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An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic
文献类型:期刊论文
作者 | Zhu, A-Xing1,2; Wang, Rongxun2; Qiao, Jianping4![]() ![]() |
刊名 | GEOMORPHOLOGY
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出版日期 | 2014-06-01 |
卷号 | 214页码:128-138 |
关键词 | Landslide susceptibility mapping Expert knowledge-based approach Fuzzy logic Geographic information system |
ISSN号 | 0169-555X |
通讯作者 | Zhu, A-Xing ; Qiao, Jianping |
英文摘要 | This paper presents an expert knowledge-based approach to landslide susceptibility mapping in an effort to overcome the deficiencies of data-driven approaches. The proposed approach consists of three generic steps: (1) extraction of knowledge on the relationship between landslide susceptibility and predisposing factors from domain experts, (2) characterization of predisposing factors using GIS techniques, and (3) prediction of landslide susceptibility under fuzzy logic. The approach was tested in two study areas in China - the Kaixian study area (about 250 km(2)) and the Three Gorges study area (about 4600 km(2)). The Kaixian study area was used to develop the approach and to evaluate its validity. The Three Gorges study area was used to test both the portability and the applicability of the developed approach for mapping landslide susceptibility over large study areas. Performance was evaluated by examining if the mean 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 for the Kaixian area was 3.70 and the corresponding p-value was less than 0.001. This suggests that the computed landslide susceptibility values are good indicators of landslide occurrences. In the Three Gorges study area, the computed z was 10.75 and the corresponding p-value was less than 0.001. In addition, we divided the susceptibility value into four levels: low (0.0-0.25), moderate (0.25-0.5), high (0.5-0.75) and very high (0.75-1.0). No landslides were found for areas of low susceptibility. Landslide density was about three times higher in areas of very high susceptibility than that in the moderate susceptibility areas, and more than twice as high as that in the high susceptibility areas. The results from the Three Gorge study area suggest that the extracted expert knowledge can be extrapolated to another study area and the developed approach can be used in large-scale projects. Results from these case studies suggest that the expert knowledge-based approach is effective in mapping landslide susceptibility and that its performance is maintained when it is moved to a new area from the model development area without changes to the knowledge base. (C) 2014 Elsevier B.V. All rights reserved. |
WOS标题词 | Science & Technology ; Physical Sciences |
类目[WOS] | Geography, Physical ; Geosciences, Multidisciplinary |
研究领域[WOS] | Physical Geography ; Geology |
关键词[WOS] | 3 GORGES AREA ; HAZARD ASSESSMENT ; ASTER IMAGERY ; LANTAU ISLAND ; YANGTZE-RIVER ; SOIL SURVEY ; HONG-KONG ; CHINA ; INFORMATION ; PREDICTION |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000336345700010 |
源URL | [http://ir.imde.ac.cn/handle/131551/9958] ![]() |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 人事教育处 |
作者单位 | 1.Nanjing Normal Univ, Sch Geog, Nanjing, Jiangsu, Peoples R China 2.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China 5.Univ Minnesota, Dept Geog, Duluth, MN 55812 USA |
推荐引用方式 GB/T 7714 | Zhu, A-Xing,Wang, Rongxun,Qiao, Jianping,et al. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic[J]. GEOMORPHOLOGY,2014,214:128-138. |
APA | Zhu, A-Xing.,Wang, Rongxun.,Qiao, Jianping.,Qin, Cheng-Zhi.,Chen, Yongbo.,...&Zhu, Tongxin.(2014).An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic.GEOMORPHOLOGY,214,128-138. |
MLA | Zhu, A-Xing,et al."An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic".GEOMORPHOLOGY 214(2014):128-138. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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