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Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China

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  • Shifa Chen

    (Fujian Normal University
    Shaoguan University)

  • Xuan Zha

    (Fujian Normal University
    Fujian Normal University)

Abstract

Soil erosion by water is a serious environmental problem in southern China, particularly in the Zhuxi watershed in Changting County of the Fujian Province, which is characterized by highly erosive rainfall, severely undulating terrain, porous soil, scarce vegetation, and excessive human activity. The evaluation of soil erosion vulnerability is important for soil resources and sustainable development. Using the Zhuxi watershed as an example of soil erosion problems, this study uses the analytic hierarchy process to evaluate soil erosion vulnerability in a coupled human and natural system to determine the proportions of factors in an index system based on the experience of experts. Using GIS, we confirmed that the factors in the utilized index system were exposure, sensitivity, and adaptive capacity to soil erosion. All of these factors were combined to determine the soil erosion vulnerability. The results indicated severe soil erosion vulnerability over large areas. The areas vulnerable to soil erosion accounted for 57.98 % of the watershed; and the areas damaged to a high or very high extent account for over 12.08 % of the watershed. The results also show that the soil erosion vulnerability varies in different locations. For example, soil erosion vulnerability is lower in the eastern part of the study area and higher in the western part. Therefore, an effective approach to reduce soil erosion vulnerability would be to implement measures for regional soil and water conservation and sustainable development.

Suggested Citation

  • Shifa Chen & Xuan Zha, 2016. "Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, 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. 82(3), pages 1589-1607, July.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:3:d:10.1007_s11069-016-2258-4
    DOI: 10.1007/s11069-016-2258-4
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    References listed on IDEAS

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    1. Shabana Khan, 2012. "Vulnerability assessments and their planning implications: a case study of the Hutt Valley, New Zealand," 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. 64(2), pages 1587-1607, November.
    2. Amit Kumar & Mamta Devi & Benidhar Deshmukh, 2014. "Integrated Remote Sensing and Geographic Information System Based RUSLE Modelling for Estimation of Soil Loss in Western Himalaya, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3307-3317, August.
    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.
    4. Shen, Z.Y. & Gong, Y.W. & Li, Y.H. & Hong, Q. & Xu, L. & Liu, R.M., 2009. "A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area," Agricultural Water Management, Elsevier, vol. 96(10), pages 1435-1442, October.
    5. Krishna Bhandari & Jagannath Aryal & Rotchanatch Darnsawasdi, 2015. "A geospatial approach to assessing soil erosion in a watershed by integrating socio-economic determinants and the RUSLE model," 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. 75(1), pages 321-342, January.
    6. Stefanos Stefanidis & Dimitrios Stathis, 2013. "Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP)," 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. 68(2), pages 569-585, September.
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    2. Kai Gao & Zhigang Kong & Yanqing Li & Fei Zhao & Baoxin Cai & Dehua Shi & Ren Wang, 2024. "Experimental Study on Runoff and Sediment Production of the Fully Weathered Granite Backfill Slope under Heavy Rain in Longling, Yunnan Province," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    3. Shanshan Xu & Qinghe Zhao & Shengyan Ding & Mingzhou Qin & Lixin Ning & Xiaoyu Ji, 2018. "Improving Soil and Water Conservation of Riparian Vegetation Based on Landscape Leakiness and Optimal Vegetation Pattern," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    4. 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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