中尼交通廊道1:25万地质灾害危险性评估系列图件（2023-2024）

本数据含中尼交通廊道崩塌滑坡危险性评估图（全域）和中尼交通廊道崩塌滑坡危险性评估图（公路沿线），比例尺为1:25万。全域采用因子叠加的方法计算评估；公路沿线则基于中尼廊道崩塌滑坡分布数据及孕灾背景数据，采用人工神经网络方法，进行建模，获得崩塌滑坡的高易发地貌单元；进而利用Flow-R模型对不稳定单元运动轨迹进行计算，获得中尼廊道崩塌滑坡的危险区。主图中分别选取A和B两个典型区进行展示。危险性评估数据以tiff文件的形式存储，结构类型栅格数据。Hazard.tif：公路沿线崩塌滑坡危险性；lshazard：全域崩塌滑坡危险性；city.shp：城市；county.shp：县城；boundary.shp：研究区边界；river.shp：河流；road.shp：所有等级公路；Groad.shp：国道。This dataset contains two collapse and landslide hazard assessment maps for the China-Nepal transportation corridor: one covering the full domain and the other along the highway, both with a scale of 1:250,000. For the full-domain assessment, the factor superposition method was utilized for calculation. For the highway-aligned part, based on the distribution data of collapse and landslide along the China-Nepal corridor and disaster-inducing background data, an artificial neural network (ANN) was adopted to build the model and identify geomorphic units with high susceptibility to collapse and landslide. Subsequently, the Flow-R model was applied to calculate the movement trajectories of unstable units, thereby obtaining the hazard zones of collapse and landslide along the China-Nepal transportation corridor. Two typical areas, A and B, were selected from the main map for demonstration. All hazard assessment data are stored in TIFF format as raster data. The specific files are described as follows: `Hazard.tif`: Hazard level of collapse and landslide along the highway; `lshazard`: Hazard level of collapse and landslide for the full domain; `city.shp`: Shapefile of urban areas; `county.shp`: Shapefile of county seats; `boundary.shp`: Shapefile of the study area boundary; `river.shp`: Shapefile of rivers; `road.shp`: Shapefile of highways of all grades; `Groad.shp`: Shapefile of national highways.

搜集汇总

背景与挑战

背景概述

该数据集是中尼交通廊道1:25万地质灾害危险性评估系列图件，覆盖2023-2024年，包含全域和公路沿线崩塌滑坡危险性评估，全域采用因子叠加方法，公路沿线结合人工神经网络和Flow-R模型进行建模。数据以栅格格式存储，空间分辨率为10m-100m，用于地质灾害风险分析，适用于地理信息系统软件。