Geospatial distribution characteristics and key influencing factors of mountain torrents in Guangdong Province, China

doi:10.7523/j.issn.2095-6134.2021.05.005

Abstract

Abstract: According to the data from mountain torrent sites, the geospatial distribution regularity of mountain torrents was first explored. Second, six influencing factors such as relative relief, slope gradient, drainage density, stratigraphy, average annual 24-hour rainfall, and distance to rivers, were chosen to explore the relationship between torrents and these factors. The study area was classified into 179 801 grid cells, and each cell data of six factors was collected using ArcGIS software. Then, the statistical analysis of the quantity distribution and occurrence probability of torrents was carried out. The results showed that both the quantity and density of torrents in the Hanjiang River basin were the largest in Guangdong Province. In terms of administrative division, Meizhou has the largest quantity of torrents while Chaozhou has the highest density. Results also showed that relationships between the occurrence probability of torrents and the relative relief/slope/drainage density were described by y=a₁e^b₁x+a₂e^b₂x with different fitting constants while relationships between the occurrence probability and the stratigraphy/average annual 24-hour rainfall/distance to rivers could be described by y=ae^bx with different fitting parameters. The study results can provide basis for prevention and control of mountain torrents in Guangdong Province.

Key words: mountain torrents, distribution characteristics, influencing factor, probability method, Guangdong Province

CLC Number:

P954

WANG Jun, YU Yan, GONG Qinghua, YUAN Shaoxiong, CHEN Jun. Geospatial distribution characteristics and key influencing factors of mountain torrents in Guangdong Province, China[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 611-623.

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