[1]ZHONG Xuzhen,ZHANG Su,WU Ruijuan,et al.Analysis of Dynamic Changes and Driving Forces of Soil Erosion in Tuojiang River Basin[J].Research of Soil and Water Conservation,2022,29(02):43-49+56.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 02
Page number:
43-49+56
Column:
Public date:
2022-03-20
- Title:
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Analysis of Dynamic Changes and Driving Forces of Soil Erosion in Tuojiang River Basin
- Author(s):
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ZHONG Xuzhen1, ZHANG Su1, WU Ruijuan1, JING Yuanbing1, MEN Leilei2, ZHOU Ting1
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(1.School of Geography and Resources Science, Neijiang Normal University, Neijiang, Sichuan 641100, China; 2.China Coal Science and Engineering Ecological Environment Technology Co., Ltd., Beijing 100013, China)
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- Keywords:
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GIS; soil erosion; RUSLE; geodetector; Tuojiang River Basin
- CLC:
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S157
- DOI:
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- Abstract:
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To understand the dynamic evolution and driving mechanism of soil erosion in the Tuojiang River Basin, based on GIS and RS technology, the RUSLE model was used to evaluate the soil erosion in the basin from 2000 to 2018, and its temporal and spatial dynamic evolution was analyzed, and geodetector was used to conduct quantitative attribution research on soil erosion through combining with altitude, slope, vegetation coverage, topography, land, rainfall, GDP, population and other influencing factors. The results showed that:(1)soil erosion in the Tuojiang River Basin was dominated by slight degree, mainly distributed in low slope farmland; from 2000 to 2018, the area of slight erosion increased gradually with time, in 2018, it increased by 7.03% compared to 2000, and the area of severe erosion decreased gradually with time, in 2018, it decreased by 2.00% compared with 2000;(2)taking 2010 as the demarcation point, it could be seen that the stability rates of the slight change of soil erosion grade in 2000—2010 and 2010—2018 were greater than 75%; in the two time periods, the range of soil erosion grade reduction was greater than the range of erosion grade increase;(3)the geodetector results showed that different influencing factors had different explanatory powers for soil erosion, and the strongest explanatory power was slope, reaching 48.32%; the interaction between factors could enhance the explanatory power of soil erosion, and the interaction between slope and land use, slope and rainfall was the most significant, and the explanatory power of the interaction reached 61.58% and 52.32%, respectively; risk detection showed that mountainous areas with steep slopes greater than 35° and elevations greater than 1 500 m were high-risk areas of soil erosion and needed the key management.