Abstract
Reducing water scarcity requires both mitigation of the increasing water pollution and adaptation to the changing availability and demand of water resources under global change. However, state-of-the-art water scarcity modeling efforts often ignore water quality and associated biogeochemical processes in the design of water scarcity reduction measures. Here, we identify cost-effective options for reducing future water scarcity by accounting for water quantity and quality in the highly water stressed and polluted Pearl River Basin in China under various socio-economic and climatic change scenarios based on the Shared Socio-economic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Our modeling approach integrates a nutrient model (MARINA-Nutrients) with a cost-optimization procedure, considering biogeochemistry and human activities on land in a spatially explicit way. Results indicate that future water scarcity is expected to increase by a factor of four in most parts of the Pearl River Basin by 2050 under the RCP8.5-SSP5 scenario. Results also show that water quality management options could half future water scarcity in a cost-effective way. Our analysis could serve as an example of water scarcity assessment for other highly water stressed and polluted river basins around the world and inform the design of cost-effective measures to reduce water scarcity.
Original language | English |
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Article number | 5669 |
Number of pages | 13 |
Journal | Nature Communications |
Volume | 15 |
Issue number | 1 |
DOIs | |
Publication status | Published - 6 Jul 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Funding
M.S. (corresponding author) was financially supported by a Talent Veni Program (016.Veni.198.001) from the Dutch Research Council (NWO). S.B was supported by INIA RTA2017-00082-00-00 and PID2020-115495RA-I00 of the Spanish Ministry for Science and Innovation, partly financed by European ERDF funds. We are grateful to Mengru Wang who provided MARINA-Nutrients data for nitrogen exports at the sub-basin scale.
Funders | Funder number |
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Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
Spanish Ministry for Science and Innovation | |
European Regional Development Fund | |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria | RTA2017-00082-00-00, PID2020-115495RA-I00 |