Using GIS-based multi-criteria decision support system for developing storm damage risk map

Authors : İnanç TAŞ, Abdullah Emin AKAY

Pages : 7-13

View : 32 | Download : 33

Publication Date : 2023-06-27

Article Type : Research Paper

Abstract :Winter storm damages have crucial effect on different tree species and cause significant losses in many regions in Turkey. In a winter storm, trees can break or be thrown if stem and root plates overturn. The most important factors affecting the severity of damage caused by storms on forest trees are tree species, tree age insert ignore into journalissuearticles values(stage);, crown closure, topographic features insert ignore into journalissuearticles values(elevation, slope);, and climate parameters insert ignore into journalissuearticles values(wind, precipitation);. Coniferous species are more susceptible to storms than deciduous species. The storm damage impact on trees increases with tree age and the density of the stand. Although the storm damage is lower at low altitudes insert ignore into journalissuearticles values(<150 m);, the damage increases up to a certain altitude insert ignore into journalissuearticles values(1000 m); and decreases again at higher elevations. The highest risk of storm damage is in the middle insert ignore into journalissuearticles values(20-30%); slope groups, while the damage is lower in the low and steep slope groups. Wind speed and direction are climate parameters affecting forest tree storm damage. Pre-storm precipitation causes the soil to loosen and especially contributes to the formation of storm overturns. In order to prevent or minimize storm damage, it is of great importance to develop storm damage maps based on the factors that impact the storm damage. In this study, a storm damage risk map was produced using a GIS-based multi-criteria insert ignore into journalissuearticles values(Analytical Hierarchy Process-AHP); decision support system considering, tree species, tree age, crown closure, elevation, slope, wind speed and direction, and precipitation. The study implemented in Karadag Forest Enterprise Chief in Karacabey province of Bursa. The results indicated that the most effective risk factor was wind speed and wind direction, followed by the slope.
Keywords : Winter storm damage, storm risk map, GIS, AHP