Future evolution characteristics of hydrological drought in the Yuanjiang River Basin under China's dual-carbon scenarios

ABSTRACT As the main stem of the Yuanjiang–Red River, the Yuanjiang River has frequently experienced hydrological droughts in recent years. To reveal the future hydrological drought evolution characteristics of the Yuanjiang River Basin under the dual-carbon scenarios, this study innovatively employed the SWAT model, combined with the SRI, run theory, and Mann–Kendall test, to analyze these characteristics under the dual-carbon scenarios (SSP1-2.6, SSP2-4.5) and the high-carbon scenario (SSP5-8.5) for the future period (2026–2060), in line with China's carbon peaking and neutrality targets. Results showed that under dual-carbon scenarios, the annual and monthly runoff of the basin would increase, hydrological drought would decrease, and all sub-basins would become significantly wetter, compared with the baseline period (1981–2020). Drought duration, severity, and intensity would all decrease, with the reduction magnitude of SSP1-2.6 > SSP2-4.5. Under the high-carbon scenario, the majority of sub-basins would become significantly drier, and drought characteristics would generally increase compared with the baseline (except for individual sub-basins). The analysis indicated that as carbon emissions rose, hydrological drought in the basin would intensify. Promoting carbon emission reduction policies, enhancing water conservancy project construction, and other climate adaptation measures are crucial for alleviating hydrological drought in the Yuanjiang River Basin.

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Publication Details

Journal
Journal of Water and Climate Change
Published
2025-11-01
DOI
https://doi.org/10.2166/wcc.2025.105
Primary Topic
Hydrology and Drought Analysis
Type
article
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article

Future evolution characteristics of hydrological drought in the Yuanjiang River Basin under China's dual-carbon scenarios

Yinghua Shen, Junwei Pu, Jieyi Yi, Qiyang Peng et al.
Journal of Water and Climate Change
Hydrology and Drought Analysis
article

Future evolution characteristics of hydrological drought in the Yuanjiang River Basin under China's dual-carbon scenarios

Yinghua Shen, Junwei Pu, Jieyi Yi, Qiyang Peng, Jianqin Zhou, Meng Li, Huajun Liu, Jianqing Zhai, Xiaodong Dou
article en

Abstract

ABSTRACT As the main stem of the Yuanjiang–Red River, the Yuanjiang River has frequently experienced hydrological droughts in recent years. To reveal the future hydrological drought evolution characteristics of the Yuanjiang River Basin under the dual-carbon scenarios, this study innovatively employed the SWAT model, combined with the SRI, run theory, and Mann–Kendall test, to analyze these characteristics under the dual-carbon scenarios (SSP1-2.6, SSP2-4.5) and the high-carbon scenario (SSP5-8.5) for the future period (2026–2060), in line with China's carbon peaking and neutrality targets. Results showed that under dual-carbon scenarios, the annual and monthly runoff of the basin would increase, hydrological drought would decrease, and all sub-basins would become significantly wetter, compared with the baseline period (1981–2020). Drought duration, severity, and intensity would all decrease, with the reduction magnitude of SSP1-2.6 > SSP2-4.5. Under the high-carbon scenario, the majority of sub-basins would become significantly drier, and drought characteristics would generally increase compared with the baseline (except for individual sub-basins). The analysis indicated that as carbon emissions rose, hydrological drought in the basin would intensify. Promoting carbon emission reduction policies, enhancing water conservancy project construction, and other climate adaptation measures are crucial for alleviating hydrological drought in the Yuanjiang River Basin.

Journal of Water and Climate ChangeVol. 16(11)
Climate Central (US), China Meteorological Administration (CN), Yunnan University (CN), Yunnan Agricultural University (CN), National Center for Climate Change Strategy and International Cooperation (CN)
Openalex Percentile: Top 68%
Hydrology and Drought Analysis
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