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Hiroshi Fukuoka

Researcher at Niigata University

Publications -  117
Citations -  2702

Hiroshi Fukuoka is an academic researcher from Niigata University. The author has contributed to research in topics: Landslide & Shear (geology). The author has an hindex of 26, co-authored 114 publications receiving 2344 citations. Previous affiliations of Hiroshi Fukuoka include Kyoto University.

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Undrained dynamic-loading ring-shear apparatus and its application to landslide dynamics

TL;DR: A series of different types of ring-shear apparatus (DPRI-3, 4, 5, 6, 7) have been developed from 1992 to the present to simulate the formation of the shear zone and the following long and rapid shear displacement that occurs in high-velocity landslides.
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Earthquake-induced-landslides : Distribution, motion and mechanisms

TL;DR: In this paper, the authors reviewed the 1995 Hyogoken-Nambu earthquake based on air photo interpretation for their distribution and found that most landslides showed limited motion probably affected by less saturated soil condition due to the very dry season.
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Performing undrained shear tests on saturated sands in a new intelligent type of ring shear apparatus

TL;DR: In this article, the design and construction of an undrained ring shear apparatus, which was newly developed at Disaster Prevention Research Institute, Kyoto University, are presented in detail This apparatus is suited for undrained shear tests under all types of loading, and enables observing the undrain shear behavior of soils in high-speed motion (maximum rotating speed 224 m/s) to an endless displacement level using rubber edges and a gap control system, and the friction of rubber edges was controlled with high credibility during shearing.
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The influence of intense rainfall on the activity of large-scale crystalline schist landslides in Shikoku Island, Japan

TL;DR: In this article, the influence of intense rainfall on the activity of crystalline schist landslides by examining rainfall and displacement of four typical landslides was investigated, and two rainfall thresholds were identified for the landslide risk management of Shikoku Island.
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Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets

TL;DR: In this paper, an early warning system has been developed to predict rainfall-induced shallow landslides over Java Island, Indonesia, which 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-