Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China

The Jinghe River flows through the gully area of the Loess Plateau, where soil erosion is relatively severe. With the intensification of human activities, quantitatively evaluating the impact of land use/cover change (LUCC) on runoff is of paramount importance. This study is based on the Soil and Water Assessment Tool (SWAT) and Patch-generating Land Use Simulation (PLUS) models, and quantitatively analyzes the effect of LUCC on runoff in the Jinghe River Basin (JRB) through land use data from 2000 to 2020 and predicted scenarios for 2030 that encourage development, farmland protection, and ecological protection. The results show that reductions in farmland, grassland, and forest areas promote runoff, while increases in construction land similarly contribute to greater runoff. In all 2030 scenarios, the JRB is dominated by farmland and grassland. The mean annual runoff of LUCC under the three simulated prediction scenarios shows an increasing trend compared to LUCC in 2020, and the distribution of mean annual runoff depth is roughly the same. In addition, there is a strong interconnection between land use types and runoff in their dynamic relationship. Within the LUCC scenario, the decrease in farmland and forest land, along with the growth of construction land area promote runoff, while grassland plays a suppressive role in runoff. The results can offer a scientific foundation for improving soil erosion as well as optimizing land use patterns in the JRB.

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Publication Details

Journal
Land
Published
2025-03-16
DOI
https://doi.org/10.3390/land14030626
Citations
1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.82
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article

Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China

Zhongsheng Chen, Xueqi Li, Weipeng Li, Ling Zhang et al.
1 citations
Land
Hydrology and Watershed Management Studies
0.82
article

Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China

Zhongsheng Chen, Xueqi Li, Weipeng Li, Ling Zhang, Chanrong Qin, Ruilin Hu, Zhaoqi Yin
article en
1 citations

Abstract

The Jinghe River flows through the gully area of the Loess Plateau, where soil erosion is relatively severe. With the intensification of human activities, quantitatively evaluating the impact of land use/cover change (LUCC) on runoff is of paramount importance. This study is based on the Soil and Water Assessment Tool (SWAT) and Patch-generating Land Use Simulation (PLUS) models, and quantitatively analyzes the effect of LUCC on runoff in the Jinghe River Basin (JRB) through land use data from 2000 to 2020 and predicted scenarios for 2030 that encourage development, farmland protection, and ecological protection. The results show that reductions in farmland, grassland, and forest areas promote runoff, while increases in construction land similarly contribute to greater runoff. In all 2030 scenarios, the JRB is dominated by farmland and grassland. The mean annual runoff of LUCC under the three simulated prediction scenarios shows an increasing trend compared to LUCC in 2020, and the distribution of mean annual runoff depth is roughly the same. In addition, there is a strong interconnection between land use types and runoff in their dynamic relationship. Within the LUCC scenario, the decrease in farmland and forest land, along with the growth of construction land area promote runoff, while grassland plays a suppressive role in runoff. The results can offer a scientific foundation for improving soil erosion as well as optimizing land use patterns in the JRB.

LandVol. 14(3)
China West Normal University (CN)
Openalex Percentile: Top 28%
Hydrology and Watershed Management Studies
0.82
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Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China — Zhongsheng Chen, Xueqi Li, et al. · Land (2025) | TGRS Research Map | TGRS