NDLI: Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong

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Bulletin of the International Association of Engineering Geology - Bulletin de l'Association Internationale de Géologie de l'Ingénieur : Volume 63, Issue 4, December 2004

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Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong

Content Provider	Springer Nature Link
Author	Dai, F. C. Lee, C. F. Tham, L. G. Ng, K. C. Shum, W. L.
Copyright Year	2004
Abstract	This study is aimed at developing a method for modelling the probability of landsliding using a geographical information system (GIS), rainstorm events and associated landslide distributions, with an attempt to assess where landslides are likely to occur when certain rainstorm events happen. This research focuses on the natural terrain of Lantau Island, Hong Kong. In order to derive a logistic regression model for statistical prediction of the probability of landsliding, topographic attributes derived from digital elevation model (DEM) data are combined with a variety of other digital datasets including 24 h rainfall, lithology and vegetation cover in a GIS. The model was then applied to given rainstorm events and rainfalls of a variety of periods of return time in order to predict the probability of landsliding on natural slopes in space and time. The modelling techniques described here can be used to develop effective mitigation strategies.Cette étude a pour but le développement d’une méthode de modélisation de la probabilité de déclenchement de glissements de terrain, en utilisant un système d’information géographique (SIG), les répartitions des pluies torrentielles et les glissements associés. Elle comporte une tentative de prédiction de la localisation du déclenchement des glissements en fonction d’événements de pluies torrentielles. Cette recherche concerne l’île de Lantau, à Hong Kong. Les attributs topographiques issus des données d’un modèle numérique de terrain (MNT) sont associés à d’autres séries de données, dont la pluie journalière, la lithologie et la végétation, dans un système d’information géographique, afin de réaliser un modèle de régression statistique pour la prédiction du déclenchement des glissements de terrain. Ce modèle a été alors appliqué à des pluies torrentielles et des pluies de différentes périodes de retour, pour prévoir la probabilité de déclenchement de glissements de terrain sur des pentes naturelles dans l’espace et le temps. Les techniques de modélisation décrites peuvent être utilisées pour développer des stratégies concrètes de prévention.
Starting Page	315
Ending Page	327
Page Count	13
File Format	PDF
ISSN	14359529
Journal	Bulletin of the International Association of Engineering Geology - Bulletin de l'Association Internationale de Géologie de l'Ingénieur
Volume Number	63
Issue Number	4
e-ISSN	14359537
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-09-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Glissements de terrain Pluviométrie Probabilité Régression Système d’Information Géographique (GIS)
Content Type	Text
Resource Type	Article
Subject	Geology Geotechnical Engineering and Engineering Geology

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Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong

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Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong