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Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region

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  • Liangang Chen
  • Xin Qian
  • Yong Shi

Abstract

Identifying critical soil loss-prone areas is necessary to better control soil loss in the Xiangxi watershed, the river basin nearest the Three Gorges Dam. A crucial element of this scheme is the development of a risk assessment model that can identify critical potential soil loss areas for land use prioritization and soil conservation. An assessment model for the risk of potential soil loss based on the revised universal soil loss equation and sediment delivery ratio was developed in this work. The proposed model consists of five multiplied factors: the rain and runoff erosivity, soil erodibility, slope steepness and length, vegetation cover, and sediment delivery. The risk of potential soil loss in the Xiangxi watershed was assessed using the developed model integrated with the ArcGIS platform along with precipitation data, soil data, DEM, and MODIS NDVI images. The risk values ranged from 0 to 478.18, and were categorized into four classes. The classification showed that critical and sub-critical areas accounted for 4.48% and 6.05% respectively, of the entire Xiangxi watershed area. The results of the identification of critical and sub-critical areas were verified by analyzing the relationship between the variations of the agricultural land area and those of sediment discharge. Statistical relationship analysis between the distribution of critical/sub-critical areas and two parameters (the cell distance to the nearest river channel and the slope) showed that the critical and sub-critical areas for potential soil loss in the Xiangxi watershed assemble in the zone with a cell distance below 2,000 m, or in the zone with slopes above 25°. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Liangang Chen & Xin Qian & Yong Shi, 2011. "Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3445-3463, October.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:13:p:3445-3463
    DOI: 10.1007/s11269-011-9864-4
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    References listed on IDEAS

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    7. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, 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. 22(12), pages 1783-1798, December.
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    9. Lin, Wen-Tzu & Tsai, Jing-Shyan & Lin, Chao-Yuan & Huang, Pi-Hui, 2008. "Assessing reforestation placement and benefit for erosion control: A case study on the Chi-Jia-Wan Stream, Taiwan," Ecological Modelling, Elsevier, vol. 211(3), pages 444-452.
    10. Jasmin Ismail & S. Ravichandran, 2008. "RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(1), pages 83-102, January.
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    2. R. Jaiswal & Narayan Ghosh & A. Lohani & T. Thomas, 2015. "Fuzzy AHP Based Multi Crteria Decision Support for Watershed Prioritization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4205-4227, September.
    3. Subhasis Giri & Zeyuan Qiu & Tony Prato & Biliang Luo, 2016. "An Integrated Approach for Targeting Critical Source Areas to Control Nonpoint Source Pollution in Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5087-5100, November.
    4. Paolenmang Haokip & Md. Abdullah Khan & Pandurang Choudhari & Luc Cimusa Kulimushi & Ibodullo Qaraev, 2022. "Identification of erosion-prone areas using morphometric parameters, land use land cover and multi-criteria decision-making method: geo-informatics approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 527-557, January.
    5. Paul Omute & Rob Corner & Joseph Awange, 2012. "The use of NDVI and its Derivatives for Monitoring Lake Victoria’s Water Level and Drought Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1591-1613, April.
    6. Gowhar Meraj & Shakil Romshoo & A. Yousuf & Sadaff Altaf & Farrukh Altaf, 2015. "Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya," 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. 77(1), pages 153-175, May.
    7. V. Chowdary & D. Chakraborthy & A. Jeyaram & Y. Murthy & J. Sharma & V. Dadhwal, 2013. "Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3555-3571, August.
    8. Walter Chen & Kent Thomas, 2020. "Revised SEDD (RSEDD) Model for Sediment Delivery Processes at the Basin Scale," Sustainability, MDPI, vol. 12(12), pages 1-17, June.

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