International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 125–131, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-125-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 125–131, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-125-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

FRACTAL-BASED SPATIAL DISTRIBUTION ANALYSIS OF GEOLOGICAL HAZARDS AND MEASUREMENT OF SPATIAL ASSOCIATION WITH HAZARD-RELATED PREDISPOSING FACTORS

Q. Hu1,2,3, Y. Zhou2,3, S. X. Wang2,3, F. T. Wang2,3, and H. J. Wang1,2,3 Q. Hu et al.
  • 1University of Chinese Academy of Sciences, Beijing, China
  • 2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
  • 3Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

Keywords: Fractal dimension, Landslide, Collapse, Mudslide, Predisposing factor, China

Abstract. Fractal model as an effective solution to complex nonlinear problems or phenomena has been widely used to describe such complicated phenomenon as geological hazards. Quantitative analysis of the spatial distribution characteristics of geological hazards and measuring its fractal relation on a national scale are significant for the geological hazards prevention or mitigation. In this contribution, firstly, three typical geological hazards, such as landslides, collapses and mudslides, were taken as research objects for fractal analysis, and a detailed hazard inventory including 109,008 landslides, 55,178 collapses, and 28,914 mudslides cases were compiled as data samples. Next, the fractal dimensions describing the spatial distribution characteristics of geological hazard densities were calculated by the invariant fractal model, and then the internal classification of five common predisposing factors (elevation, slope, aspect, NDVI, and precipitation) was applied, and the relative density of geological hazard was calculated by the ratio of "hazard ratio" and "grid ratio" on the basis of 1 km × 1 km grid cells. Finally, the variable fractal model was introduced for measuring the spatial association among three typical geological hazards and five common predisposing factors, and the obtained fractal dimensions were regarded as the quantitative measure of the effect of predisposing factors on geological hazards. The results shows that the fractal dimensions of spatial distribution of landslide, collapse and mudslide densities are 1.3042, 1.5185 and 1.5897, respectively. Moreover, the relative densities of geological hazards also follows the fractal features with hazard-related predisposing factors, the elevation factor has the greatest impact on the landslide, collapse, and mudslide hazard, while other predisposing factors have different effects on different types of geological hazards.