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.
沱江流域土壤侵蚀动态变化及驱动力分析
- Title:
- Analysis of Dynamic Changes and Driving Forces of Soil Erosion in Tuojiang River Basin
- 文章编号:
- 1005-3409(2022)02-0043-07
- Keywords:
- GIS; soil erosion; RUSLE; geodetector; Tuojiang River Basin
- 分类号:
- S157
- 文献标志码:
- A
- 摘要:
- 为了解沱江流域土壤侵蚀的动态演变规律及驱动机制,以沱江流域为研究区,基于GIS和RS技术,运用RUSLE模型测评流域2000—2018年的土壤侵蚀,对其时空动态演变规律进行了探索分析,并结合海拔、坡度、植被覆盖度、地形地貌、土地、降雨、GDP、人口等影响因子,借助地理探测器对其土壤侵蚀进行了定量归因研究。结果表明:(1)沱江流域土壤侵蚀以微度侵蚀为主,主要分布于低矮的平原和坡耕地地区; 2000—2018年,微度侵蚀等级比例随时间在逐渐增大,2018年相比2000年增加了7.03%,剧烈侵蚀等级比例随时间在逐渐减小,2018年相比2000年减小了2.00%。(2)以2010年为分界点,2000—2010年和2010—2018年土壤侵蚀等级微度的变化稳定率都大于75%,两个时间段内土壤侵蚀强度等级降低的范围均大于侵蚀等级升高的范围。(3)地理探测器结果表明,不同影响因子对土壤侵蚀的解释力具有差异性,解释力最强的为坡度,达到48.32%,因子间交互作用均能增强对土壤侵蚀的解释力,坡度与土地利用、坡度与降雨量的交互最为显著,交互作用解释力分别达到61.58%,52.32%,风险探测表明坡度大于35°,海拔大于1 500 m等起伏较大的山区是土壤侵蚀的高风险区,需重点治理。
- Abstract:
- 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.
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备注/Memo
收稿日期:2021-03-07 修回日期:2021-03-27
资助项目:国家自然科学基金(41471452); 沱江流域高质量发展研究中心项目(TJGZL2020-06); 内江师范学院校级科研项目(2019YB04); 中央高校基本科研业务资助项目(300102269201,300102299206,300102269205)
第一作者:钟旭珍(1990—),女,四川泸州人,硕士研究生,研究方向为GIS与资源评价。E-mail:904213389@qq.com
通信作者:吴瑞娟(1985—),女,山西河津人,博士研究生,研究方向为3S技术集成及应用。E-mail:rjwu@njtc.edu.cn