GIS-based landslide susceptibility mapping models applied to natural and urban planning in Trikala, central Greece

dc.contributor.author	Bathrellos, GD	en
dc.contributor.author	Kalivas, DP	en
dc.contributor.author	Skilodimou, HD	en
dc.date.accessioned	2014-06-06T06:49:25Z
dc.date.available	2014-06-06T06:49:25Z
dc.date.issued	2009	en
dc.identifier.issn	03670449	en
dc.identifier.uri	http://dx.doi.org/10.3989/egeol.08642.036	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/4584
dc.subject	Central greece	en
dc.subject	GIS	en
dc.subject	Landslide susceptibility models	en
dc.subject	Maps	en
dc.subject	Spatial planning	en
dc.subject.other	GIS	en
dc.subject.other	land use	en
dc.subject.other	landslide	en
dc.subject.other	mapping method	en
dc.subject.other	spatial planning	en
dc.subject.other	statistical analysis	en
dc.subject.other	urban planning	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.subject.other	Thessaly	en
dc.subject.other	Trikala	en
dc.title	GIS-based landslide susceptibility mapping models applied to natural and urban planning in Trikala, central Greece	en
heal.type	journalArticle	en
heal.identifier.primary	10.3989/egeol.08642.036	en
heal.publicationDate	2009	en
heal.abstract	Landslide susceptibility mapping is a practical tool in natural and urban planning; it can be applied for determining land use zones, in construction design and planning of a variety of projects. In this study, two different GIS based landslide susceptibility maps were generated in the mountainous part of the Trikala Prefecture in Thessaly, Central Greece. This was accomplished by using different methods for correlating factors, which have an effect on landslide occurrences. The instability factors taken into account were: lithology, tectonic features, slope gradients, road network, drainage network, land use and rainfall. A frequency distribution of the half number of the landslide events of the study area in each class of the instability factors was performed in order to rate the classes. Two models have been used to combine the instability factors and assess the overall landslide susceptibility, namely: the Weight Factor Model (WeF), which is a statistical method, and the Multiple Factor Model (MuF) that is a logical method. The produced maps were classified into four zones: Low, Moderate, High and Very High susceptible zones and validated using the other half number of the landslide events of the area. Evaluation of the results is optimized through a Landslide Models Indicator (La.M.I.).	en
heal.journalName	Estudios Geologicos	en
dc.identifier.issue	1	en
dc.identifier.volume	65	en
dc.identifier.doi	10.3989/egeol.08642.036	en
dc.identifier.spage	49	en
dc.identifier.epage	65	en