Analysis of Meteorological-to-Hydrological Drought Propagation and Influencing Factors Across Arid and Humid Climate Regions in China

Drought events have become more frequent worldwide under ongoing climate change. However, how precipitation deficits evolve into runoff deficits across contrasting dry and humid climate regions, and which factors control this transition, remains insufficiently understood. This study takes five climate zones in China (arid, semi-arid, semi-humid, humid–semi-humid, and humid) from 1970 to 2020 as examples to explore the propagation process of drought and its key driving factors. We used the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), maximum correlation coefficient method, Kendall’s test, and multiple linear regression to identify the drought propagation time (DPT), its dynamic changes, and its main influencing factors. The results indicate that DPT exhibits significant seasonal and regional variations: on a national scale, its peak occurs in winter (7.35 months) and its trough in summer (2.54 months); specifically, propagation times in humid regions are relatively short and stable, whereas those in semi-arid, semi-humid, and humid–semi-humid regions are relatively long and highly variable. Temperature (20.69% in spring; 16.67% in summer) and potential evaporation dominate in spring, autumn, and winter, while summer precipitation (9.38%) also has a significant impact. The El Niño–Southern Oscillation (ENSO) has the most significant impact on humid regions, increasing the model R2 from 34.6–37.2% to 43.7–45.0%. These results improve the understanding of drought propagation mechanisms across climatic regions, highlight the significant influence of ENSO on seasonal and regional variations in DPT, and provide a basis for regional drought early warning and water-resource management.

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Publication Details

Journal
Atmosphere
Published
2026-05-08
DOI
https://doi.org/10.3390/atmos17050478
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
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article

Analysis of Meteorological-to-Hydrological Drought Propagation and Influencing Factors Across Arid and Humid Climate Regions in China

Shibo Wei, Tongning Wang, Wei Liu, Yaodong Feng et al.
Atmosphere
Hydrology and Drought Analysis
article

Analysis of Meteorological-to-Hydrological Drought Propagation and Influencing Factors Across Arid and Humid Climate Regions in China

Shibo Wei, Tongning Wang, Wei Liu, Yaodong Feng, Jingjing Fan
article en

Abstract

Drought events have become more frequent worldwide under ongoing climate change. However, how precipitation deficits evolve into runoff deficits across contrasting dry and humid climate regions, and which factors control this transition, remains insufficiently understood. This study takes five climate zones in China (arid, semi-arid, semi-humid, humid–semi-humid, and humid) from 1970 to 2020 as examples to explore the propagation process of drought and its key driving factors. We used the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), maximum correlation coefficient method, Kendall’s test, and multiple linear regression to identify the drought propagation time (DPT), its dynamic changes, and its main influencing factors. The results indicate that DPT exhibits significant seasonal and regional variations: on a national scale, its peak occurs in winter (7.35 months) and its trough in summer (2.54 months); specifically, propagation times in humid regions are relatively short and stable, whereas those in semi-arid, semi-humid, and humid–semi-humid regions are relatively long and highly variable. Temperature (20.69% in spring; 16.67% in summer) and potential evaporation dominate in spring, autumn, and winter, while summer precipitation (9.38%) also has a significant impact. The El Niño–Southern Oscillation (ENSO) has the most significant impact on humid regions, increasing the model R2 from 34.6–37.2% to 43.7–45.0%. These results improve the understanding of drought propagation mechanisms across climatic regions, highlight the significant influence of ENSO on seasonal and regional variations in DPT, and provide a basis for regional drought early warning and water-resource management.

AtmosphereVol. 17(5)
Hebei University of Engineering (CN), Tianjin Energy Investment Group (China) (CN)
National Natural Science Foundation of China, Department of Education of Hebei Province
Openalex Percentile: Top 6%
Hydrology and Drought Analysis
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