STATISTICAL-MODELS FOR SLOPE INSTABILITY CLASSIFICATION

被引：92

作者：

JADE, S

SARKAR, S

机构：

[1] C-MMACS, National Aerospace Laboratories, Bangalore, 560037, Belur Campus

[2] Central Building Research Institute, Roorkee

来源：

ENGINEERING GEOLOGY | 1993年 / 36卷 / 1-2期

关键词：

D O I：

10.1016/0013-7952(93)90021-4

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

Statistical models for reliable hazard assessment of landslides in a given area are presented. The models are based on information theory and regression analysis. Information theory is a branch of probability in which the most significant feature is unpredictability and regression analysis is based on simple statistical theory. Both methods of statistical prediction have been applied to slope instability to provide cross validation of the results. A FORTRAN 77 program for computer-aided assessment of the landslide hazard has been developed. The program considers the factors affecting the slope instability and history of past landslides of the area as its input. The program also calculates the information and regression value in a given area and classifies the area into different grades of instability. A case study of landslide hazard assessment of a 66 km(2) area in parts of the AIkananda valley, the Gharwal Himalaya is presented. The factors considered in the analysis are angle and height of the slope, rock type and geological structures such as faults and thrusts. The results obtained are illustrated in the form of landslide hazard maps. The predicted results are compared by the above methods.

引用

页码：91 / 98

页数：8

共 9 条

[1]

Carrara, Multi-variate models for landslide hazard evaluation, Math. Geol., 15, 3, pp. 403-425, (1983)

[2]

Hayashi, Quantification methods from the mathematics-statistical point of view, Res. Mem. Inst. Stat. Math., 1, 1, 2, 3, 11, (1950)

[3]

Hayashi, On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematico-statistical point of view, Annals of the Institute of Statistical Mathematics, 3, pp. 69-98, (1952)

[4]

Hayashi, Higuchi, Komazawa, Information Processing and Statistical Mathematics, (1970)

[5]

Haruyama, Kitamura, An evaluation method by the quantification theory for the risk degree of landslide caused by rainfall in active volcanic area, Int. Symp. Landslides, pp. 435-440, (1984)

[6]

Kawakami, Saito, Landslide risk mapping by quantification method, Int. Symp. Landslides, pp. 535-540, (1984)

[7]

Kumar, Agrawal, Geology of the Srinagar-Nandprayag area, Chomoli, Garhwal and Tehri Garhwal Districts, Kumaon Himalaya, Uttar pradesh, Himalayan Geology, 5, pp. 25-29, (1975)

[8]

Varnes, Landslide hazard zonation, Review of principles and practices and Commission on landslides and other mass movements on slopes: Revised version, pp. 1-116, (1981)

[9]

Yin, Yan, Statistical prediction models for slope instability of metamorphosed rocks, Int. Symp. Landslides, pp. 1269-1272, (1988)

← 1 →