PREDICTION OF LANDSLIDE HAZARD IN SIKAN RIVER BASIN USING LOGISTIC REGRESSION MODEL

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SARVATI MOHAMMAD REZA; NOSRATI KAZEM; HASSANVANDI SHIMA; MIRBAGHERI BABAK

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Journal: Journal of Range and Watershed Managment Year:2014 | Volume:67 | Issue:1 Page(s): 17-29

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Information Journal Paper

Title

PREDICTION OF LANDSLIDE HAZARD IN SIKAN RIVER BASIN USING LOGISTIC REGRESSION MODEL

Author(s)

SARVATI MOHAMMAD REZA | NOSRATI KAZEM | HASSANVANDI SHIMA | MIRBAGHERI BABAK | Issue Writer Certificate

Keywords

DARREHSHAHR CITYQ2

LANDSLIDESQ2

LOGISTIC REGRESSIONQ2

RISK ZONATIONQ2

SIKAN RIVER BASINQ2

Abstract

Landslides and slope instabilities are major hazards for human activities often causing economic losses and property damages. SIKAN RIVER BASIN (Ilam province) due to the topography, tectonic, lithology, and climate has enough potential for occurrence of this phenomenon. The objectives of this study were to determine effective parameters controlling the landslide occurrence and to prepare zonation map of landslide risk in Sykan River Basin. In view of this, 11 geophysical characteristics including (height, slop, slop direction), geomorphologic (the slop of land surface), geology (lithology, the distance from the fault), hydrography (the distance from the river), coverage, land use (land use and the distance from road, the distance from village), pedology (soil texture), and dependent variable (landslide distribution) were selected an independent variable and were analyzed using LOGISTIC REGRESSION model. The results showed that the influential factors on LANDSLIDES occurrence in the basin are the distance from river, land use, the distance from village, the materials (lithology), slope, and the shape of land surface. Finally, the study area was classified into five major area based on landslide occurrence risk which 19.1 km2 of total area had very low risk, 15.9 km2 had low risk, 14.9 km2 had average risk and 14.6 km2 had high risk and 9.1 km2 had also very high risk. The model evaluation showed a high accuracy 74.2% in the study area. The results of this study can be useful for landslide risk management and for controlling the accelerated parameters.

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APA: Copy

SARVATI, MOHAMMAD REZA, NOSRATI, KAZEM, HASSANVANDI, SHIMA, & MIRBAGHERI, BABAK. (2014). PREDICTION OF LANDSLIDE HAZARD IN SIKAN RIVER BASIN USING LOGISTIC REGRESSION MODEL. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 67(1), 17-29. SID. https://sid.ir/paper/162353/en

Vancouver: Copy

SARVATI MOHAMMAD REZA, NOSRATI KAZEM, HASSANVANDI SHIMA, MIRBAGHERI BABAK. PREDICTION OF LANDSLIDE HAZARD IN SIKAN RIVER BASIN USING LOGISTIC REGRESSION MODEL. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2014;67(1):17-29. Available from: https://sid.ir/paper/162353/en

IEEE: Copy

MOHAMMAD REZA SARVATI, KAZEM NOSRATI, SHIMA HASSANVANDI, and BABAK MIRBAGHERI, “PREDICTION OF LANDSLIDE HAZARD IN SIKAN RIVER BASIN USING LOGISTIC REGRESSION MODEL,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 67, no. 1, pp. 17–29, 2014, [Online]. Available: https://sid.ir/paper/162353/en

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