| Institute of Geomechanics, Chinese Academy of Geological Sciences | Host |
| Citation: |
QI Xin, HUANG Bo-lin, LIU Guang-ning, WANG Shi-chang. LANDSLIDE SUSCEPTIBILITY ASSESSMENT IN THE THREE GORGES AREA, CHINA, ZIGUI SYNCLINAL BASIN, USING GIS TECHNOLOGY AND FREQUENCY RATIO MODEL[J]. Journal of Geomechanics, 2017, 23(1): 97-104.
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LANDSLIDE SUSCEPTIBILITY ASSESSMENT IN THE THREE GORGES AREA, CHINA, ZIGUI SYNCLINAL BASIN, USING GIS TECHNOLOGY AND FREQUENCY RATIO MODEL
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Abstract
The Three Gorgesarea, China, Zigui synclinal basin is selected as a case study in this paper. Based on the field of landslide mapping, in the frequency ratio model, slope angle, lithology, rivers, roads, aspect and beeding-aspect this six assessment factors are considered to assess landslide susceptibility by overlaying analysis using GIS technology to calculate the contribution rate separately, Ultimately, landslide susceptibility area is divided into four partitions. The results shows that the vey high susceptibility area accounts for 21.39 percent and landslide area accounts for 61.44 percent. high susceptibility area accounts for 24.99 percent and landslide area accounts for 21.67 percent. Moderate susceptibility area accounts for 30.66 percent and landslide area accounts for13.19 percent. Low susceptibility area accounts for 22.93 percent and landslide area accounts for 3.69 percent. The cumulative percentage curve of landslide susceptibility area shows that the results are highly accurant and reliable, what to provide scientific support for the government about disaster prevention and reducing engineering, and provide scientific basis to landslide forecast and management.
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References
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QI Xin, HUANG Bo-lin, LIU Guang-ning, WANG Shi-chang. LANDSLIDE SUSCEPTIBILITY ASSESSMENT IN THE THREE GORGES AREA, CHINA, ZIGUI SYNCLINAL BASIN, USING GIS TECHNOLOGY AND FREQUENCY RATIO MODEL[J]. Journal of Geomechanics, 2017, 23(1): 97-104.
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Figure 1.
The distribution map of landslides in the study area
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Figure 2.
The landslide group of Yanping
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Figure 3.
Topographic slope classification map of the study area
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Figure 4.
The Lithology classification figure of the study area
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Figure 5.
The aspect classification figure of the study area
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Figure 6.
Stream Buffer classification figure of the study area
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Figure 7.
Road Buffer classification figure of the study area
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Figure 8.
The bedding-aspect classification criteria
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Figure 9.
The bedding-aspect classification figure of the study area
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Figure 10.
The zoning map of landslide susceptibility
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Figure 11.
The percentage histogram between zoning area of landslide susceptibility and landslide area
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Figure 12.
Requency ratio model shows cumulative percentage curve of landslide sensitive area