Spatiotemporal Variation of Soil Erosion in the Northern Foothills of the Qinling Mountains Using the RUSLE Model

Author:

Cheng Yuxiang123ORCID,Huo Aidi45678ORCID,Liu Feng45678,Ahmed Adnan45678ORCID,Abuarab Mohamed EL-Sayed9ORCID,Elbeltagi Ahmed10ORCID,Kucher Dmitri Evgenievich11ORCID

Affiliation:

1. Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Chang’an University, Xi’an 710054, China

2. Key Laboratory of Western Mineral Resources and Geological Engineering, Ministry of Education, Chang’an University, Xi’an 710054, China

3. School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China

4. Shaanxi Province Innovation and Introduction Base for Discipline of Urban and Rural Water Security and Rural Revitalization in Arid Areas, Chang’an University, Xi’an 710054, China

5. School of Water and Environment, Chang’an University, Xi’an 710054, China

6. Xi’an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang’an University, Xi’an 710054, China

7. Key Laboratory of Eco-Hydrology and Water Security in Arid and Semi-Arid Regions of the Ministry of Water Resources, Chang’an University, Xi’an 710054, China

8. Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Chang’an University, Xi’an 710054, China

9. Faculty of Agriculture, Cairo University, Giza 12613, Egypt

10. Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt

11. Department of Environmental Management, Peoples’ Friendship University of Russia (RUDN University), 6 street Miklukho-Maklaya, 117198 Moscow, Russia

Abstract

The Qinling region in central China, known as the ‘Dragon Vein of China’, is a vital ecological barrier facing significant soil erosion challenges. This study aims to enhance soil erosion management and analyse the spatiotemporal changes of soil erosion in the northern foothills of the Qinling Mountains. We collected data on precipitation, terrain, land use types, and soil in the designated region. Using GIS technology and the Revised Universal Soil Loss Equation (RUSLE) model, we created a detailed soil erosion map and analysed its evolution from 2018 to 2022. Results show a significant reduction in soil erosion in 2020–2021 despite a general upward trend in other years. Innovation includes integrating remote sensing with RUSLE for high-precision mapping and introducing a hierarchical approach for erosion risk assessment. The study found erosion peaks in summer and autumn, with higher levels in the southern parts compared to the northern parts. Influential factors include climate variables, human activities, soil, and vegetation types. The average soil erosion modulus in 2023 is 233.515 t/(km2·a), with total soil erosion of 85,233.046 t/a, mainly concentrated in the valley and mountain basin areas. This research provides a theoretical basis for improving the natural environment and implementing comprehensive soil and water conservation measures in the Qinling region, offering a model for similar ecological regions globally.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China: Evolution and Disaster Risk Management of Eco-Geological Environment System in Qinling Mountains

International Science and Technology Cooperation Program of Shaanxi Province

Publisher

MDPI AG

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