首页> 外文会议>Asian conference on remote sensing;ACRS 2007 >SPATIAL MODELING OF RAIN-TRIGGERED LANDLSIDES A CASE STUDY IN SOUTHERN LEYTE PROVINCE, PHILIPPINES
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SPATIAL MODELING OF RAIN-TRIGGERED LANDLSIDES A CASE STUDY IN SOUTHERN LEYTE PROVINCE, PHILIPPINES

机译:降雨触发的土地退化的空间模拟-以菲律宾南部列特省为例

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Almost all preparatory and triggering causal factors are well set in place in the case of Philippines torn ake its sloping te rrains vu lnerable to landsli des; the history of landslide occurrences stands as foolproof evidence. A review of the past even ts however indicates that rainfall has, inter alia, been offering the triggering effect to cause most of the devastating landslides. A number of such landslides have occurred in the Southern Leyte province of Philippines causing considerable loss of life and damage to properties.Facilitating towards managing the associated landslid erisk in South ern Leyte it was aim ed at delineating the areas that are pro ne to rain -triggered Ian dslides. The SINMAP modd which combines a mechanistic slope stability model with a steady-state hydrology model was employed in way accomplishing this, much needed, task. Elevation data in the form of a raster GIS layer was the main input for the model. Mapping of past lands lide initiation points was al so completed with the aid of satellite based remotely sensed data and a GPS survey.The SINMAP m odel, with a careful attribution of the requi site geotechnical and hydraulic parameters, delineated 47% of th e study area w hich is about 850 km~2 to be unstable and quasi-stable under extrem e rainfall events recorded in the past. T his zonation of landslide hazard was considered to be very satisfactor y as 82% of the total recorded la ndslides were found to fall in the unstable regions.
机译:如果菲律宾撕毁了容易受到土地污染的倾斜地形,几乎所有的准备和触发因果因素都已到位;滑坡发生的历史可以作为万无一失的证据。然而,回顾过去甚至可以发现,降雨除其他外一直在引起大多数破坏性滑坡的触发作用。菲律宾南部的莱特省发生了许多此类滑坡,造成大量生命损失和财产损失。 为了管理莱特南部的相关滑坡风险,其目的是勾勒易受降雨触发的伊恩滑坡的地区。通过将机械边坡稳定性模型与稳态水文模型相结合的SINMAP模型来完成这项非常需要的任务。栅格GIS层形式的高程数据是模型的主要输入。借助基于卫星的遥感数据和GPS测量,还完成了过去滑坡起始点的测绘。 SINMAP模型在仔细考虑了所需的岩土和水力参数后,在过去记录的极端降雨事件下,研究区域的47%约为850 km〜2,处于不稳定和准稳定状态。 。滑坡灾害的分区被认为非常令人满意,因为发现记录的滑坡总数的82%落在不稳定地区。

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