Photos and Data of history and typical disaster chains on engineering structures along Sichuan-Tibet railway (2019-2020)

On the basis of literature and satellite image recognition, this data set has carried out a more detailed field scientific investigation on Sichuan Tibet railway, Sichuan Tibet transportation corridor and the upper reaches of Jinsha River, cataloguing and photographing the observed debris flow disaster chain, landslide disaster chain, typical fault structure points, glacial debris flow disaster chain and large-scale collapse disaster chain; Fill in the survey data form of disaster points in the field scientific examination, sort out and fill in the log files of scientific examination, and complete the distribution map of various types of disaster points. The photos are clear, the contents of the disaster questionnaire are detailed, and the scientific examination log is complete. The field survey photos and data have important reference significance for the future field survey of disaster chain and the comparative study of its future development trend.

0 2021-06-04

Scientific exploration image and photograph dataset of Hengduan Mountain (Sichuan-Tibet Railway)(2020)

Hengduan Mountain is located in the western part of Sichuan Basin, the northwestern part of Yunnan-Guizhou Plateau and the eastern part of Qinghai-Tibet Plateau. The Sichuan-Tibet Railway spans 14 large rivers and 21 snow-covered mountains over 4000 meters. The area is affected by many factors, such as complex geological structure, strong plate movement, diverse geomorphology, weathering and fragmentation of rock strata, major engineering disturbance, and climate change. As a result, earthquakes, debris flow, collapse, landslide, glacial lake outburst, mountain torrent, snow disaster and drought and other disasters in this region are highly frequent and frequent, showing obvious space-time extension, with short disaster period, high intensity and wide spread range. This data set is a collection of unmanned aerial vehicle remote sensing images and field photos of our second scientific expedition to the Qinghai-Tibet Plateau in the above areas, which is of great significance to support the strategic needs of disaster prevention and mitigation, engineering safety protection and regional development on the Qinghai-Tibet Plateau.

0 2021-06-04

Distribution data of typical freeze-thaw disasters along Sichuan Tibet Railway (2020)

The data set includes the distribution data of mud flow terraces along the Sichuan Tibet railway and the distribution data of debris and loose particles along the Sichuan Tibet railway. The distribution data of mud flow terraces along the Sichuan Tibet railway is based on the data of Gaofen No.2 in recent years in China. The distribution map of freeze-thaw mud flow Terraces along the Sichuan Tibet railway is produced by deep learning classification method combined with manual visual interpretation and correction. The largest single mudflow terrace is 1030043 m2, which is located in Kangding City, about 12km away from Xinduqiao station of Sichuan Tibet railway. The smallest single mudflow terrace is 1102 m2, which is located in Naidong District, about 3.3km away from Jiacun station of Sichuan Tibet railway. The average area of mudflow terrace along the line is 45013 m2. Mudflow terraces along the line are mainly distributed in Kangding City, Chaya county and SANGRI county. Based on the remote sensing image data of gaofen-2 in the study area, the distribution data of clastic particles along the Sichuan Tibet railway are interpreted. The slope particles are widely developed in Litang Linzhi section of Sichuan Tibet railway. According to the flow characteristics and structural model, they are divided into active type and in-situ weathering type. At present, a total of 2308 slope granular diseases have been identified in the study area, covering an area of 1283.21km2, with an average area of 0.56km2. The minimum area in the figure above is 600m2, which is mainly distributed between 3700m and 5500m above sea level, with an average altitude of 4767.78m. About 95% of the slope particles in the study area have an area less than 2.0 × 104m2, with an average area of 55.5 square meters × 104m2, with the largest area of 9148 × 104m2; The slope granular materials are mainly distributed between the elevation of 4500-5400m, accounting for 87.9% of the total slope granular materials. The slope granular materials with the elevation of 5000-5400m account for 47.7%, with an average elevation of 4945m. The single slope granular material with the lowest elevation has an elevation of 3241m; The slope gradient of granular materials in the study area is mainly between 30-70 ° Among them, accounting for 89.5% of the total number of slope granular. The data set is used to formulate the operation specification of digital processing. In the process of processing, the operators are required to strictly abide by the operation specifications, and the special person is responsible for the quality review. The data integrity, logical consistency, position accuracy, attribute accuracy, edge connection accuracy and current situation are all in line with the requirements of relevant technical regulations and standards formulated by the State Bureau of Surveying and mapping. It provides a basis for the study of the development law of freeze-thaw mudflow and paleoclimate and the geographical distribution characteristics of granular materials on the slope of Sichuan Tibet engineering corridor.

0 2021-06-03

Standard Specification for scientific investigation of geological and geographical environment and disaster risk in Qinghai Tibet Plateau

This data includes two standards: the data resource construction specification and the metadata specification for the scientific investigation of geological and geographical environment and disaster risk in the Qinghai Tibet Plateau. According to the opinions of the general office of the CPC Central Committee and the general office of the State Council on strengthening the development and utilization of information resources, the archives law of the people's Republic of China, the measures for the management of scientific data, and the outline for the construction of the platform for the basic conditions of science and technology, and in combination with the characteristics of the contents and achievements of task 9 scientific investigation, In order to facilitate the collection and sharing of scientific research data, realize simple and efficient management of complex project achievement data, and better protect the intellectual property rights of data resource producers, the metadata content standard framework and resource construction specification of task 9 of the second comprehensive scientific investigation on the Qinghai Tibet Plateau are formulated. In order to better serve the project itself, we should ensure the standardization and standardization of the data of each subject.

0 2021-05-30

Inventory of (glacier) debris flow hazard chain along the Sichuan-Tibet Railway (1953-2019)

The cataloguing data and distribution map of debris flow dammed lake burst flood disaster chain, which can be observed in literature and satellite images, have been sorted out. In the data, debris flow can be divided into two types: General debris flow and glacier debris flow. The data mainly through literature investigation combined with remote sensing identification to determine the location and type of disaster chain, and then sorted into tables and generated vector data. The data were generated from the investigation literature and remote sensing visual interpretation. It is difficult to evaluate the integrity of data because it is impossible to judge the exact time of many disasters. The number of disaster points is field scientific research area code + River Basin name initial code + disaster chain type code + four digit sequence number. See Excel data file for details.

0 2021-05-12

Landslides and debris flows in Bangladesh-China-India-Myanmar Economic Corridor(2010-2020)

There are 428 large and medium-sized landslides in the Bangladesh China India Myanmar economic corridor. The number of landslides in Myanmar is the largest, reaching 304, accounting for 71% of the total landslides, followed by China and India. The number of landslides is 71 and 52, accounting for 17% and 12% of the total landslides, respectively. There is only one landslide in Bangladesh. According to the material composition of landslide, it can be divided into rock landslide and soil landslide. There are 343 rock landslides in this area, accounting for 80% of the total number of landslides, and 85 soil landslides, accounting for 20% of the total number of landslides. Rock landslides are mainly distributed in the north of China, India and Myanmar, while soil landslides are mainly distributed in the middle and south of Myanmar. A total of 1569 debris flows were interpreted in the Bangladesh China India Myanmar corridor, including 574 gully debris flows and 995 slope debris flows. In the eastern part of the study area, debris flows are mainly distributed on both sides of Lancang River, Nujiang River, Mojiang River and Honghe River, and they are distributed in the north-south direction along these rivers. In the central part of the study area, debris flows are distributed in the ruokai mountain area. Compared with the gully type debris flow, the scale and harm of slope debris flow are much smaller. In this study, the correlation analysis of debris flow is mainly aimed at the gully type debris flow.

0 2021-01-04

Landslides and debris flows in China-Mongolia-Russia Economic Corridor(2010-2020)

The China Mongolia Russia economic corridor starts from China in the East, passes through Mongolia in the west to Russia, and crosses the Mongolian Plateau, West Siberian plain and Eastern European Plain. There are great differences in natural environment and complex geological conditions in the region. Driven by regional differences in structure, earthquake, meteorology, hydrology and ecology, landslides are widely distributed in China Mongolia Russia economic corridor. Based on remote sensing images, the landslide and debris flow disasters in China Mongolia Russia economic corridor are interpreted. Statistics show that there are 396 landslide disasters in China Mongolia Russia economic corridor, and the landslide disaster area is between 0.0006km2 ~ 8.57km2. The watershed area within 100km on both sides of the railway line, with a total area of 1.43 × 106km2, has identified 1336 debris flow gullies in the China Mongolia Russia economic corridor.

0 2021-01-04

Danger Assessment Dataset of Storm Surge Disasters at ten meters Scale of hambantota

On the basis of the global tropical cyclone track dataset, the global disaster events and losses dataset, the global tide level observation dataset and DEM data, coastline distribution data, land cover information, population and other related data of Hambantota, indicators related to the disaster danger of storm surge in each unit are extracted and calculated using ten meters grid as evaluation unit. Based on statistical method, the tide level of every 20 years, 50 years and 100 years is estimated. The comprehensive index of storm surge disaster danger is constructed, and the danger index of storm surge is obtained by using the weighted method, which can be used to evaluate the danger level of storm surge in each assessment unit. The data set includes 20-year, 50-year and 100-year hazard assessment results of the port area of Hambantota.

0 2020-12-25

Vulnerability Assessment Dataset of Storm Surge Disasters at ten meters Scale of hambantota (2015-2018)

On the basis of the global tropical cyclone track dataset, the global disaster events and losses dataset, the global tide level observation dataset and DEM data, coastline distribution data, land cover information, population and other related data of the Belt and Road, indicators related to the vulnerability of storm surge in each unit are extracted and calculated using 100 meter grid as evaluation unit, such as population density, land cover type, etc. The comprehensive index of storm surge vulnerability is constructed, and the vulnerability index of storm surge is obtained by using the weighted method. Finally, the storm surge vulnerability index is normalized to 0-1, which can be used to evaluate the vulnerability level of storm surge in each assessment unit.

0 2020-12-24

Risk Assessment Dataset of Storm Surge Disasters at ten meters Scale of hambantota (2015-2018)

On the basis of the global tropical cyclone track dataset, the global disaster events and losses dataset, the global tide level observation dataset and DEM data, coastline distribution data, land cover information, population and other related data of the Belt and Road, indicators related to the disaster risk and vulnerability of storm surge in each unit are extracted and calculated using10 meter grid as evaluation unit, such as historical intensity of tide level frequency of storm historic arrival, historical loss, population density, land cover type, etc. The comprehensive index of storm surge disaster risk is constructed, and the risk index of storm surge is obtained by using the weighted method. Finally, the storm surge risk index is normalized to 0-1, which can be used to evaluate the risk level of storm surge in each assessment unit. The data set includes 20-year, 50-year, and 100-year corresponding risks.

0 2020-12-24