Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

Date

2012-01-01

Author

Süzen, Mehmet Lütfi

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

186
views

0
downloads

The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables into a database. In order to run a series of logistic regression models, different random landslide-free sample sets were produced and combined with seed cells. Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters, lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by absolute methods. All models were field checked with the landslides resulting from the 12 November 1999, Kaynasli Earthquake (Ms = 7.2).

Subject Keywords

Software, General Earth and Planetary Sciences, Computer Science Applications

URI

https://hdl.handle.net/11511/34871

Journal

INTERNATIONAL JOURNAL OF DIGITAL EARTH

DOI

https://doi.org/10.1080/17538947.2011.586443

Collections

Department of Geological Engineering, Article

Suggestions

OpenMETU
Core

Evaluation of the NDVI in plant community composition mapping: a case study of Tersakan Valley, Amasya County, Turkey DOĞAN, Hakan Mete; Celep, Ferhat; Karaer, Fergan (Informa UK Limited, 2009-01-01) Mapping the composition of plant community types requires reliable spatial data obtained from field surveys and satellite-derived indices. The normalized difference vegetation index (NDVI) is the simplest and most frequently used index in plant applications. If relationships between the NDVI and plant cover abundance are determined, this information can be used in the mapping process. In this study, we investigated these possible connections for mapping the plant community composition of Tersakan Valley in ...
Statistical tolerancing using designed experiments in a noisy environment Köksal, Gülser (Elsevier BV, 2003-03-01) We consider the method of designed experiments for statistical tolerance analysis, and study the impact of experimental error on its results.-It is observed that presence of random error in the experiment environment (e.g. laboratory) could introduce bias in the moment estimators and increases their-respective variances. We propose adjustments to the method that would reduce the bias as well as the variance of these estimators. A numerical example is presented.
Integration of environmental variables with satellite images in regional scale vegetation classification Domaç, Ayşegül; Süzen, Mehmet Lütfi; Bilgin, Cemal Can (Informa UK Limited, 2006-04-01) The difficulty of collecting information at conventional field studies and relatively coarse spatial and spectral resolution of Landsat images forced the use of environmental variables as ancillary data in vegetation mapping. The aim of this study is to increase the accuracy of species level vegetation classification incorporating environmental variables in the Amanos Mountains region of southern central Turkey. In the first part of the study, ordinary vegetation classification is attained by using a maximu...
Comparison of different yield criteria in various deep drawn cups Cogun, Ferah; Darendeliler, Haluk (Springer Science and Business Media LLC, 2017-03-01) The aim of the study is to evaluate the performance of three recent yield criteria namely; BBC2008-8p, Yld2003-8p, Hu2003 through the simulation of the hemispherical, cylindrical and square cup drawing processes by comparing the results with the ones obtained by using the von Mises criterion for the isotropic, kinematic and combined hardening and the Hill'48 criterion. For this purpose, two different sheet materials, SS304 stainless steel and DKP6112 steel, and various punch travels were used in the simulat...
Effect of watershed partitioning on hydrologic parameters and estimation of hydrograph of an ungauged basin: a case study in Gokirmak and Kocanaz, Turkey Kocyigit, Musteyde Baduna; Akay, Huseyin; Yanmaz, Ali Melih (Springer Science and Business Media LLC, 2017-08-01) The main goal of this study is to investigate the effect of the size of the subbasins of a watershed on the hydrologic parameters and their spatial variability in an estimation of the hydrologic parameters and hydrograph of a neighbouring ungauged basin. In this paper, Hydrologic Engineering Center-Hydrologic Modelling System (HEC-HMS), a semi-distributed hydrologic model, is used to calibrate and cross-validate two flood events occurred in 1998 and then validate four other flood events occurred in 1991, 19...

Citation Formats

M. L. Süzen, “Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping,” INTERNATIONAL JOURNAL OF DIGITAL EARTH, pp. 338–355, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34871.