Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models

Yanyan Li, Jinbing Zhang, Hui Zhu, Zhimin Zhou (), Shan Jiang, Shuangyan He, Ying Zhang, Yicheng Huang, Mengfan Li, Guangrui Xing and Guanghui Li
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Yanyan Li: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Jinbing Zhang: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Hui Zhu: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Zhimin Zhou: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Shan Jiang: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Shuangyan He: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Ying Zhang: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Yicheng Huang: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Mengfan Li: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Guangrui Xing: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Guanghui Li: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China

IJERPH, 2023, vol. 20, issue 2, 1-19

Abstract: Soil erosion is an important global environmental issue that severely affects regional ecological environment and socio-economic development. The Yellow River (YR) is China’s second largest river and the fifth largest one worldwide. Its watershed is key to China’s economic growth and environmental security. In this study, six impact factors, including rainfall erosivity (R), soil erosivity (K), slope length (L), slope steepness (S), cover management (C), and protective measures (P), were used. Based on the revised universal soil loss equation (RUSLE) model, and combined with a geographic information system (GIS), the temporal and spatial distribution of soil erosion (SE) in the YR from 2000 to 2020 was estimated. The patch-generating land use simulation (PLUS) model was used to simulate the land-use and land-cover change (LUCC) under two scenarios (natural development and ecological protection) in 2040; the RUSLE factor P was found to be associated with LUCC in 2040, and soil erosion in the Yellow River Basin (YRB) in 2040 under the two scenarios were predicted and evaluated. This method has great advantages in land-use simulation, but soil erosion is greatly affected by rainfall and slope, and it only focuses on the link between land-usage alteration and SE. Therefore, this method has certain limitations in assessing soil erosion by simulating and predicting land-use change. We found that there is generally slight soil erosivity in the YRB, with the most serious soil erosion occurring in 2000. Areas with serious SE are predominantly situated in the upper reaches (URs), followed by the middle reaches (MRs), and soil erosion is less severe in the lower reaches. Soil erosion in the YRB decreased 11.92% from 2000 to 2020; thus, soil erosion has gradually reduced in this area over time. Based on the GIS statistics, land-use change strongly influences SE, while an increase in woodland area has an important positive effect in reducing soil erosion. By predicting land-use changes in 2040, compared to the natural development scenario, woodland and grassland under the ecological protection scenario can be increased by 1978 km 2 and 2407 km 2 , respectively. Soil erosion can be decreased by 6.24%, indicating the implementation of woodland and grassland protection will help reduce soil erosion. Policies such as forest protection and grassland restoration should be further developed and implemented on the MRs and URs of the YR. Our research results possess important trend-setting significance for soil erosion control protocols and ecological environmental protection in other large river basins worldwide.

Keywords: PLUS model; RUSLE model; land use; soil erosion; prediction; YRB (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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