Scientific Quarterly Journal of Geosciences

Scientific Quarterly Journal of Geosciences

Evaluation of statistical methods in landslide hazard analysis

Document Type : Original Research Paper

Authors
Mahmoud Fatemi Aghda 1
Jafar Ghayoumian 2
Aghil Ashghali Farahani 1
1 Geology Department, Tarbiat Moalem University , Tehran, Iran
2 Soil Conservation and Watershed Management Research Center, Tehran, Iran
Abstract
In this research, evaluation of statistical methods in Predication of landslide hazard has been performed using data Processed by Geographic Information System (GIS) For this purpose, Rudbar area as an appropriate example for north part of the Iran was selected.
Our investigation indicates that lithology distance from faults, vegetation cover, land use, rain fall, and maximum acceleration rate are the main landslide controlling factors in the area. Each of these factors was used as a thematic layer for landslide hazard zonation mapping.
Univariate and multivariate statistical analysis were used for landslide hazard analysis. Regression analysis indicates that classification of each parameter map into a number of relevant classes such as slope, rainfall, ... reduces accuracy of prediction. Also weighting of samples based on area of each unit and landslide occurrence increase accuracy.
In general, among univariate statistical analysis, area density method represents better results. Multivariate analysis indicates appropriate results for continuous data compared to discrete data. On the other hand, weighting of samples based on values such as area of ground units or percentage of landslide in each unite improves the results.
Keywords
Statistical methods
landslide hazard analysis
prediction
GIS
multivariate analysis
regression analysis
landslide controlling factors

Subjects

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Scientific Quarterly Journal of Geosciences
Volume 12, 47-48
Spring & Summer 2003, Vol. 12, No. 47-48
Autumn 2003
Pages 28-47