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Basin-scale spatial soil erosion variability: Pingshuo opencast mine site in Shanxi Province, Loess Plateau of China

Author

Listed:
  • L. Zhang

    (China University of Geosciences)

  • Ke Z. Bai

    (China University of Geosciences
    Ministry of Land and Resources)

  • Man J. Wang

    (China University of Geosciences
    Ministry of Land and Resources)

  • R. Karthikeyan

    (China University of Geosciences
    Texas A&M University)

Abstract

Opencast mining and relevant land reclamation measurements can have a large impact on the surrounding landscape by altering vegetation, topography, and subsurface. Mining processes will induce changes in runoff, erosion, surface drainage system, and ecological functions. In this present study, Sanggan River (SGR) watershed with a surface area of about 1480 km2, which contains Pingshuo mine lying in the central part of this basin, was chosen for applying RUSLE model. RUSLE was applied in conjunction with geographic information systems and remote sensing to estimate erosion risks and assess impacts of mining on the channels and hydrologic system, in order to implement better water and soil conservation and reclamation practices. The RUSLE factors (R, K, LS, C, P) in 3 years, 1986, 2000, and 2013, were computed. Erosion in the study area for each of those years was classified into six grades: slight, light, moderate, intense, severe, and aggressive rates. Topographic factor (LS) and conservation practice factor (P) influenced the erosion to a greater extent and had higher correlation with soil erosion. High soil erosion rate was observed in areas with high terrain alteration, high slopes, and land with sparse vegetation. Hilly areas, grasslands, and the newly constructed mine dumps were more degraded with higher erosion.

Suggested Citation

  • L. Zhang & Ke Z. Bai & Man J. Wang & R. Karthikeyan, 2016. "Basin-scale spatial soil erosion variability: Pingshuo opencast mine site in Shanxi Province, Loess Plateau of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1213-1230, January.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:2:d:10.1007_s11069-015-2019-9
    DOI: 10.1007/s11069-015-2019-9
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    References listed on IDEAS

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    1. Jinghu Pan & Yan Wen, 2014. "Estimation of soil erosion using RUSLE in Caijiamiao watershed, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2187-2205, April.
    2. Rabin Bhattarai & Dushmata Dutta, 2007. "Estimation of Soil Erosion and Sediment Yield Using GIS at Catchment Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(10), pages 1635-1647, October.
    3. Manoj Jain & Debjyoti Das, 2010. "Estimation of Sediment Yield and Areas of Soil Erosion and Deposition for Watershed Prioritization using GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2091-2112, August.
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    Cited by:

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    3. Yanyuan Zhang & Cong Xu & Min Xia, 2021. "Can Land Consolidation Reduce the Soil Erosion of Agricultural Land in Hilly Areas? Evidence from Lishui District, Nanjing City," Land, MDPI, vol. 10(5), pages 1-14, May.

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