基于三峡库区重庆段不同降雨分区的土壤侵蚀多因子综合作用分析
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国家自然科学基金青年科学基金项目(No.42001388);重庆市自然科学基金面上项目(No.cstc2019jcyjmsxmX0515);中国博士后科学基金面上资助西部地区博士后人才资助计划(No.2019M653830XB)


Integrated Effect of Multi-Factors on Soil Erosion under Different Rainfall Zones in the Chongqing Section of the Three Gorges Reservoir Area
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    摘要:

    阐明三峡库区重庆段土壤侵蚀时空变化特征,揭示不同降雨空间分区下多驱动因子对土壤侵蚀综合作用的分异规律,为区域内土壤侵蚀防治宏观决策提供科学参考。基于多源遥感影像、气象数据、DEM及土壤数据,采用WaTEM/SEDEM模型模拟三峡库区重庆段2000—2020年土壤侵蚀量,采用ISODATA聚类方法进行降雨空间分区,采用地理探测器进行多因子综合作用分析。研究结果显示:1) 2000年、2005年、2010年、2015年和2020年研究区平均土壤侵蚀模数分别为108.78、109.11、86.9、47.52和21.16 t·hm -2 ·a -1 ,土壤侵蚀状况整体呈现缓解趋势,土壤发生强度侵蚀、极强度侵蚀和剧烈侵蚀的区域大幅减少。2) 植被覆盖度因子在高降雨区对土壤侵蚀的解释力最高;土地利用类型、坡度、地貌类型、土壤类型、高程等因子在2010年低降雨区对土壤侵蚀的解释力较高,在2020年不同降雨区对土壤侵蚀的解释力则无明显差异。3) 在高降雨区,植被覆盖度与其他因子的交互作用对土壤侵蚀的解释力最高;2010年在低降雨地区,坡度与其他因子的交互作用对土壤侵蚀的解释力较高;各驱动因子在不同降雨区的土壤侵蚀高风险区分异规律明显。由研究结果可知,三峡库区重庆段土壤侵蚀变化明显,不同降雨区划中不同驱动因子对土壤侵蚀的综合作用存在明显差异。

    Abstract:

    Clarifying the spatial and temporal variation characteristics of soil erosion in the Chongqing Section of the Three Gorges Reservoir Area and revealing the pattern of the effect with multiple factors on soil erosion under different rainfall spatial partitions, and to provide scientific reference for the decision of soil erosion control in this area. Based on multi-source remote sensing images, meteorological data, DEM and soil data, taking the Chongqing Section of the Three Gorges Reservoir Area as the study area, the WaTEM/SEDEM model was used to simulate soil erosion from 2000 to 2020. The ISODATA clustering method was used for spatial partitioning of rainfall. Geographical detector was used for multi-factor integrated analysis. The results of the study show that: 1) The average soil erosion modulus in the study area was 10878, 10911, 869, 4752, and 2116 t·hm-2·a-1 in 2000, 2005, 2010, 2015, and 2020, respectively, with an overall mitigating trend in the soil erosion situation, and a significant reduction in intense, very intense and severe erosion. 2) The vegetation cover factor had the highest explanatory power for soil erosion in the high rainfall zone; the factors of land use type, slope, geomorphologic type, soil type, and elevation had a higher explanatory power for soil erosion in the low rainfall zone in 2010, while there was no significant difference in the explanatory power of soil erosion in the different rainfall zones in 2020. 3) In the high rainfall area, the interaction between vegetation cover and other factors has the highest explanatory power for soil erosion. In 2010, in the low rainfall area, the interaction between slope and other factors has a higher explanatory power for soil erosion. There is an obvious pattern of differentiation of the driving factors in different rainfall zones with high risk of soil erosion. From the results of the study, it can be seen that soil erosion in the Chongqing section of the Three Gorges Reservoir Area changes significantly, and there are obvious differences in the combined effects of different driving factors on soil erosion in different rainfall zones.

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胡秋宁,肖作林,刘睿.基于三峡库区重庆段不同降雨分区的土壤侵蚀多因子综合作用分析[J].重庆师范大学学报自然科学版,2023,40(5):55-63

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  • 在线发布日期: 2023-11-23