基于RULSE模型的辽东土壤保持时空变化及驱动力分析
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1.沈阳建筑大学;2.沈阳建筑大学交通与测绘工程学院

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S157

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Spatiotemporal Changes and Driving Forces of Soil Conservation in Eastern Liaoning Based on the RULSE Model
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Shenyang Jianzhu University

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    摘要:

    为明确辽东地区土壤侵蚀与保持能力的时空演变规律及其驱动机制,研究基于修正通用土壤流失方程(Revised Universal Soil Loss Equation,简称RUSLE),计算辽东地区2002、2007、2012、2017、2022年的土壤侵蚀模数与土壤保持量,分析其时空演变特征并利用地理探测器量化不同影响因子对土壤保持强度空间分异性的解释力。结果表明:辽东地区土壤侵蚀强度以轻度或者微度为主,中度及以上侵蚀主要分布于中部地区。土壤保持量呈先增长后降低的趋势,高保持强度区同样集中在中部区域。高程(q=0.2513)、降雨量(q=0.1958)和NDVI(q=0.1817)是土壤保持强度空间分异性的主要驱动因子;其中降雨量与高程的交互作用解释力最强(q=0.3987)。建议未来重点加强辽东中部及高海拔地区的水土治理与生态防护措施。

    Abstract:

    To clarify the spatiotemporal evolution patterns and driving mechanisms of soil erosion and conservation capacity in the Liaodong region, this study, based on the Revised Universal Soil Loss Equation (RUSLE), calculated the soil erosion modulus and soil conservation amount for the years 2002, 2007, 2012, 2017, and 2022 in the Liaodong region. The spatiotemporal evolution characteristics were analyzed, and a geodetector was used to quantify the explanatory power of different influencing factors on the spatial differentiation of soil conservation intensity. The results indicate that soil erosion intensity in the Liaodong region is primarily mild or slight, while moderate and higher levels of erosion are mainly distributed in the central area. The soil conservation amount initially increased and then decreased, with high conservation intensity areas also concentrated in the central region. Elevation (q=0.2513), rainfall (q=0.1958), and NDVI (q=0.1817) are the main driving factors for the spatial differentiation of soil conservation intensity. Among these, the interaction between rainfall and elevation has the strongest explanatory power (q=0.3987). It is recommended that future efforts focus on strengthening soil and water management and ecological protection measures in the central and high-altitude areas of Liaodong.

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  • 收稿日期:2026-01-07
  • 最后修改日期:2026-04-23
  • 录用日期:2026-05-07
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