Transitional relation exploration for typical loess geomorphologic types based on slope spectrum characteristics

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Abstract

Based on the Chinese Geomorphologic Database at 1 : 1 000 000 scales, the distribution of the typical loess geomorphologic types (such as the loess tableland, loess ridge and loess knoll) is acquired in the Loess Plateau of China. Then, based on the SRTM (Shuttle Radar Topography Mission) digital elevation model (DEM) data and topographic analysis methods, the slope spectrums are computed for the typical loess geomorphologic types and their subtypes. Through achieving the tendency line of the slope spectrum and analysing the slope spectrum characteristics of the loess typical geomorphologic types, the transitional relationships are explored: (1) the general rule is that loess tableland transitions to loess ridge, and then to loess knoll. (2) The specific relationships for the subtypes are as follows: in loess tableland, the transition is from loess terrace to complete tableland, then to residual tableland, and finally to beam tableland. In the loess ridge, the transition is from oblique ridge to knoll ridge, and the final stage is the loess knoll.

Figures

  • Figure 1. The workflows in this research.
  • Figure 2. Typical loess geomorphology distribution in the Loess Plateau.
  • Figure 3. Slope distribution status in the Loess Plateau of China.
  • Table 1. Numerical statistics for the slope of different geomorphologic units (◦).
  • Figure 5. Slope class distribution status in the typical loess geomorphologic area of the Loess Plateau.
  • Figure 4. Slope distribution status in the typical loess geomorphologic area of the Loess Plateau.
  • Table 2. Distribution status of the slope intervals for the typical loess geomorphologic types.
  • Table 3. Distribution status of the slope intervals for the subtypes of the loess tableland.

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CITATION STYLE

APA

Zhao, S., & Cheng, W. (2014). Transitional relation exploration for typical loess geomorphologic types based on slope spectrum characteristics. Earth Surface Dynamics, 2(2), 433–441. https://doi.org/10.5194/esurf-2-433-2014

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