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Roles of soil erodibility, rainfall erosivity and land use in affecting soil erosion at the basin scale

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  • Yao, Xiaolei
  • Yu, Jingshan
  • Jiang, Hong
  • Sun, Wenchao
  • Li, Zhanjie

Abstract

Evaluation of the factors affecting soil erosion is the foundation of erosion control. This study analyzed the temporal and spatial patterns of soil erosion, rainfall erosivity and land use change from 1980 to 2010. Also investigated the role of modified rainfall erosivity (RQ), land use (C), soil erodibility (K), on soil erosion in the Lushi Basin, using a multiple linear regression equation with the Soil Water Assessment Tool. The RQ spatial distribution is basically identical with rainfall. The forest and farmland from 1980 to 1995 and from 1995 to 2010 both increased. The erosion prone soil type with high K value distributes near the river. Soil erosion of whole basin had a decrease trend from 1982 to 1997, but increased in mid- and downstream regions by simulation. Through regression analysis, the considerable effect of K has been proved. Especially from July to October, the average effect of K is (1.4) larger than RQ (0.7). In the months with general rainfall amount, the average effect of RQ and K are 0.67 and 0.42 respectively. Although C factor in this basin has low sensitivity, the effect of land use on erosion cannot be ignored. These results confirm that soil erosion is driven principally by RQ and affected considerably by K, especially during the rainy season. In this basin, conservation of water and soil should both consider soil type pattern and land use adjustment on the regional scale.

Suggested Citation

  • Yao, Xiaolei & Yu, Jingshan & Jiang, Hong & Sun, Wenchao & Li, Zhanjie, 2016. "Roles of soil erodibility, rainfall erosivity and land use in affecting soil erosion at the basin scale," Agricultural Water Management, Elsevier, vol. 174(C), pages 82-92.
    • Handle: RePEc:eee:agiwat:v:174:y:2016:i:c:p:82-92
    DOI: 10.1016/j.agwat.2016.04.001
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    References listed on IDEAS

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    1. Lam, Q.D. & Schmalz, B. & Fohrer, N., 2010. "Modelling point and diffuse source pollution of nitrate in a rural lowland catchment using the SWAT model," Agricultural Water Management, Elsevier, vol. 97(2), pages 317-325, February.
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    1. Yongfen Zhang & Nong Wang & Chongjun Tang & Shiqiang Zhang & Yuejun Song & Kaitao Liao & Xiaofei Nie, 2021. "A New Indicator to Better Represent the Impact of Landscape Pattern Change on Basin Soil Erosion and Sediment Yield in the Upper Reach of Ganjiang, China," Land, MDPI, vol. 10(9), pages 1-18, September.
    2. Antonio Minervino Amodio & Dario Gioia & Maria Danese & Nicola Masini & Canio Alfieri Sabia, 2023. "Land-Use Change Effects on Soil Erosion: The Case of Roman “Via Herculia” (Southern Italy)—Combining Historical Maps, Aerial Images and Soil Erosion Model," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    3. 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.
    4. Jifeng Lin & Yunhong Lin & Hongfei Zhao & Hongming He, 2022. "Soil Erosion Processes and Geographical Differentiation in Shaanxi during 1980–2015," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    5. Chandra Setyawan & Chin-Yu Lee & Miky Prawitasari, 2019. "Investigating spatial contribution of land use types and land slope classes on soil erosion distribution under tropical environment," 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. 98(2), pages 697-718, September.
    6. Yonghua Zhao & Li Liu & Shuaizhi Kang & Yong Ao & Lei Han & Chaoqun Ma, 2021. "Quantitative Analysis of Factors Influencing Spatial Distribution of Soil Erosion Based on Geo-Detector Model under Diverse Geomorphological Types," Land, MDPI, vol. 10(6), pages 1-17, June.

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