4.0 Article

An avalanche hazard model for Bitlis Province, Turkey, using GIS based multicriteria decision analysis

Journal

TURKISH JOURNAL OF EARTH SCIENCES
Volume 22, Issue 4, Pages 523-535

Publisher

SCIENTIFIC TECHNICAL RESEARCH COUNCIL TURKEY-TUBITAK
DOI: 10.3906/yer-1201-10

Keywords

Avalanche; multicriteria decision analysis (MCDA); geographic information system (GIS); analytic hierarchy process (AHP); sensitivity analysis; Bitlis; Turkey

Ask authors/readers for more resources

Most avalanche fatalities in Turkey have occurred in Bitlis Province. The scope of this research was to identify the avalanche hazard area of that province, using geographical information system (GIS) based multicriteria decision analysis (MCDA) and to evaluate it by means of sensitivity and accuracy analysis. The model consists of 5 GIS layers: elevation, slope, aspect, vegetation density, and land use. The hazard model is obtained by using a comparison matrix where all identified criteria of GIS layers are compared against each other. The acceptability of the model was determined using historical events. All of these events plotted over the model showed that there is a remarkable coincidence with high hazard areas. Approximately 90% of avalanche events have occurred in the high and moderately high areas. Settlement areas cover approximately 39,741 ha of study area and just 41 settlement areas (villages and towns) have ideal topographic characteristics to prevent avalanche hazard, while 82% of them are not suitable. The avalanche hazard model shows that the southeast and southwest parts of Bitlis (Center), Tatvan, and Hizan counties have the highest avalanche hazard. Therefore, site planning, construction of supporting structures, and control programs should be effectively integrated with avalanche pathways in potential areas.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.0
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available