Study on the driving factors of watershed runoff change in Zuli River by Budyko hypothesis and soil and water assessment tool model

• The SWAT model is capable of accurately simulating runoff in the Zuli River basin. • Elasticity theory is used to calculate the sensitivity of land use type to runoff. • The contribution rate of driving factors to runoff change is simulated and quantified under multi-scenario design. • Compared with Budyko hypothesis, the quantized eigenvalues different. • The SWAT model effectively simulates significant hydrological changes attributed to land-use variations. The Loess Plateau Basin faces challenges, such as soil erosion, vegetation restoration pressure, and ecological security. By identifying the driving factors of runoff changes, specific actions aimed at conserving soil and water, along with strategies for managing water resources, can be implemented. Therefore, the Zuli River was selected as the study site. The Mann-Kendall and Pettitt test methods were applied to analyze the mutation annual change and evolution of runoff from 1957 to 2022, the elasticity theory was applied to conduct sensitivity analysis on land use types, and the soil and water assessment tool (SWAT) model and Budyko hypothetical theory were utilized to quantitatively assess the driving factors behind runoff change. The results indicate that the annual runoff of Huining, Guochengyi, and Jingyuan decreased at rates of −0.03 × 10 8 , −0.06 × 10 8 and −0.15 × 10 8 m 3 ·(10a) -1 , respectively. The sensitivity of land use to runoff changes was the most pronounced from 2000 to 2020, the land use categories most sensitive were grassland, cultivated land, forest land, and building land. The primary factor contributing to decrease in runoff was human activities, and the verification and rate of SWAT models are regularly acceptable. The contribution rate of human activities to HN, GCY and JY was 58 %, 65 % and 44 % by the Budyko hypothesis, and the precipitation was 28 %, 26 % and 23 %, respectively. The contribution rate of human activities to HN, GCY and JY was 63 %, 73 % and 68 %, and the climate change was 38 %, 27 % and 32 % by SWAT model, the percentage of runoff change attributed to land use were 45 %, 41 %, and 67 %. Therefore, the significance of human activities must be taken into account in ecological protection and water-related initiatives within the Loess Plateau gully region, so as to formulate effective sustainable development strategies for the future integrated management of the basin.

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Publication Details

Journal
Ecological Indicators
Published
2024-12-31
DOI
https://doi.org/10.1016/j.ecolind.2024.112963
Citations
15
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
3.02
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article

Study on the driving factors of watershed runoff change in Zuli River by Budyko hypothesis and soil and water assessment tool model

Heping Shu, Yaxian Li, Qiang Wang, Zhi Jin Xu et al.
15 citations
Ecological Indicators
Hydrology and Watershed Management Studies
3.02
article

Study on the driving factors of watershed runoff change in Zuli River by Budyko hypothesis and soil and water assessment tool model

Heping Shu, Yaxian Li, Qiang Wang, Zhi Jin Xu, Rui Zhang, Yun Zhao
article en
15 citations

Abstract

• The SWAT model is capable of accurately simulating runoff in the Zuli River basin. • Elasticity theory is used to calculate the sensitivity of land use type to runoff. • The contribution rate of driving factors to runoff change is simulated and quantified under multi-scenario design. • Compared with Budyko hypothesis, the quantized eigenvalues different. • The SWAT model effectively simulates significant hydrological changes attributed to land-use variations. The Loess Plateau Basin faces challenges, such as soil erosion, vegetation restoration pressure, and ecological security. By identifying the driving factors of runoff changes, specific actions aimed at conserving soil and water, along with strategies for managing water resources, can be implemented. Therefore, the Zuli River was selected as the study site. The Mann-Kendall and Pettitt test methods were applied to analyze the mutation annual change and evolution of runoff from 1957 to 2022, the elasticity theory was applied to conduct sensitivity analysis on land use types, and the soil and water assessment tool (SWAT) model and Budyko hypothetical theory were utilized to quantitatively assess the driving factors behind runoff change. The results indicate that the annual runoff of Huining, Guochengyi, and Jingyuan decreased at rates of −0.03 × 10 8 , −0.06 × 10 8 and −0.15 × 10 8 m 3 ·(10a) -1 , respectively. The sensitivity of land use to runoff changes was the most pronounced from 2000 to 2020, the land use categories most sensitive were grassland, cultivated land, forest land, and building land. The primary factor contributing to decrease in runoff was human activities, and the verification and rate of SWAT models are regularly acceptable. The contribution rate of human activities to HN, GCY and JY was 58 %, 65 % and 44 % by the Budyko hypothesis, and the precipitation was 28 %, 26 % and 23 %, respectively. The contribution rate of human activities to HN, GCY and JY was 63 %, 73 % and 68 %, and the climate change was 38 %, 27 % and 32 % by SWAT model, the percentage of runoff change attributed to land use were 45 %, 41 %, and 67 %. Therefore, the significance of human activities must be taken into account in ecological protection and water-related initiatives within the Loess Plateau gully region, so as to formulate effective sustainable development strategies for the future integrated management of the basin.

Ecological IndicatorsVol. 170
Department of Water (AU), Institute of Soil and Water Conservation (CN), Guizhou Water Conservancy and Hydropower Survey and Design Institute (CN)
Openalex Percentile: Top 9%
Hydrology and Watershed Management Studies
3.02
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