible, until the limit of 350 million m 3 of water extraction per year was reached (650 million m 3 for a wet year and 180 million m 3 for a dry year). The unified format and the low cost of the software license make the model a useful tool for Water Resources Management Institutions, particularly in developing countries. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Flavia Tromboni & Lucia Bortolini & José Morábito, 2014. "Integrated hydrologic–economic decision support system for groundwater use confronting climate change uncertainties in the Tunuyán River basin, Argentina," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(6), pages 1317-1336, December.
    • Handle: RePEc:spr:endesu:v:16:y:2014:i:6:p:1317-1336
    DOI: 10.1007/s10668-014-9521-1
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    References listed on IDEAS

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    1. Ines Winz & Gary Brierley & Sam Trowsdale, 2009. "The Use of System Dynamics Simulation in Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(7), pages 1301-1323, May.
    2. Rosegrant, M. W. & Ringler, C. & McKinney, D. C. & Cai, X. & Keller, A. & Donoso, G., 2000. "Integrated economic-hydrologic water modeling at the basin scale: the Maipo river basin," Agricultural Economics, Blackwell, vol. 24(1), pages 33-46, December.
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    5. Ward, Frank A. & Pulido-Velázquez, Manuel, 2008. "Efficiency, equity, and sustainability in a water quantity-quality optimization model in the Rio Grande basin," Ecological Economics, Elsevier, vol. 66(1), pages 23-37, May.
    6. McKinney, D. C. & Cai, X. & Rosegrant, M. W. & Ringler, C. & Scott, C. A., 1999. "Modeling water resources management at the basin level: review and future directions," IWMI Books, Reports H024075, International Water Management Institute.
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    1. Li He & Feng Shao & Lixia Ren, 2021. "Sustainability appraisal of desired contaminated groundwater remediation strategies: an information-entropy-based stochastic multi-criteria preference model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1759-1779, February.

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