权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Prediction of potential landslide sites on Shirasu steep slopes applying the landslide periodicity

利用滑坡周期预测 Shirasu 陡坡上潜在的滑坡地点

基本信息

批准号：
06556025
负责人：
SHIMOKAWA Etsuro
金额：
$ 5.63万
依托单位：
Kagoshima University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-06556025/
关键词：
Shirasu area Landslide disaster Hazard map Non-structural measures Landslide periodicity Image analysis Satellite data Vegetation 衛星データ

项目摘要

The purpose of this study is to prepare a practical map for predicting high potential shallow landslide sites on Shirasu (pyroclastic flow deposits from Aira volcano) steep slopes based on the landslide scar chronology and topsoil depth on the slopes and the landslide periodicity in the southern part of Kyushu, Japan. The results are as follows :1. A large scale topographic map of the study area was made based on skeleton and detail topographical surveying using the global positioning system (GPS) and electro-optical survey instrument, respectively. Each map of the shallow landslide scars, topsoil depth and vegetation was superimposed on the topographic map.2. The forest vegetation on younger landslide scar of less than 60 years in age with thinner topsoil and older landslide scar of more than 60 years in age with thicker topsoil differ from each other in tree species composition and plant succession. This suggests that the high potential shallow landslide sites can be indirectly predicted through distinction of the vegetation grown on the slopes.3. It is possible to distinguish between the forest vegetation on the younger landslide scar and the one on the older scar based on the image analysis using large-scale aerial photographs.4. The Shirasu slopes in the study area were divided into six parts based on the slope morphology. Of these parts, a part consisting of steepest slopes of over 40 degrees in gradient with a form of concave or straight was selected as the high potential shallow landslide site. This part with steep slopes are widely distributed on the slopes along ravines and river channels. A most parts of the younger and older shallow landslide have been scarred on the high potential shallow landslide sites predicted based on the division of slope morphology.

本研究的目的是准备一个实用的地图，预测高潜力的浅的滑坡网站上白须（火山碎屑流沉积物从爱良火山）陡坡的滑坡疤痕年表和表土深度的斜坡和滑坡周期在日本九州南部的基础上。研究结果如下：1.利用全球定位系统（GPS）和光电测量仪，分别进行了研究区的基本地形测量和详细地形测量，制作了研究区的大比例尺地形图。每幅滑坡浅痕图、表土深度图和植被图都叠加在地形图上.年龄小于60年、表土较薄的年轻滑坡遗迹和年龄大于60年、表土较厚的老滑坡遗迹上的森林植被在树种组成和植物演替上存在差异。这表明，可以通过对坡面植被的识别，间接预测浅层滑坡的高危险性部位.通过大比例尺航空摄影图像分析，可以区分出较老的和较年轻的滑坡遗迹上的森林植被.根据坡面形态特征，将研究区的白须斜坡分为6个部分。在这些部分中，由坡度超过40度的最陡斜坡组成的凹或直形式的部分被选为高潜在性浅层滑坡场地。这部分陡坡广泛分布在沿着沟壑、河道的斜坡上。在坡体形态划分的基础上预测出的浅层滑坡高潜点上，大部分新老浅层滑坡体已形成疤痕。