Author
Fuchu Dai
Other affiliations: Chinese Academy of Sciences
Bio: Fuchu Dai is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Landslide & Loess. The author has an hindex of 35, co-authored 65 publications receiving 6728 citations. Previous affiliations of Fuchu Dai include Chinese Academy of Sciences.
Papers published on a yearly basis
Papers
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TL;DR: A framework for landslide risk assessment and management by which landslide risk can be reduced is proposed, and a critical review of the current state of research on assessing the probability of landsliding, runout behavior, and vulnerability is reviewed.
1,135 citations
TL;DR: In this article, the authors used a Geographical Information Systems (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical relations of landslide frequency with the physical parameters contributing to the initiation of landslide on Lantau Island in Hong Kong.
989 citations
TL;DR: A stepwise logistic regression model was obtained between landslide susceptibility and the above mentioned physical parameters as mentioned in this paper, and the study area has been classified into five classes of relative landslide susceptibility, namely, very low, low, moderate, high, and very high.
Abstract: Steep terrain and the high frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. For example, more than 800 slope failures were triggered by a rainstorm in November 1993 on Lantau Island, Hong Kong. Maps of recent landslides interpreted from aerial photographs, in combination with a geographical information system, were used to evaluate the frequency and distribution of landslides, with particular reference to such physical parameters as lithology, slope gradient, slope aspect, elevation, vegetation cover, and proximity to drainage line, all of which are considered to be influential in the occurrence of landslides. A stepwise logistic regression model was obtained between landslide susceptibility and the above mentioned physical parameters. The study area has been classified into five classes of relative landslide susceptibility, namely, very low, low, moderate, high, and very high, based on this methodology.
559 citations
TL;DR: Wang et al. as discussed by the authors investigated correlations between the occurrence of landslides with geologic and geomorphologic conditions, and seismic parameters, and found that both LAD and LPD have strong positive correlations with slope steepness, distance from the major surface rupture and seismic intensity.
539 citations
TL;DR: An overview of the SVM, both one-class and two-class SVM methods, is first presented followed by its use in landslide susceptibility mapping, where it is concluded that two- class SVM possesses better prediction efficiency than logistic regression and one- Class SVM.
450 citations
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TL;DR: The modified Varnes classification of landslides has 32 landslide types, each of which is backed by a formal definition as mentioned in this paper, and complex landslides are not included as a separate category type, but composite types can be constructed by the user of the classification by combining two or more type names.
Abstract: The goal of this article is to revise several aspects of the well-known classification of landslides, developed by Varnes (1978). The primary recommendation is to modify the definition of landslide-forming materials, to provide compatibility with accepted geotechnical and geological terminology of rocks and soils. Other, less important modifications of the classification system are suggested, resulting from recent developments of the landslide science. The modified Varnes classification of landslides has 32 landslide types, each of which is backed by a formal definition. The definitions should facilitate backward compatibility of the system as well as possible translation to other languages. Complex landslides are not included as a separate category type, but composite types can be constructed by the user of the classification by combining two or more type names, if advantageous.
1,973 citations
TL;DR: In this paper, a landslide susceptibility map in the Kakuda-Yahiko Mountains of Central Japan is presented, where the authors use logistic regression to find the best fitting function to describe the relationship between the presence or absence of landslides (dependent variable) and a set of independent parameters such as slope angle and lithology.
1,449 citations
TL;DR: In this article, the authors outline the principles for landslide mapping, and review the conventional methods for the preparation of landslide maps, including geomorphological, event, seasonal, and multi-temporal inventories.
1,290 citations
TL;DR: A framework for landslide risk assessment and management by which landslide risk can be reduced is proposed, and a critical review of the current state of research on assessing the probability of landsliding, runout behavior, and vulnerability is reviewed.
1,135 citations
TL;DR: In this article, the authors examined three well-documented landslide events, from Italy, Guatemala and the USA, each with a different triggering mechanism, and found that the landslide areas for all three are well approximated by the same three-parameter inverse-gamma distribution.
Abstract: Landslides are generally associated with a trigger, such as an earthquake, a rapid snowmelt or a large storm. The landslide event can include a single landslide or many thousands. The frequency–area (or volume) distribution of a landslide event quantifies the number of landslides that occur at different sizes. We examine three well-documented landslide events, from Italy, Guatemala and the USA, each with a different triggering mechanism, and find that the landslide areas for all three are well approximated by the same three-parameter inverse-gamma distribution. For small landslide areas this distribution has an exponential ‘roll-over’ and for medium and large landslide areas decays as a power-law with exponent −2·40. One implication of this landslide distribution is that the mean area of landslides in the distribution is independent of the size of the event. We also introduce a landslide-event magnitude scale mL = log(NLT), with NLT the total number of landslides associated with a trigger. If a landslide-event inventory is incomplete (i.e. smaller landslides are not included), the partial inventory can be compared with our landslide probability distribution, and the corresponding landslide-event magnitude inferred. This technique can be applied to inventories of historical landslides, inferring the total number of landslides that occurred over geologic time, and how many of these have been erased by erosion, vegetation, and human activity. We have also considered three rockfall-dominated inventories, and find that the frequency–size distributions differ substantially from those associated with other landslide types. We suggest that our proposed frequency–size distribution for landslides (excluding rockfalls) will be useful in quantifying the severity of landslide events and the contribution of landslides to erosion. Copyright © 2004 John Wiley & Sons, Ltd.
1,070 citations