GEOGRAPHICAL INFORMATION SYSTEMS BASED USING LOGISTIC REGRESSION LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF THE ÇUBUK-KALECİK (ANKARA) BETWEEN ŞABANÖZÜ (ÇANKIRI) REGION

Autor: ELMACI, Hasan, TEKİN, Senem, ÜNSAL, Nail
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Volume: 155, Issue: 155 175-186
Bulletin of the Mineral Research and Exploration
ISSN: 0026-4563
Popis: Landslides occur frequently in particular is in certain parts in our country as well as in the world, iscaused from time to time to return to natural disasters and signifi cant social and economic losses.In this study, landslide susceptibility analysis Çubuk-Kalecik (Ankara) between Şabanözü (Çankırı)were performed totally 2360 km2 area. According to the inventory map that represents about5,16 % of the spatial distribution of landslide at study area, landslide movement is generally seenas the type of the existing rotational slip. According to the Turkish Landslide Inventory databaseprepared by MTA, 876 landslides covering 122 km2 were identifi ed in the study area. A total oftwelve independent variables for the landslide conditioning factors were used in the susceptibilityassessments, being as lithological maps, landform classifi cation, digital elevation model, slope,profi le, plan, and tangent curvatures, roughness index, slope / aspect ratio, stream power index,topographic position index. Landslide susceptibility assessment was carried out using multivariatelogistic regression method, one of statistical methods. The mapping unit 25 *25 m pixels are usedfor statistical assessment. The obtained probability values of landslide susceptibility maps are verylow and very high was evaluated in fi ve grades in the range. Performance evaluation of susceptibilitymaps were performed with using receiver operating characteristic (ROC) and prediction success ratecurves. The area under the ROC curves were found to be in 0,794. Susceptibility map, high and verysusceptible regions correspond to 27 % of the study area. 78 % of the landslides are in medium, highand very susceptible regions.The accomplished landslide susceptibility map with relatively highperformance could be used during the medium scale planning strategies.
Databáze: OpenAIRE