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首页> 外文期刊>Transactions in GIS: TG >Application of the Hilbert-Huang transform for recognition of active gully erosion sites in the Loess Plateau of China
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Application of the Hilbert-Huang transform for recognition of active gully erosion sites in the Loess Plateau of China

机译：Hilbert-Huang变换在中国黄土高原识别活性沟壑区的应用

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摘要

The loess shoulder-lines are known to be the most critical topographic structural lines in the loess landform area of the Loess Plateau, China. Previous studies have shown that gully erosion activity can be reflected in the dynamic changes of the shoulder-lines. In this study, active gully erosion sites along the shoulder-lines are investigated. Three typical test areas with different loess landforms are selected, and the loess shoulder-lines are derived from 1 m resolution digital elevation models. First, height profiles of the loess shoulder-lines are extracted. Then, from the perspective of frequency domains, active gully erosion sites are identified using the Hilbert-Huang transform (HHT). The experimental results show that the HHT method can effectively mine the intrinsic characteristics of the shoulder-lines. The detailed information components (non-components) and trend components of the height profiles can be obtained via ensemble empirical mode decomposition and a significance test. In addition, the HHT method was employed to identify the instantaneous frequency curve catastrophe points of the loess shoulder-line height profiles, and the physical meaning is clear: a higher frequency denotes greater energy and more severe erosive processes, and the catastrophe point locations represent the active gully erosion sites. Evidence from a recent field survey and a comparison with another method supports the results, indicating that the method proposed in this study could potentially be effective for the exploration and analysis of geomorphologically sensitive locations in loess landform studies.
机译：已知黄土肩部线是黄土高原黄土地球区域中最关键的地形结构线。以前的研究表明，沟壑侵蚀活性可以反映在肩部线的动态变化中。在这项研究中，研究了沿着肩部线的活性沟侵蚀部位。选择具有不同黄土地形的三个典型测试区域，黄土肩部源自1米分辨率数字高度模型。首先，提取黄土肩带线的高度轮廓。然后，从频率畴的角度来看，使用Hilbert-Huang变换（HHT）来识别活性沟侵蚀部位。实验结果表明，HHT方法可以有效地挖掘肩部的内在特征。可以通过集合经验模式分解和显着性测试获得高度分布的详细信息组件（非组件）和趋势分量。此外，使用HHT方法来识别黄土肩部高度剖面的瞬时频率曲线灾难点，物理含义清晰：较高的频率表示更大的能量和更严重的腐蚀过程，并且灾难点位置表示活跃的沟壑侵蚀网站。来自最近的现场调查的证据和与另一种方法的比较支持结果，表明本研究中提出的方法可能是对黄土地质研究中的地貌上敏感地点的探索和分析有效。

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  • 来源
    《Transactions in GIS: TG》 |2019年第1期|共21页
  • 作者

    Li Jilong; Na Jiaming; Yang Xue; Cao Jianjun; Dai Wen; Tang Guoan;

  • 作者单位

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

    Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing Jiangsu Peoples R China;

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  • 正文语种 eng
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