SINMAP (Stability Index Mapping) software is an ArcView extension developed by Environmental Systems
Research Institute (ESRI) that is used to evaluate landslide risk at basin scale. SINMAP classification utilizes
stability index values calculated at basin scale. The theoretical basis of SINMAP is an infinite slope stability
model. A digital elevation model (DEM) is used to identify variables such as slope, soil moisture, and flow
directions; and also takes into account factors such as permeability, water retention capacity, friction and root
structure that might affect slope status. However, various difficulties might be encountered in calculating certain
variables, which are therefore characterized by standard distribution within certain limits based on soil,
vegetation and geological data. The software allows interactive calibration of variables according to observed
landslide distribution. Using the variables reduces the possibility of assigning a low stability index in areas
where no landslides are observed, whereas the possibility of observing landslides in areas with low stability
index can be increased. In this study, a model developed by Pack et al. (2001) is explained according to infinite
slope stability model and topographic wetness index. These two components are used to define SI in Sökü
Department of Forestry.
SINMAP (Stability Index Mapping) software is an ArcView extension developed by Environmental Systems
Research Institute (ESRI) that is used to evaluate landslide risk at basin scale. SINMAP classification utilizes
stability index values calculated at basin scale. The theoretical basis of SINMAP is an infinite slope stability
model. A digital elevation model (DEM) is used to identify variables such as slope, soil moisture, and flow
directions; and also takes into account factors such as permeability, water retention capacity, friction and root
structure that might affect slope status. However, various difficulties might be encountered in calculating certain
variables, which are therefore characterized by standard distribution within certain limits based on soil,
vegetation and geological data. The software allows interactive calibration of variables according to observed
landslide distribution. Using the variables reduces the possibility of assigning a low stability index in areas
where no landslides are observed, whereas the possibility of observing landslides in areas with low stability
index can be increased. In this study, a model developed by Pack et al. (2001) is explained according to infinite
slope stability model and topographic wetness index. These two components are used to define SI in Sökü
Department of Forestry.
Birincil Dil | İngilizce |
---|---|
Konular | Biyomateryaller |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 1 Haziran 2012 |
Yayımlandığı Sayı | Yıl 2012 Cilt: 14 Sayı: 22 |
Bartin Orman Fakultesi Dergisi Editorship,
Bartin University, Faculty of Forestry, Dean Floor No:106, Agdaci District, 74100 Bartin-Turkey.
Tel: +90 (378) 223 5094, Fax: +90 (378) 223 5062,
E-mail: bofdergi@gmail.com