Integrated spatio-temporal and environmental modelling of water scarcity in Saudi Arabia using shared socioeconomic pathways

Saudi Arabia, one of the driest nations globally, faces increasing water scarcity due to rapid population growth, urbanization, industrialization, agricultural expansion, and the impacts of climate change and global warming. This study assesses future water demand, supply, and stress in the Kingdom for the years 2030, 2050, and 2080 by applying three combinations of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs): SSP 1 RCP 2.6 (optimistic), SSP 3 RCP 7.0 (business as usual), and SSP 5 RCP 8.5 (pessimistic). The analysis includes baseline water depletion, interannual and seasonal variability, groundwater depletion, and water stress trends. Results demonstrate a clear temporal increase in water demand and stress, accompanied by diminishing water supply across all scenarios, with the optimistic scenario yielding the most favourable outcomes. Surprisingly, by 2080, the pessimistic scenario showed lower water demand, higher water supply, and reduced water stress compared to the business-as-usual model, likely driven by a projected decrease in population and cultivated area by century's end. Although water demand distribution remains relatively stable across time and scenarios, significant changes in water supply and stress patterns emerge. These findings suggest that Saudi Arabia will face escalating water scarcity, highlighting the urgent need for effective adaptation and mitigation strategies by policymakers to avert future water crises.

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Publication Details

Journal
Environmental Challenges
Published
2025-04-12
DOI
https://doi.org/10.1016/j.envc.2025.101151
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21
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article

Integrated spatio-temporal and environmental modelling of water scarcity in Saudi Arabia using shared socioeconomic pathways

Mohammad Suhail, G. N. Tanjina Hasnat, Mohd Nazish Khan, Alikul Xudayberdiyevich Ravshanov et al.
2 citations
Environmental Challenges
Climate variability and models
2.21
article

Integrated spatio-temporal and environmental modelling of water scarcity in Saudi Arabia using shared socioeconomic pathways

Mohammad Suhail, G. N. Tanjina Hasnat, Mohd Nazish Khan, Alikul Xudayberdiyevich Ravshanov, Ai Likun, Usmanov Marufdjan
article en
2 citations

Abstract

Saudi Arabia, one of the driest nations globally, faces increasing water scarcity due to rapid population growth, urbanization, industrialization, agricultural expansion, and the impacts of climate change and global warming. This study assesses future water demand, supply, and stress in the Kingdom for the years 2030, 2050, and 2080 by applying three combinations of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs): SSP 1 RCP 2.6 (optimistic), SSP 3 RCP 7.0 (business as usual), and SSP 5 RCP 8.5 (pessimistic). The analysis includes baseline water depletion, interannual and seasonal variability, groundwater depletion, and water stress trends. Results demonstrate a clear temporal increase in water demand and stress, accompanied by diminishing water supply across all scenarios, with the optimistic scenario yielding the most favourable outcomes. Surprisingly, by 2080, the pessimistic scenario showed lower water demand, higher water supply, and reduced water stress compared to the business-as-usual model, likely driven by a projected decrease in population and cultivated area by century's end. Although water demand distribution remains relatively stable across time and scenarios, significant changes in water supply and stress patterns emerge. These findings suggest that Saudi Arabia will face escalating water scarcity, highlighting the urgent need for effective adaptation and mitigation strategies by policymakers to avert future water crises.

Environmental ChallengesVol. 19
Samarkand State University named after Sharof Rashidov (UZ), Institute of Tibetan Plateau Research (CN), University of Chittagong (BD)
Clean water and sanitation
Openalex Percentile: Top 14%
Climate variability and models
2.21
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