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Information Journal Paper

Title

ZONING THE RISK OF MASS MOVEMENT OCCURRENCES USING LOGISTIC REGRESSION MODEL, CASE STUDY IN VICINITY OF SANANDAJ-DEHGOLAN ROAD

Pages

  27-37

Abstract

 The area surroundings the SANANDAJ - DEHGOLAN road, in terms of geological and geomorphologic structure is prone to MASS MOVEMENT occurrences. In the present study, considering the nature of MASS MOVEMENTs, the LOGISTIC REGRESSION model has been used for zoning the probability of MASS MOVEMENT occurrences. MASS MOVEMENT events were recognized using GIS and satellite image of ETM+ and Ikonos. We have applied layers of slope, aspect, elevation, geology, distance to fault, drainage density, distance to road, as independent variables in the model. After we tested the significance of each independent variable in the model and evaluated the rate of fitting of the model, finally the map on ZONING THE RISK of MASS MOVEMENT occurrences in the study area has been classified in five orders as very low, low, median, high, and very high which in area are up to 34, 22, 17, 9, and 3 km2 respectively.

Cites

References

Cite

APA: Copy

HOSSEINZADEH, M.M., SARVATI, M.R., MANSORI, A., MIRBAGHARI, B., & KHAZRI, S.. (2009). ZONING THE RISK OF MASS MOVEMENT OCCURRENCES USING LOGISTIC REGRESSION MODEL, CASE STUDY IN VICINITY OF SANANDAJ-DEHGOLAN ROAD. IRANIAN JOURNAL OF GEOLOGY, 3(11), 27-37. SID. https://sid.ir/paper/129359/en

Vancouver: Copy

HOSSEINZADEH M.M., SARVATI M.R., MANSORI A., MIRBAGHARI B., KHAZRI S.. ZONING THE RISK OF MASS MOVEMENT OCCURRENCES USING LOGISTIC REGRESSION MODEL, CASE STUDY IN VICINITY OF SANANDAJ-DEHGOLAN ROAD. IRANIAN JOURNAL OF GEOLOGY[Internet]. 2009;3(11):27-37. Available from: https://sid.ir/paper/129359/en

IEEE: Copy

M.M. HOSSEINZADEH, M.R. SARVATI, A. MANSORI, B. MIRBAGHARI, and S. KHAZRI, “ZONING THE RISK OF MASS MOVEMENT OCCURRENCES USING LOGISTIC REGRESSION MODEL, CASE STUDY IN VICINITY OF SANANDAJ-DEHGOLAN ROAD,” IRANIAN JOURNAL OF GEOLOGY, vol. 3, no. 11, pp. 27–37, 2009, [Online]. Available: https://sid.ir/paper/129359/en

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