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Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE

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  • Liguang Jiang
  • Zhijun Yao
  • Zhaofei Liu
  • Shanshan Wu
  • Rui Wang
  • Lei Wang

Abstract

Soil erosion increasingly poses a great threat to human food security and environmental quality. It is necessary to implement the assessment of soil erosion so as to provide precautionary measures and relevant suggestions for soil conservation. In this paper, the soil erosion model, revised universal soil loss equation (RUSLE), was used to quantify the soil loss in a large mountainous area of Lower Jinsha River Basin. The analysis of the datasets by means of geographic information systems (GIS) together with RUSLE led to the estimation of soil erosion. Results show that the average annual soil erosion was estimated at 52.1 t ha −1 year −1 and the total annual soil loss was 4.5 × 10 8 t. The highest erosion was found along the main course of Jinsha River. Soil erosion was serious in the elevation zone between 1,675 and 2,153 m and slope zone with slopes between 15° and 35°. As for land use types, cropland and grassland contributed 84.1 % to total soil loss due to the large areas and higher erosion rates. The results can be used to advice the local government in prioritizing the areas of immediate conservation practices. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Liguang Jiang & Zhijun Yao & Zhaofei Liu & Shanshan Wu & Rui Wang & Lei Wang, 2015. "Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE," 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. 76(3), pages 1831-1847, April.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:3:p:1831-1847
    DOI: 10.1007/s11069-014-1569-6
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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. J. Onyando & P. Kisoyan & M. Chemelil, 2005. "Estimation of Potential Soil Erosion for River Perkerra Catchment in Kenya," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(2), pages 133-143, April.
    3. Rahman, Md. Rejaur & Shi, Z.H. & Chongfa, Cai, 2009. "Soil erosion hazard evaluation—An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies," Ecological Modelling, Elsevier, vol. 220(13), pages 1724-1734.
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    4. Arun Mondal & Deepak Khare & Sananda Kundu, 2016. "Impact assessment of climate change on future soil erosion and SOC loss," 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. 82(3), pages 1515-1539, July.
    5. Nektarios N. Kourgialas & Georgios C. Koubouris & George P. Karatzas & Ioannis Metzidakis, 2016. "Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: the effect of climate change," 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. 83(1), pages 65-81, October.
    6. Liguo Zhang & Zhanqi Wang & Ji Chai & Yongpeng Fu & Chao Wei & Ying Wang, 2019. "Temporal and Spatial Changes of Non-Point Source N and P and Its Decoupling from Agricultural Development in Water Source Area of Middle Route of the South-to-North Water Diversion Project," Sustainability, MDPI, vol. 11(3), pages 1-23, February.
    7. Nan Shen & Zhanli Wang & Fengbao Zhang & Chunhong Zhou, 2023. "Response of Soil Detachment Rate to Sediment Load and Model Examination: A Key Process Simulation of Rill Erosion on Steep Loessial Hillslopes," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    8. Elias Rodrigues Cunha & Vitor Matheus Bacani & Elói Panachuki, 2017. "Modeling soil erosion using RUSLE and GIS in a watershed occupied by rural settlement in the Brazilian Cerrado," 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. 85(2), pages 851-868, January.
    9. H. Vijith & L. W. Seling & D. Dodge-Wan, 2018. "Estimation of soil loss and identification of erosion risk zones in a forested region in Sarawak, Malaysia, Northern Borneo," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1365-1384, June.
    10. Ying Xu & Haiping Tang & Bojie Wang & Jiao Chen, 2017. "Effects of landscape patterns on soil erosion processes in a mountain–basin system in the North 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. 87(3), pages 1567-1585, July.
    11. Jun Luo & Xueyang Ma & Lei Wang & Bin Zhang & Xiao Yang & Tianxiang Yue, 2022. "The Influence of Short-Term Heavy Rainfall on Hydraulic Characteristics and Rill Formation in the Yuanmou Dry-Hot Valley," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    12. Morteza Akbari & Ehsan Neamatollahi & Hadi Memarian & Mohammad Alizadeh Noughani, 2023. "Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran," 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. 117(2), pages 1689-1710, June.

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