Spatial prediction of landslide hazards in Hoa Binh province (Vietnam) : A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models

Auteur(s) et Affiliation(s)

TIEN BUI, D.

Dep. of Mathematical Sciences and Technology, Norwegian Univ. of Life Sciences (UMB), Ås, Norvege

Fac. of Surveying and Mapping, Univ. of Mining and Geology, Hanoi, Viet Nam

PRADHAN, B.

Fac. of Engineering, Spatial and Numerical Modelling Research Group, Univ., Putra, Malaisie

LOFMAN, O.

Dep. of Mathematical Sciences and Technology, Norwegian Univ. of Life Sciences (UMB), Ås, Norvege

REVHAUG, I.

Dep. of Mathematical Sciences and Technology, Norwegian Univ. of Life Sciences (UMB), Ås, Norvege

DICK, O.B.

Dep. of Mathematical Sciences and Technology, Norwegian Univ. of Life Sciences (UMB), Ås, Norvege

Description :
First, a landslide inventory map showing the locations of 118 landslides that have occurred during the last 10 years was constructed using data from various sources. Then, the landslide inventory was randomly partitioned into training and validation datasets. Secondly, 9 landslide conditioning factors were selected (i.e., slope, aspect, relief amplitude, lithology, land use, soil type, distance to roads, distance to rivers and distance to faults). Using these factors, landslide susceptibility index values were calculated using evidential belief functions and fuzzy logic models. Finally, landslide susceptibility maps were validated and compared. The prediction-rate curves and area under the curves were calculated to assess prediction capability. The results show that all the models have good prediction capabilities, but the model derived using evidential belief functions has the highest prediction capability.

Type de document :
Article de périodique

Source :
Catena (Giessen), issn : 0341-8162, 2012, vol. 96, p. 28-40, nombre de pages : 13, Références bibliographiques : 91 ref.

Date :
2012

Editeur :
Pays édition : Allemagne, Cremlingen-Destedt, Catena

Langue :
Anglais