ZHENG Miaomiao, NIU Shuxuan, ZHENG Hong. A GIS-based Research on Triggering Factors of Erosive Landslide and Collapse in Yanhe River Basin[J]. Bulletin of Soiland Water Conservation, 2016, 36(2): 156-160.
DOI:
ZHENG Miaomiao, NIU Shuxuan, ZHENG Hong. A GIS-based Research on Triggering Factors of Erosive Landslide and Collapse in Yanhe River Basin[J]. Bulletin of Soiland Water Conservation, 2016, 36(2): 156-160. DOI: 10.13961/j.cnki.stbctb.2016.02.030.
A GIS-based Research on Triggering Factors of Erosive Landslide and Collapse in Yanhe River Basin
[Objective] The occurrence and development of landslide and collapse in Yanhe River were taken as an example
the spatial distribution and triggering factors of geological disasters were analyzed in order to provide a basis for disaster prevention and mitigation. [Methods] According to the detailed geological disaster investigation
GIS geological hazards database was constructed
including geographic data
basic geological data
geological disaster points' data and raster data. Triggering factors
such as slope gradient
slope height
slope type
and valley development
etc.
were statistically analyzed. Slope ratio
slope type
vegetation
river valley landforms
stratigraphy
rainfall
residential position
road distance were selected to elucidate the spatial distribution of geological disasters with susceptibility zoning by weighted information method. [Results] Analysis of triggering factors of landslide and collapse showed that landslide were found more frequent in the case with 50 to 100 m slope height and 30° to 45° grade. The density of disaster points in elderly valley is 2 times of the mature stage and 3 times of the juvenile stage. Convex and linear shape slopes are more prone to landslides and collapses; the stability of staircase or umbilicate slope are significantly increased. The acreage of high-prone area is 1 664.96 km2. The density of disaster points is 0.29 point/km2. The middle prone area is 3 102.02 km2. with disaster density of 0.10 point/km2. And the low-prone area is 3 888.99 km2
with disaster density as 0.04 point/km2. [Conclusion] Geological disasters
if investigated in a river basin
its triggering factors and the spatial distribution will be more easily recognized. And disaster prevention and mitigation are more applicable taking a river basin as unit.
Navarro M M, Wohl E E. Geologieal hazard and risk evaluation using GIS[J]. Methodology and Model Applied to Massoeiation of Engineenng Geologists, 1994,25(4):459-481.
Mejia-Navarro M, Wohl E E. Geological hazard and risk evaluation using GIS:Methodology and model applied to Medellin, Colombia[J]. Bulletin of the Association of Engineering Geologists, 1994,31(4):459-481.
Fall M, Azzam R, Noubactep C. A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping[J]. Engineering Geology, 2006,82(4):241-263.