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Evaluating the Dominant Controls of Water Erosion in Three Dry Valley Types Using the RUSLE and Geodetector Method

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  • Chao Yang

    (Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianrong Fan

    (Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Jiali Liu

    (Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Fubao Xu

    (Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiyu Zhang

    (Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

Abstract

The dry valley is a unique geographic phenomenon in Southwest China with severe water erosion. However, little is known regarding its dominant controls and the discrepancies between dry valley subtypes, leading to the poor management of water erosion. To solve these problems, the revised universal soil loss equation (RUSLE) and Geodetector method were used in a dry temperate (DT), dry warm (DW), and dry hot (DH) valley. Results indicated that dry valleys suffer severe water erosion with a value of 64.78, 43.85, and 33.81 t·ha −1 ·yr −1 . The Geodetector method is proven to be an efficient tool to quantify the dominant factor of water erosion. It was established that land use types (LUT) have the closest relationship with water erosion. The controls for water erosion could be better explained by multi-factor interactions analysis, particularly for the combination of slope and LUT in DW ( q = 0.71) and DH ( q = 0.66). Additionally, regions at high risk of water erosion were characterized by steep slope (>30°) and low vegetation coverage (<50%) in DT, while the opposite is shown in DH. These findings could provide insight for guiding soil erosion management and ecological restoration strategies that balance economic and environmental sustainability.

Suggested Citation

  • Chao Yang & Jianrong Fan & Jiali Liu & Fubao Xu & Xiyu Zhang, 2021. "Evaluating the Dominant Controls of Water Erosion in Three Dry Valley Types Using the RUSLE and Geodetector Method," Land, MDPI, vol. 10(12), pages 1-16, November.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1289-:d:686941
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    References listed on IDEAS

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    Cited by:

    1. Feng Wang & Jintong Liu & Tonggang Fu & Hui Gao & Fei Qi, 2023. "Spatial-Temporal Variations in of Soil Conservation Service and Its Influencing Factors under the Background of Ecological Engineering in the Taihang Mountain Area, China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    2. Shixian Xu & Xinjun Wang & Xiaofei Ma & Shenghan Gao, 2023. "Risk Assessment and Prediction of Soil Water Erosion on the Middle Northern Slope of Tianshan Mountain," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    3. Linhao Zhang & Haiping Tang & Peijun Shi & Wei Jia & Luwei Dai, 2023. "Geographically and Ontologically Oriented Scoping of a Dry Valley and Its Spatial Characteristics Analysis: The Case of the Three Parallel Rivers Region," Land, MDPI, vol. 12(6), pages 1-17, June.

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