%0 Journal Article %T A Landslide Susceptibility Mapping Approach Using Exper t Knowledge and Fuzzy Logic Under GIS
基于专家知识的滑坡危险性模糊评估方法 %A ZHU Axing %A PEI Tao %A QIAO JianPing %A CHEN Yongbo %A ZHOU Chenghu %A CAI Qiangguo %A
朱阿兴 %A 裴韬 %A 乔建平 %A 陈永波 %A 周成虎 %A 蔡强国 %J 地理科学进展 %D 2006 %I %X Current methods cannot meet the needs of evaluating landslide susceptibility because they cannot incorporate the nonlinear relations between landslide and the inducing factors as well as the different forms of relationships.A new approach integrating the expert knowledge and fuzzy logic is proposed in this paper to evaluate the landslide susceptibility.This method first encodes the knowledge from domain experts into four combinations of environmental factors: 1) the difference between slope gradient and the strata gradient as well as the difference between slope orientation and strata orientation,2) slope gradient and lithology,3) slope height and lithology,and 4) slope shape and lithology,and thus incorporates the relativity between factors into these combination models.Information on variables involved in these combinations is characterized using a set of GIS techniques.The susceptibility of a given location hence can be evaluated by evaluating each combination and overlaying the values from these four combinations.Some parameters in these models are determined by statistical analysis,and others are provided by landslide experts.The approach is applied to a section of the Three Gorges area from Yunyang to Wushan,and a susceptibility map is produced.The result shows that the computed susceptibility values are much higher over areas with landslides than areas without landslides.We conclude that our approach is capable of capturing the landslide susceptibility. %K landslide %K fuzzy induction %K slope susceptibility %K three gorges %K the knowledge from expert
滑坡 %K 模糊推理 %K 滑坡危险性 %K 三峡 %K 专家知识 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=1328CFD3AA22A104E94CC0878E405FDC&aid=B308D46A2046CF01&yid=37904DC365DD7266&vid=C5154311167311FE&iid=E158A972A605785F&sid=CA4FD0336C81A37A&eid=59906B3B2830C2C5&journal_id=1007-6301&journal_name=地理科学进展&referenced_num=2&reference_num=19