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    基于3DLS的土壤侵蚀时空分异特征及机理研究

    Study on spatial and temporal differentiation characteristics and mechanism of soil erosion based on three-dimensional laser scanning

    • 摘要: 【目的】在全球气候变化与极端降雨频发的背景下,实现土壤侵蚀的精准监测与机理揭示对保障生态安全至关重要。本研究通过三维激光扫描技术与地貌信息熵理论,构建了用于量化土壤侵蚀时空分异特征及揭示其驱动机制的技术体系。【方法】基于室内模拟降雨试验,以黄土丘陵沟壑区桥沟小流域概化模型为研究对象,设置不同雨强(30、60、120 mm/h)与淤地坝配置(无坝、单坝、双坝)共6组试验,利用三维激光扫描仪获取侵蚀前后高分辨率地形点云数据,进一步获取数字高程模型(DEM),结合地貌信息熵理论,系统解析侵蚀-沉积的空间分布、强度变化及其对降雨与水土保持措施的响应机制。【结果】结果表明,侵蚀主要发生在坡面与沟道,沉积集中于沟道缓坡或低洼处;淤地坝可有效拦截泥沙、调节径流,在中低雨强下减蚀效益显著,但其效益在高强度暴雨中减弱;地貌信息熵增长率与地形起伏度正相关,最大坡度区域熵增高达14.34%,证实其可作为表征侵蚀强度的有效指标。【结论】本研究证实了三维激光扫描技术与地貌信息熵理论结合在精准量化土壤侵蚀过程、评估水保措施效益及揭示侵蚀机理方面的巨大潜力,为土壤侵蚀研究与防治提供了可靠的技术途径与理论依据。

       

      Abstract: 【Objective】 Against the backdrop of global climate change and frequent extreme rainfall events, achieving precise monitoring and mechanistic understanding of soil erosion is essential for ensuring ecological security. This study integrates 3D laser scanning technology and geomorphological information entropy theory to establish a technical framework for quantifying the spatiotemporal characteristics of soil erosion and elucidating its driving mechanisms. Methods Indoor simulated rainfall experiments were conducted using a generalized physical model of the Qiaogou small watershed in the loess hilly-gully region. Six experimental scenarios were designed with varying rainfall intensities (30, 60, and 120 mm/h) and check dam configurations (no dam, single dam, double dam). High-resolution topographic point cloud data before and after erosion were acquired using a 3D laser scanner. Digital Elevation Models (DEMs) were generated, and combined with geomorphological information entropy theory, to systematically analyze the spatial distribution of erosion–deposition, intensity changes, and their responses to rainfall and soil conservation measures. Results The results indicate that erosion primarily occurred on slopes and gullies, while deposition was concentrated in gentle slope sections or low-lying areas of gullies. Check dams effectively intercepted sediment and regulated runoff, significantly reducing erosion under low and medium rainfall intensities, though their effectiveness diminished under high-intensity storm conditions. The growth rate of geomorphological information entropy was positively correlated with topographic relief, with the steepest areas showing the most significant entropy increase (up to 14.34%), confirming its utility as an effective indicator of erosion intensity. Conclusion This study demonstrates the strong potential of combining 3D laser scanning technology and geomorphological information entropy theory for accurately quantifying soil erosion processes, evaluating the effectiveness of soil and water conservation measures, and revealing underlying erosion mechanisms. It provides a robust technical and theoretical foundation for soil erosion research and control.

       

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