Paper Information

Journal:   JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)   2009 , Volume 16 , Number 4; Page(s) 43 To 61.
 
Paper:  COMPARING THE EFFICIENCY OF STATISTICAL AND EMPIRICAL LANDSLIDE HAZARD ZONATION MODELS IN ALAMOUT WATERSHED
 
Author(s):  MOSAFFAIE J.*, OWNEGH M., MESDAGHI M., SHARIAT JAFARI M.
 
* DEPT. OF WATERSHED MANAGEMENT, GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES
 
Abstract: 

Landslide is one of the natural hazards that makes numerous financial and life damages each year. Using landslide hazard zonation, one can detect susceptible and high potential landslide hazard areas. In this study efficiency of four landslide hazard zonation models including empirical revised Moravarson model, nonweighted Density Area model, weighted Density Area model, and multivariate regression model have been compared at a part of Alamout watershed in general level (1/50000 scale). Landslide distribution map of area was first prepared using air photo interpretations and field studies. After reviewing available resources along with reviewing the benefit of experts, eight parameters including (lithology, slope, aspect, height, distance to fault, land use, rain and earthquake acceleration) were selected as landslide effective factors. Potential landslide hazard maps were also provided with four models using geographic information system (GIS) and crossing layers in Arc GIS software. AHP and pair comparing technique were used for weighting the parameters in weighted Density Area model. This technique was also used for quantifying the qualitative categories of land use, aspect, and lithology parameters in multivariate regression model. Chi square test was used for comparing the difference between hazard classes of models and sum of quality index (Qs) was used for efficiency of models. Results showed that measured chi square rate is meaningful at 99% of confidence interval, and there is suitable dissociation among landslide hazard classes. Three factors including aspect, rain and earthquake acceleration could not be entered to model showing, low correlation between three parameters and occurred landslides. Multivariate regression model was also selected for Alamoute watershed with Qs equal to 0.947.

 
Keyword(s): LANDSLIDE ZONATION, MORA AND VARSON, WEIGTHED DENSITY AREA MODEL, MULTIVARIATE REGRESSION, ALAMOUT WATERSHED
 
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