盖孜河谷溜石坡调查和易发性分布数据集

Data of stone-slide investigation and susceptibility distribution in Gaizi Valley

中巴公路从帕米尔高原东北缘穿过了公格尔–慕士塔格–昆盖山的冰缘地带,崩塌及其次生灾害溜石坡在盖孜河谷的公路两侧广泛发育,在强大外力作用下的迅速前进容易彻底堵塞交通。已有对中巴公路(国内段)的溜石坡灾害的调查研究,但是少见评价模拟,也未形成溜石坡的分布数据。本研究引入了数据挖掘的原理和技术来对孕灾环境因素进行整合、编码和转换,构建了用于溜石坡易发性建模的特征矩阵,经过模型模拟得到了盖孜河谷的公路两侧2公里范围内的溜石坡空间分布数据,溜石坡空间分布的预测精度达到80%。本数据集包含溜石坡野外调查点矢量数据和溜石坡易发性空间分布栅格数据。其中调查点矢量数据记录了调查点GPS经纬度信息,是珍贵的地面真值数据;而精度可靠的溜石坡空间分布数据同样具有重要的研究意义和工程应用价值。

The Karakoram Highway passes through the preglacial area of Kongur Mountain along the northeastern edge of the Pamirs Plateau.On both sides of the highway along the Gaizi Valley,collapse and secondary disaster stone-slide frequented,sands and stones are thrust by powerful external forces to clog traffic.While stone-slide investigations have been made on the Karakoram Highway(domestic section),evaluation or simulation is rare,and no stone-slide distribution data are formed.In this study,principles and technologies of data mining are introduced to integrate,code and convert environmental factors of disaster,through which a feature matrix is constructed for the easy onset modeling of stone-slide.The spatial distribution of the stone-slide in a 2 km range of both sides along Gaiz Valley is conducted,with a total data accuracy of up to 80%.This dataset consists of vector data of investigation points and grid data of stone-slide spatial distribution.The investigation data records GPS longitudes and latitudes of the investigation point,which is a valuable ground data,while the stone-slide spatial distribution data also have important significance for research and engineering application.