Precipitation water conversion rate variations and driving mechanisms in the Yangtze-Huang-Huai-Hai river basin over the past 60 years

Precipitation water conversion rate (PWCR) is a key indicator of the efficiency with which atmospheric vertically integrated water vapor content (IWV) is converted into precipitation. This study investigates the long-term variations and driving mechanisms of PWCR in the Yangtze-Huanghe-Huaihe-Haihe River (YHHH) basin, China, from 1956 to 2024. The results show that PWCR decreased significantly at a rate of −1.19%·dec −1 , while IWV increased by 2.83 mm·dec −1 and precipitation decreased by −18.95 mm·dec −1 . These opposite trends indicate that increasing atmospheric moisture did not translate into enhanced precipitation conversion. Seasonal analysis further reveals distinct mechanisms in summer and winter. In summer, PWCR is mainly controlled by precipitation changes jointly regulated by relative humidity (RH) and temperature. Higher RH favors precipitation formation, whereas warming may reduce conversion efficiency by increasing atmospheric moisture-holding capacity. In winter, PWCR is primarily governed by RH-mediated precipitation processes. Overall, the decline in PWCR reflects a weakening efficiency of atmospheric water vapor conversion under a warming and drying background. These findings improve understanding of water vapor–precipitation transformation in large monsoon-influenced basins and provide useful evidence for hydrological modeling and climate adaptation.

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Publication Details

Journal
Journal of Hydrology
Published
2026-07-23
DOI
https://doi.org/10.1016/j.jhydrol.2026.136051
Primary Topic
Environmental and Agricultural Sciences
Type
article
Field-Weighted Citation Impact
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article

Precipitation water conversion rate variations and driving mechanisms in the Yangtze-Huang-Huai-Hai river basin over the past 60 years

Haodong Deng, Qingming Wang, Yue Wang, Chaoqun Li et al.
Journal of Hydrology
Environmental and Agricultural Sciences
article

Precipitation water conversion rate variations and driving mechanisms in the Yangtze-Huang-Huai-Hai river basin over the past 60 years

Haodong Deng, Qingming Wang, Yue Wang, Chaoqun Li, Fusheng Li, Dongqing Zhang, Dengming Yan, Benxing Lou, Lichuan Wang, Kai Hou, Xiaoxue Chen
article en

Abstract

Precipitation water conversion rate (PWCR) is a key indicator of the efficiency with which atmospheric vertically integrated water vapor content (IWV) is converted into precipitation. This study investigates the long-term variations and driving mechanisms of PWCR in the Yangtze-Huanghe-Huaihe-Haihe River (YHHH) basin, China, from 1956 to 2024. The results show that PWCR decreased significantly at a rate of −1.19%·dec −1 , while IWV increased by 2.83 mm·dec −1 and precipitation decreased by −18.95 mm·dec −1 . These opposite trends indicate that increasing atmospheric moisture did not translate into enhanced precipitation conversion. Seasonal analysis further reveals distinct mechanisms in summer and winter. In summer, PWCR is mainly controlled by precipitation changes jointly regulated by relative humidity (RH) and temperature. Higher RH favors precipitation formation, whereas warming may reduce conversion efficiency by increasing atmospheric moisture-holding capacity. In winter, PWCR is primarily governed by RH-mediated precipitation processes. Overall, the decline in PWCR reflects a weakening efficiency of atmospheric water vapor conversion under a warming and drying background. These findings improve understanding of water vapor–precipitation transformation in large monsoon-influenced basins and provide useful evidence for hydrological modeling and climate adaptation.

Journal of HydrologyVol. 678
China Institute of Water Resources and Hydropower Research (CN), Henan Province Water Conservancy Survey and Design Research (CN), Ministry of Water Resources of the People's Republic of China (CN), Yellow River Institute of Hydraulic Research (CN)
Key Technologies Research and Development Program
Clean water and sanitation
Openalex Percentile: Top 17%
Environmental and Agricultural Sciences
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