نتایج جستجو برای: landslides

تعداد نتایج: 4980  

2008
M. Acar

Landslides are serious geologic disasters that threat human life and property in every country. In addition, landslides are one of the most important natural phenomena, which directly or indirectly affect countries’ economy. Turkey is also the country that is under the threat of landslides. Landslides frequently occur in all of the Black Sea region as well as in many parts of Marmara, East Anat...

2016
Fausto Guzzetti

Landslides are one of several natural hazards. As other natural hazards, landslides are difficult to predict, and their forecasts are uncertain. The uncertainty depends on the poor understanding of the phenomena that control the slope failures, and on the inherent complexity and chaotic nature of the landslides. This is similar to other natural hazards, including hurricanes, earthquakes, volcan...

2015
S. R. Kokane

Landslides are characteristic phenomena for the element offset of the world's surface. Substantial precipitation and tremors are the two main considerations for landslides. The appropriation of region size is the most essential quantitative parameter of landslides. Along these lines, the motivation behind this study is to describe the scale and spatial contrast of precipitation actuated as cont...

2007
A. Lucas A. Mangeney

[1] Recent experiments on dry granular flows over horizontal plane bare some similarities with large Martian landslides observed in Valles Marineris (VM). However, Martian normalized runout are twice as large as those that observed in dry granular flow experiments. Numerical simulations on theoretical 2D and real 3D topographies reconstructed from remote sensing data show that slope effects sig...

2015
Yasemin Leventeli

Abstract. Numerous huge landslides and a lot of springs are located in Ecemiş Fault Zone between Adana and Niğde, in the south of Turkey. The waterdiscontinuity-clay trinity plays a significant role in the formation of these landslides and morphology of the area. A large-scale dam and a highway were planned in this valley where is highly rich in terms of flora and fauna and composed by huge slo...

2012
L. D. C. S. Subhashini

Landslides are the most recurrent and prominent disaster in Sri Lanka. Sri Lanka has been subjected to a number of extreme landslide disasters that resulted in a significant loss of life, material damage, and distress. It is required to explore a solution towards preparedness and mitigation to reduce recurrent losses associated with landslides. Artificial Neural Networks (ANNs) are now widely u...

2006
Jianye Ching Hung-Jiun Liao

This paper gives a brief introduction on the background and current status of landslides along mountain roads in Taiwan and presents a detailed analysis based on the Gaussian Process model for predicting locations and occurrence times of future landslides using historical data. Based on inherent and man-made features of failed and not-failed slopes, locations of possible future landslides are p...

2013
Ascanio Rosi Pietro Vannocci Veronica Tofani Giovanni Gigli Nicola Casagli

Ricasoli is a village located in a morphological high in the Upper Arno river Valley (Tuscany), an area historically subject to widespread slope instability phenomena. This morphological high and the surrounding slopes result to be affected by numerous landslides, which cause the retreat of the escarpments surrounding the village, involving infrastructures and buildings. To better understand th...

2012
L. BENDA

Landslides may lead to sedimentation of streams and rivers in tropical environments over time periods of decades. Hence, it is important to account for the stochastic occurrence of landslides when predicting sediment yields, particularly in areas undergoing deforestation. A hillslope-stability simulation model is developed based on applying an infinite slope stability analysis and the groundwat...

2016
Daniel Hölbling Harley Betts Raphael Spiekermann Chris Phillips

Accurate mapping of landslides and the reliable identification of areas most affected by landslides are essential for advancing the understanding of landslide erosion processes. Remote sensing data provides a valuable source of information on the spatial distribution and location of landslides. In this paper we present an approach for identifying landslide-prone “hotspots” and their spatio-temp...

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