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Application of Chebyshev theorem to data preparation in landslide susceptibility mapping studies:an example from Yenice(Karabük,Turkey)region

引用

Journal of Mountain Science 2016年第11期13卷 1923-1940页

作者： Murat ERCANOGLU Gülseren DAGDELENLER Erman OZSAYIN tolga alkevli Harun SONMEZ N.Nur OZYURT Burcu KAHRAMAN Ibrahim UCAR Sinem CETINKAYA Hacettepe University Geological Engineering Department06800BeytepeAnkaraTurkey Gazi University Civil Engineering Department06500TeknikokullarAnkaraTurkey

Landslide database construction is one of the most crucial stages of the landslide susceptibility mapping *** there are many techniques for preparing landslide database in the literature,representative data selection from huge data sets is a challenging,and,to some extent,a subjective ***,in order to produce reliable landslide susceptibility maps,data-driven,objective and representative database construction is a very important stage for these *** study mainly focuses on a landslide database construction *** this study,it was aimed at building a representative landslide database extraction approach by using Chebyshev theorem to evaluate landslide susceptibility in a landslide prone area in the WesternBlack Sea region of *** study area was divided into two different parts such as training(Basin 1) and testing areas(Basin 2).A total of nine parameters such as topographical elevation,slope,aspect,planar and profile curvatures,stream power index,distance to drainage,normalized difference vegetation index and topographical wetness index were used in the ***,frequency distributions of the considered parameters in both landslide and nonlandslide areas were extracted using different sampling strategies,and a total of nine different landslide databases were *** these,eight databases were gathered by the methodology proposed by this study based on different standard deviations and algebraic multiplication of raster parameter *** evaluate landslide susceptibility,Artificial Neural Network method was used in thestudy area considering the different landslide and nonlandslide ***,to assess the performance of the so-produced landslide susceptibility map based on nine data sets,Area Under Curve(AUC approach was implemented both in Basin 1 and *** best performances(the greatest AUC values were gathered by the landslide susceptibility map produced by two standard deviation databas extracted by the Chebyshev theore

关键词：人工的神经网络 Chebyshev 定理山崩山崩数据库印射的山崩危险性

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