Quantitative attribution of key drivers influencing natural runoff changes in the Yellow River Basin

ABSTRACT Effective water management in the Yellow River Basin (YRB) requires a more nuanced understanding of the runoff dynamics and their drivers. Utilizing the China Natural Runoff Dataset and the China Meteorological Forcing Dataset, this study investigated spatial and temporal changes in runoff depth (R) and its three driving factors, precipitation (P), potential evapotranspiration (ET0), and the underlying surface parameter (n) from 1979 to 2018. Our analysis revealed a significant increase in R of 0.44 mm/a. We found that R increased 1–3% per 1% P increase, while showing negative responses to ET0 and n. We also found that P and n contributed 265.2 and 62.5% to runoff changes, respectively, while ET0 had a minor negative effect. These results indicated that increasing precipitation and surface changes have been the primary drivers of runoff growth in the YRB.

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Publication Details

Journal
Hydrology research
Published
2025-09-01
DOI
https://doi.org/10.2166/nh.2025.080
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative attribution of key drivers influencing natural runoff changes in the Yellow River Basin

Chang Liu, Wenting Wang, Yufan Zhang
Hydrology research
Hydrology and Watershed Management Studies
article

Quantitative attribution of key drivers influencing natural runoff changes in the Yellow River Basin

Chang Liu, Wenting Wang, Yufan Zhang
article en

Abstract

ABSTRACT Effective water management in the Yellow River Basin (YRB) requires a more nuanced understanding of the runoff dynamics and their drivers. Utilizing the China Natural Runoff Dataset and the China Meteorological Forcing Dataset, this study investigated spatial and temporal changes in runoff depth (R) and its three driving factors, precipitation (P), potential evapotranspiration (ET0), and the underlying surface parameter (n) from 1979 to 2018. Our analysis revealed a significant increase in R of 0.44 mm/a. We found that R increased 1–3% per 1% P increase, while showing negative responses to ET0 and n. We also found that P and n contributed 265.2 and 62.5% to runoff changes, respectively, while ET0 had a minor negative effect. These results indicated that increasing precipitation and surface changes have been the primary drivers of runoff growth in the YRB.

Hydrology researchVol. 56(9)
Beijing Normal University (CN), KU Leuven (BE)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Hydrology and Watershed Management Studies
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