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Sassa K.,Kyoto University | Canuti P.,International Consortium on Landslides | Margottini C.,European Commission - Joint Research Center Ispra | Yin Y.,China Institute of Geo Environment Monitoring
Landslides | Year: 2012

The Second World Landslide Forum was held at the headquarters of Food and Agriculture Organization of the United Nations on 3-9 October 2011 in Rome, Italy. The Third World Landslide Forum (WLF3) is to be held at the China National Convention Center in Beijing, China from 2 to 6 June 2014. This article first outlines the aims and background of the World Landslide Forums, reports on the Second World Landslide Forum in Rome, and then announces the plans for the Third World Landslide Forum in Beijing. Finally, it calls for contributions for the organization of WLF3 and participation in the International Consortium on Landslides (ICL) and the International Programme on Landslides. © 2012 Springer-Verlag. Source

Liao Z.,University of Oklahoma | Hong Y.,University of Oklahoma | Hong Y.,Center for Natural Hazard and Disaster Research | Wang J.,University of Oklahoma | And 5 more authors.
Landslides | Year: 2010

An early warning system has been developed to predict rainfall-induced shallow landslides over Java Island, Indonesia. The prototyped early warning system integrates three major components: (1) a susceptibility mapping and hotspot identification component based on a land surface geospatial database (topographical information, maps of soil properties, and local landslide inventory, etc.); (2) a satellite-based precipitation monitoring system (http://trmm. gsfc.nasa.gov) and a precipitation forecasting model (i. e., Weather Research Forecast); and (3) a physically based, rainfall-induced landslide prediction model SLIDE. The system utilizes the modified physical model to calculate a factor of safety that accounts for the contribution of rainfall infiltration and partial saturation to the shear strength of the soil in topographically complex terrains. In use, the land-surface "where" information will be integrated with the "when" rainfall triggers by the landslide prediction model to predict potential slope failures as a function of time and location. In this system, geomorphologic data are primarily based on 30-m Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, digital elevation model (DEM), and 1-km soil maps. Precipitation forcing comes from both satellite-based, real-time National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM), and Weather Research Forecasting (WRF) model forecasts. The system's prediction performance has been evaluated using a local landslide inventory, and results show that the system successfully predicted landslides in correspondence to the time of occurrence of the real landslide events. Integration of spatially distributed remote sensing precipitation products and in-situ datasets in this prototype system enables us to further develop a regional, early warning tool in the future for predicting rainfall-induced landslides in Indonesia. © 2010 Springer-Verlag. Source

Apip,Kyoto University | Takara K.,Kyoto University | Yamashiki Y.,Kyoto University | Sassa K.,International Consortium on Landslides | And 2 more authors.
Landslides | Year: 2010

This paper describes the potential applicability of a hydrological-geotechnical modeling system using satellite-based rainfall estimates for a shallow landslide prediction system. The physically based distributed model has been developed by integrating a grid-based distributed kinematic wave rainfall-runoff model with an infinite slope stability approach. The model was forced by the satellite-based near real-time half-hourly CMORPH global rainfall product prepared by NOAA-CPC. The method combines the following two model outputs necessary for identifying where and when shallow landslides may potentially occur in the catchment: (1) the time-invariant spatial distribution of areas susceptible to slope instability map, for which the river catchment is divided into stability classes according to the critical relative soil saturation; this output is designed to portray the effect of quasi-static land surface variables and soil strength properties on slope instability and (2) a produced map linked with spatiotemporally varying hydrologic properties to provide a time-varying estimate of susceptibility to slope movement in response to rainfall. The proposed hydrological model predicts the dynamic of soil saturation in each grid element. The stored water in each grid element is then used for updating the relative soil saturation and analyzing the slope stability. A grid of slope is defined to be unstable when the relative soil saturation becomes higher than the critical level and is the basis for issuing a shallow landslide warning. The method was applied to past landslides in the upper Citarum River catchment (2,310 km2), Indonesia; the resulting time-invariant landslide susceptibility map shows good agreement with the spatial patterns of documented historical landslides (1985-2008). Application of the model to two recent shallow landslides shows that the model can successfully predict the effect of rainfall movement and intensity on the spatiotemporal dynamic of hydrological variables that trigger shallow landslides. Several hours before the landslides, the model predicted unstable conditions in some grids over and near the grids at which the actual shallow landslides occurred. Overall, the results demonstrate the potential applicability of the modeling system for shallow landslide disaster predictions and warnings. © 2010 Springer-Verlag. Source

Mihalic S.,University of Zagreb | Marui H.,Niigata University | Nagai O.,International Consortium on Landslides | Yagi H.,Yamagata University | Miyagi T.,Tohoku Gakuin University
Landslide Science and Practice: Landslide Inventory and Susceptibility and Hazard Zoning | Year: 2013

Preliminary results of landslide mapping in the City of Zagreb (Croatia), obtained in the frame of the Japanese-Croatian scientific project, are presented in this paper. The aim of this research is to develop a method for landslide delineation in order to enable land use officials to implement this data to create more useful measures for landslide risk management. Selected landslides in the hilly zone of Mt. Medvednica were identified visually using LiDAR bare-earth DEMs. The results of data analysis will be implemented to perform a more comprehensive study of landslides in the entire pilot area (total area is 180 km2). © Springer-Verlag Berlin Heidelberg 2013. Source

Sassa K.,International Consortium on Landslides | Tsuchiya S.,University of Shizuoka | Fukuoka H.,Niigata University | Mikos M.,University of Ljubljana | Doan L.,Kyoto University
Landslides | Year: 2015

The international journal Landslides: Journal of International Consortium on Landslides was established in April 2004. The aims of Landslides are to promote landslide science, technology, and capacity building, and to strengthen global cooperation for landslide risk reduction within the United Nations International Strategy for Disaster Risk Reduction (ISDR). The achievements of the first 5 years from the beginning of 2004 (Vol. 1, No. 1) to the mid-2009 (Vol. 6, No. 2) were reviewed in 2009 (Landslides 6:275–286, 2009). This article presents the review for the second 5-year period from mid-2009 (Vol. 6, No. 3) to the end of 2013 (Vol. 10, No. 6), focusing on the journal’s significance and its impact. We include an analysis of the classifications of articles in Landslides. © 2015, Springer-Verlag Berlin Heidelberg. Source

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