scholarly journals Development of the heavy rainfall induced slope failure hazard maps for the villages located in the mountainous area close to Median Tectonic Line

2016 ◽  
Vol 2 (72) ◽  
pp. 2473-2477
Author(s):  
Makoto Kawamura ◽  
Yuji Tsujiko ◽  
Kazuhiko Tsujino
2002 ◽  
Vol 111 (5) ◽  
pp. 661-683 ◽  
Author(s):  
Michio MORINO ◽  
Atsumasa OKADA ◽  
Takashi NAKATA ◽  
Koji MATSUNAMI ◽  
Masayoshi KUSAKA ◽  
...  

2021 ◽  
pp. 1199-1202
Author(s):  
R. Yatabe ◽  
N. Yagi ◽  
K. Yokota ◽  
N.P. Bhandary

2016 ◽  
Vol 16 (6) ◽  
pp. 1309-1321 ◽  
Author(s):  
Ching-Jiang Jeng ◽  
Dar-Zen Sue

Abstract. The Huafan University campus is located in the Ta-lun Shan area in northern Taiwan, which is characterized by a dip slope covered by colluvium soil of various depths. For slope disaster prevention, a monitoring system was constructed that consisted of inclinometers, tiltmeters, crack gages, groundwater level observation wells, settlement and displacement observation marks, rebar strain gages, concrete strain gages, and rain gages. The monitoring data derived from hundreds of settlement and displacement observation marks were analyzed and compared with the displacement recorded by inclinometers. The analysis results revealed that the maximum settlement and displacement were concentrated on the areas around the Hui-Tsui, Zhi-An, and Wu-Ming buildings and coincided with periods of heavy rainfall. The computer program STABL was applied for slope stability analysis and modeling of slope failure. For prevention of slope instability, a drainage system and tieback anchors with additional stability measures were proposed to discharge excess groundwater following rainfall. Finally, threshold value curves of rainfall based on slope displacement were proposed. The curves can be applied for predicting slope stability when typhoons are expected to bring heavy rainfall and should be significant in slope disaster prevention.


Author(s):  
Thomas A. Czertowicz ◽  
Toru Takeshita ◽  
Shun Arai ◽  
Takafumi Yamamoto ◽  
Jun-Ichi Ando ◽  
...  

2017 ◽  
Vol 5 (2) ◽  
pp. 116
Author(s):  
Alamgeer Hussain ◽  
Mobushir Riaz Khan ◽  
Naeem Abbas Malik ◽  
Muhammad Amin ◽  
Mazhar Hussain Shah ◽  
...  

The Landslide occurs in mountainous area due to failure of slope through intensive rain and earthquake. Region wise Himalayan is one of prone area of world in context of slope failure hazard; i.e. Landslide, especially Balakot valley is well known for damage of public infrastructure, roads and badly affected the tourism sector. The objective of this study is to develop landslide hazard map and database inventory of balakot tehsil and identify the Tourist resorts landslide hazard condition and hazard prone road site and developed guidelines for tourist about hazardous site and their intensity of landside, which could be useful for tourism sector and sustainable development in balakot valley. In this study we used weighted overlay analysis in arc GIS environment on primary and secondary data raster layers, like slope map, Slope Aspect map, precipitation and seismic raster maps were used to develop landslide hazard zonation map of balakot tehsil. Slope and Aspect map were developed using 30 meter aster digital elevation model. Precipitation map were developed through Inverse Distance weighted (IDW) interpolation method on annual precipitation data acquired from Pakistan meteorological department. Seismic map were acquired from Geological Survey of Pakistan (GSP). Landslide zonation map has three hazards class high, Medium and low. The landslide exposure of high hazard class 499 sq.km while, Medium class 1016 sq.km and low hazard class having 749 sq. km exposure in balakot tehsil respectively. Landslide hazard zonation mapping using GIS and RS is the best way to assess the risk of landslide hazard in mountainous areas. The study recommended that ground penetrating radar (GPR) and soil testing based research well help to understand in-depth of landslide hazard condition in balakot valley.


2006 ◽  
Vol 46 (1) ◽  
pp. 83-98 ◽  
Author(s):  
Hirofumi Toyota ◽  
Kouichi Nakamura ◽  
Naoki Sakai

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