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A probabilistic assessment of agricultural water scarcity in a semi-arid and snowmelt-dominated river basin under climate change

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  • Moursi, Hossam
  • Kim, Daeha
  • Kaluarachchi, Jagath J.

Abstract

Water resources planning and management is crucial and challenging in semi-arid regions to minimize water scarcity. Potential impacts due to climate change are a concern to water managers and stakeholders in semi-arid river basins with limited water availability. This study provides a probabilistic assessment of climate change impacts on water scarcity in the Sevier River Basin of Utah, which has a snowmelt-driven water supply and high agricultural water demands, using a decision-scaling framework. The methodology consists of a bottom-up approach that uses climate response functions, together with projections from 31 general circulation models (GCMs), to assess vulnerability to water scarcity for 2000–2099. Water scarcity is defined using an index comparing water availability to crop water demand predicted by the AquaCrop model from the Food and Agriculture Organization. Results showed that off-season precipitation is the most sensitive factor affecting water scarcity in the basin, followed by precipitation and temperature during the growing seasons. The GCM projections of temperature and precipitation suggest an increasing availability of water for agriculture in the basin. Still, a considerable risk probability of agricultural water shortage was found in years 2025 through 2049 with the emission scenario RCP4.5, suggesting the need for adaptation and mitigation strategies. The bottom-up decision scaling approach used here with a wide range of GCMs was practical to explore climate risk to agricultural water scarcity given the simplicity and minimal computational requirement.

Suggested Citation

  • Moursi, Hossam & Kim, Daeha & Kaluarachchi, Jagath J., 2017. "A probabilistic assessment of agricultural water scarcity in a semi-arid and snowmelt-dominated river basin under climate change," Agricultural Water Management, Elsevier, vol. 193(C), pages 142-152.
    • Handle: RePEc:eee:agiwat:v:193:y:2017:i:c:p:142-152
    DOI: 10.1016/j.agwat.2017.08.010
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    References listed on IDEAS

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    1. Kim, Daeha & Kaluarachchi, Jagath, 2015. "Validating FAO AquaCrop using Landsat images and regional crop information," Agricultural Water Management, Elsevier, vol. 149(C), pages 143-155.
    2. D. A. Stainforth & T. Aina & C. Christensen & M. Collins & N. Faull & D. J. Frame & J. A. Kettleborough & S. Knight & A. Martin & J. M. Murphy & C. Piani & D. Sexton & L. A. Smith & R. A. Spicer & A. , 2005. "Uncertainty in predictions of the climate response to rising levels of greenhouse gases," Nature, Nature, vol. 433(7024), pages 403-406, January.
    3. Aiguo Dai, 2013. "Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(1), pages 52-58, January.
    4. Aiguo Dai, 2013. "Erratum: Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(2), pages 171-171, February.
    5. Stricevic, Ruzica & Cosic, Marija & Djurovic, Nevenka & Pejic, Borivoj & Maksimovic, Livija, 2011. "Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower," Agricultural Water Management, Elsevier, vol. 98(10), pages 1615-1621, August.
    6. Justin Sheffield & Eric F. Wood & Michael L. Roderick, 2012. "Little change in global drought over the past 60 years," Nature, Nature, vol. 491(7424), pages 435-438, November.
    7. Araya, A. & Habtu, Solomon & Hadgu, Kiros Meles & Kebede, Afewerk & Dejene, Taddese, 2010. "Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare)," Agricultural Water Management, Elsevier, vol. 97(11), pages 1838-1846, November.
    8. Julie Shortridge & Seth Guikema & Ben Zaitchik, 2017. "Robust decision making in data scarce contexts: addressing data and model limitations for infrastructure planning under transient climate change," Climatic Change, Springer, vol. 140(2), pages 323-337, January.
    9. Kim, Daeha & Kaluarachchi, Jagath J., 2016. "A risk-based hydro-economic analysis for land and water management in water deficit and salinity affected farming regions," Agricultural Water Management, Elsevier, vol. 166(C), pages 111-122.
    10. Chennat Gopalakrishnan, 1973. "The Doctrine of Prior Appropriation and Its Impact on Water Development," American Journal of Economics and Sociology, Wiley Blackwell, vol. 32(1), pages 61-72, January.
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    2. Shen, Jinlong & Zhao, Yekun & Song, Jianfeng, 2022. "Analysis of the regional differences in agricultural water poverty in China: Based on a new agricultural water poverty index," Agricultural Water Management, Elsevier, vol. 270(C).
    3. Elias Ariel Moura & Vander Mendonça & Vladimir Batista Figueirêdo & Luana Mendes Oliveira & Marlenildo Ferreira Melo & Toni Halan Silva Irineu & Alex Danilo Monte Andrade & Edvan Alves Chagas & Pollya, 2023. "Irrigation Depth and Potassium Doses Affect Fruit Yield and Quality of Figs ( Ficus carica L.)," Agriculture, MDPI, vol. 13(3), pages 1-16, March.

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