Validation of landslide susceptibility maps (Case study: Urban area of the municipality of Banja Luka - B&H)
Landslides represent a serious geo-hazard in many areas of the world. They are one of the most damaging and most significant geo-hazards in Bosnia and Herzegovina. In the previous research, three GIS-based methodologies (Index based method, Statistical index method, and Landslide susceptibility anal...
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Veröffentlicht in: | Glasnik Srpskog geografskog društva (1948) 2017, Vol.97 (1), p.19-34 |
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Sprache: | eng |
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Zusammenfassung: | Landslides represent a serious geo-hazard in many areas of the world. They
are one of the most damaging and most significant geo-hazards in Bosnia and
Herzegovina. In the previous research, three GIS-based methodologies (Index
based method, Statistical index method, and Landslide susceptibility
analysis), have been used to assess the landslide susceptibility in urban
area of the Municipality of Banja Luka. Validation technique is performed by
comparing existing landslide data from 2012 with obtained landslide
susceptibility maps. In this research, the landslide susceptibility maps were
supplemented by landslide susceptibility map which is prepared using a GIS
Matrix method. The area and percentage distribution of the susceptibility
classes in the study area were determined as a result of the four different
techniques. The Statistical index method has provided the most satisfying
results. As a consequence of heavy rains during the period from May to August
2014, 126 landslides occurred in the study area, and they offer a good
opportunity to validate obtained landslide susceptibility maps of the study
area with landslides that occurred in different periods of time. Validation
was performed by using a ?degree of fit? method. The values of the degree of
fit in high and very high category in all used methods are over 80%, except
for GIS matrix method, where the percentage is 60%. The validation of
obtained landslide susceptibility maps suggests that the applications of all
the used techniques provide a good basis for creation landslide
susceptibility maps, but the best results are given by using a Statistical
index method.
nema |
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ISSN: | 0350-3593 2406-078X |
DOI: | 10.2298/GSGD1701019L |