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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. Jenq-Tzong Shiau, 2021. "Analytical Water Shortage Probabilities and Distributions of Various Lead Times for a Water Supply Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3809-3825, September.
    2. 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.
    3. 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).

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