[1]BAI Xianfu,DAI Yuqian,YE Liaoyuan,et al.A Fuzzy Logic Modeling of Landslide Susceptibility Mapping in Southwest Yunnan Province Based on GIS and Expert Knowledge[J].Journal of Seismological Research,2022,45(01):118-131.[doi:10.20015/j.cnki.ISSN1000-0666.2022.0013
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
45
Number of periods:
2022 01
Page number:
118-131
Column:
Public date:
2022-01-20
- Title:
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A Fuzzy Logic Modeling of Landslide Susceptibility Mapping in Southwest Yunnan Province Based on GIS and Expert Knowledge
- Author(s):
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BAI Xianfu1; 2; DAI Yuqian1; YE Liaoyuan1; NIE Gaozhong3; XU Shuo2; LUO Weidong2; YU Jiang2; XU Xin2
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(1.Faculty of Geography Science,Yunnan Normal University,Kunming 650050,Yunnan,China)(2.Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)(3.Institute of Geology,China Earthquake Administration,Beijing 100029,China)
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- Keywords:
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landslide susceptibility; expert knowledge; Fuzzy Logic modeling; Constrained Arithmetic Mean method; southwest Yunnan Province
- CLC:
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P315.942
- DOI:
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10.20015/j.cnki.ISSN1000-0666.2022.0013
- Abstract:
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In order to fully identify and effectively reduce the risk of landslide hazards,we presented an approach to landslide susceptibility mapping in southwest Yunnan Province based on the expert knowledge.The approach was tested in two study areas in southwest Yunnan:Nanjian(about 470 km2)and Fengqing-Changning(about 2 300 km2)[KG-*3].The performance of our approach was evaluated by examining if the mean value of the computed susceptibility values at landslide sites was statistically different from that of the entire study area.A Z-score test was used to examine the statistical significance of the difference.The computed Z-score for the Nanjian area was 4.1 and the corresponding P-value was less than 0.001.This suggested that the computed landslide susceptibility values were good indicators of landslide occurrences.In the Fengqing-Changning study area,the computed Z-score was 8.93 and the corresponding P-value was less than 0.001.In addition,we divided the susceptibility value into five levels by the Natural Break Point method.The result sets like:very low(0.0-0.001),low(0.001-0.051),moderate(0.051-0.394),high(0.394-0.557)and very high(0.557-1.0).No landslides were found in areas of very low and low susceptibility.Landslide density was about four times higher in areas of very high susceptibility than that in the high susceptibility areas,and about 10 times as high as that in the moderate susceptibility areas.Results from these case studies suggest that our approach based on expert knowledge is workable in mapping landslide susceptibility and that its performance is maintained when it is applied to a new area.