Spatial distribution map of roads, railways and pipelines in China Mongolia Russia economic corridor from 1990 to 2020 1) Spatial data of highway, railway and pipeline in 1990; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2015; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2020; 2) Download the remote sensing images within the China Mongolia Russia economic corridor on NASA website and use arcgis10 2 software manual interpretation and extraction of highway and railway; Map elements are marked with the help of Russian atlas; The pipeline data shall be manually marked with reference to relevant maps; 3) The scale of the atlas is 1:2500000, which clearly reflects the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years,; 4) The data shows in detail the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years, which provides a data basis for the later study of the impact of traffic and pipeline construction on the change of ecological environment.
BU Xiaoyan
Based on the damage rate of each disaster collected in the Qinghai Tibet scientific research, the relative risk level of a single disaster is divided. The comprehensive natural disaster risk grade evaluation method is adopted. Based on the risk evaluation results of single disaster, the comprehensive evaluation is carried out according to the weight obtained by the occurrence frequency of each disaster. The comprehensive risk data of road traffic around the Himalayas includes the vector data of roads around the Himalayas and the comprehensive risk level of each road section, It is divided into five levels: low risk (1), medium and low risk (2), medium risk (3), medium and high risk (4) and high risk (5). It represents the relative size of possible loss or damage to the road traffic system under the comprehensive impact of various natural disasters in the study area. It can provide a reference basis for road risk prevention and emergency management.
YANG Saini
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