Original Articles

A Landslide Susceptibility Mapping Approach Using Exper t Knowledge and Fuzzy Logic Under GIS

  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China|
    2. Department of Geography, University of Wisconsin Madison, 550N, Park Street, Madison 53706, USA|
    3. Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China

Received date: 2006-06-01

  Revised date: 2006-07-01

  Online published: 2006-07-25


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.

Cite this article

ZHU Axing,PEI Tao,QIAO JianPing,CHEN Yongbo,ZHOU Chenghu,CAI Qiangguo . A Landslide Susceptibility Mapping Approach Using Exper t Knowledge and Fuzzy Logic Under GIS[J]. PROGRESS IN GEOGRAPHY, 2006 , 25(4) : 1 -12 . DOI: 10.11820/dlkxjz.2006.04.001


[1] Carrara A, Cardinali M, Detti R et al. GIS techniques and statistical models in evaluating landslide hazard. Earth Surface Processes and Landforms, 1991, 16: 427~445.

[2] Carrara A, Guzzetti F, Cardinali M, et al. Use of GIS technology in the prediction and monitoring of landslide hazard. Natural Hazards, 1999, 20: 117~135.

[3] Gritzner M L, Marcus W A, Aspinall R, et al. Assessing landslide potential using GIS, soil wetness modeling and topographic attributes, Payette River, Idaho. Geomorphology, 2001, 37: 149~165.

[4] 赵建华, 杨树锋, 陈汉林等. 浙江庆元地区滑坡灾害的多要素评价. 高校地质学报, 2002, 8(4): 460~465.

[5] Qiao J P, Zhu A X, Chen Y B et al. A 3D visible evaluation of landslide risk degree under integration of GIS and artificial intelligence. Science in China E: Engineering & Materials Science, 2003, 46: 142~147.

[6] Dai F C, Lee C F, Ngai Y Y. Landslide risk assessment and management: an overview. Engineering Geology, 2002, 64: 65~87.

[7] Carrara, A and Guzzetti, F. Geographical Information Systems in Assessing Natural Hazards. Klumer Academic Publisher, Boston, U.S.A, 1995.

[8] Finlay P J, Fell R Maguire P K. The relationship between the probability of landslide occurrence and rainfall. Canadian Geotechnical Journal, 1997, 34: 811~824.

[9] Miller D J, Sias J. Deciphering large landslides: linking hydrological, groundwater and slope stability models through GIS. Hydrological Processes, 1998, 12: 923~941.

[10] Franks C A M. Characteristics of some rainfall- induced landslides on natural slopes, Lantau Island, Hong Kong. Quarterly Journal of Engineering Geology, 1999, 32: 247~259.

[11] Dai F C, Lee C F. Frequency- volume relation and prediction of rainfall- induced landslides. Engineering Geology, 2001, 59: 253~266.

[12] 殷坤龙, 朱良峰. 滑坡灾害空间区划及GIS 应用研究. 地学前缘, 2001, 8(2): 279~284.

[13] Dai F C, Lee C F. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology, 2002, 42: 213~228.

[14] Zhu AX, Wang R X, Qiao J P, et al. Mapping landslide susceptibility in the Three Gorge Area, China using GIS, expert systems and fuzzy logic, In: Chen Y B, Takara K, Cluckie I et al., eds., GIS and Remote Sensing in Hydrology, Water Resources and Environment, IAHS Publication 289 (IAHS Red Book). International Association of Hydrological Sciences, Wallingford, UK, 2004, 385~391.

[15] Wu S R, Shi L, Wang R J. Zonation of the landslide hazards in the forereservoir region of the Three Gorges Project on the Yangtze River. Engineering Geology, 2001, 59: 51~58.

[16] 王尚庆. 长江三峡滑坡监测预报, 北京: 地质出版社, 1999.

[17] 向立斌, 覃德富. 三峡库区滑坡泥石流预警指南. 武汉: 武汉水利电力大学出版社, 1999.

[18] Terrain Analytics LLC, 2003. www.terrainanalytics.com