1) The data content includes: high-speed friction test data of rock mass structural plane in the sliding source area of typical high-speed remote landslide, physical simulation test data of high-speed remote landslide fragmentation, high-speed ring shear test data of sliding belt in the circulation area of typical landslide, fine particle migration and reverse order physical simulation test data in the accumulation area of landslide, high-speed remote landslide numerical simulation system and evaluation data. 2) Data source and processing method: test data collection. 3) Data quality description: good - General. 4) Data application achievements and prospects: it can be used to study the initiation, movement and accumulation mechanism of high-speed and long-distance rock landslide in Qinghai Tibet Plateau, and simulate the whole process of landslide movement.
WEN Baoping
Data content: Storage capacity curve of the Hongshiyan, yibadao and xiaogangjian impoundment and flow hydrograph data of breach Data source: through literature search, classification, consolidation and compilation. Data quality description: through literature retrieval, data of four typical barrier lakes were compiled, including Hongshiyan barrier lake in Ludian, Yunnan, xiaogangjian (upper) barrier lake in Mianzhu County, Deyang City, Sichuan, and yibadao barrier lake in Mianzhu County, Deyang City, Sichuan. The basic parameters compiled here include: dam crest elevation, dam height, dam width and other basic parameters, as well as discharge channel parameters, dam grading, storage capacity curve, breach discharge hydrograph and other parameters, which were summarized and analyzed. It can provide a reference for the parameters of barrier lakes in the Qinghai Tibet Plateau.
ZHANG Xinhua
Data content: A large database of 1230 worldwide dam cases Data source: through literature search, classification, consolidation and compilation. Data quality description: classify and sort out the historical cases of weir plug dam from two aspects: qualitative description and quantitative description. The qualitative description includes the country, the name of the dam, the formation time, the type of landslide, the inducing factors, the type of dam body, the mechanism of collapse, etc; Quantitative description includes landslide volume, dam volume, dam height, dam length, dam width, barrier lake length, barrier lake volume, barrier dam life, breach depth, breach top width, breach bottom width, breach time, peak flow, casualties, etc.
ZHANG Xinhua
Data content: empirical formula calculation data of final bottom elevation of dam breach Data source: a large database containing 1230 dam cases around the world based on literature retrieval. Collection method: processing and fitting through Excel data processing software. Data quality description: in order to solve the problem of assigning the final bottom elevation of the dam breach, based on the collected data of dam height and breach depth in the dam database, combined with the classification method of overtopping breach dam body erosion proposed by briaud in 2008, the dams were divided into three types: high, medium and low erosion degrees. Then the dam height and breach depth of the dam plug dam with different erosion degrees were regressed, The empirical formula for the depths of dam breaches with different erosion degrees were also fitted, and then the final bottom elevations of dam breaches were determined.
ZHANG Xinhua
This data combines the direct economic loss risk assessment results of earthquake and geological disasters. According to the obtained loss assessment results, the study area is divided into nine categories according to the risk level, which are seismic geological low-risk area, geological medium seismic low-risk area, seismic medium geological low-risk area, seismic geological medium risk area, geological high epicenter risk area and seismic high quality low-risk area, Geological high seismic low risk area, seismic high quality low risk area and seismic geological high risk area. The data results of this multi disaster direct economic loss risk assessment provide a basis for the spatial distribution of direct economic losses in the Asian water tower area and the surrounding areas of the Himalayas in the future.
WU Jidong
This data includes the seismic data of the Qinghai Tibet Plateau, the Asian water tower region and the Himalayas region from 1971 to 2021, The main attributes include earthquake occurrence time (UTC), longitude, latitude, earthquake depth, magnitude, magnitude type and occurrence area. It is divided into shp files and tabular data, which can be more convenient for relevant personnel to use. This data can help relevant personnel understand the earthquake distribution on the Qinghai Tibet Plateau and interpret the relationship between earthquake occurrence location and relevant structural zones. This data is derived from https://earthquake.usgs.gov/data/pager/ , download by selecting the initial target area and time, export by using ArcGIS tools, filter and make according to the edited files of the scientific research area of the Qinghai Tibet Plateau.
LIU Jifu
1) The data content includes three stages of soil erosion intensity in Qinghai-Tibet Plateau in 1992, 2005 and 2015m the grid resolution is 300m.2) The data of soil erosion intensity are obtained by using the Chinese soil erosion prediction model (CSLE). The formula of soil erosion prediction model includes rainfall erosivity factor, soil erodibility factor, slope length factor, slope factor, vegetation cover and biological measure factor, engineering measure factor and tillage measure factor. Rainfall erodibility factors are calculated from the daily rainfall data by the US Climate Prdiction Center (CPC); soil erodibility factors, engineering measures factors and tillage measures factors are obtained from the first water conservancy census data; slope length factors and slope factors are obtained by resampling after calculating 30 m elevation data; vegetation coverage and biological measures factors are obtained by combining fractional vegetation cover with land use data and rainfall erodibility proportionometer. The fractional vegetation cover is calculated by MODIS vegetation index products through pixel dichotomy. 3) Compared with the data of soil erosion intensity in the same region in the same year, there is no significant difference and the data quality is good.4) the data of soil erosion intensity is of great significance for studying the present situation of soil erosion in Pan third polar 65 countries and better carrying out the development policy of the area along the way.
ZHANG Wenbo
The Slope Length and Stepness Factor (LS) dataset of Pan-third pole 20 country is calculated based on the free accessed 1 arc second resolution SRTM digital elevation data (Shuttle Radar Topography Mission, SRTM; the website is http://srtm.csi.cgiar.org）. After the pre-processing such as pseudo edge removal, filtering and noise removal, the LS factor with 7.5 arc second resolution was calculated with the LS factor algorithm in CSLE model and the LS calculation tool (LS_tool) developed in this project. The LS factor data of Pan-third pole 20 countries is the fundamental data for soil erosion rate calculation based on CSLE, and it also the fuandatmental data for analyzing the erosion topographic characteristics of Pan third pole 20 countries (such as macro distribution and micro pattern of elevation, slope and slope) . The dataset if of great importance for the analysis of geomorphic characteristics and geological disaster characteristics in this area.
YANG Qinke
1)The datase includes a 30-year (1986-2015) average rainfall erosivity raster data for 20 countries in key regions, with a spatial resolution of 300 meters. 2）The 0.5°×0.5° grid daily rainfall data generated by the Climate Prediction Center (CPC) based on global site data was used to calculate the rainfall erosivity R factor of 20 countries in key regions. 3）The daily rainfall data of 2358 weather stations nationwide from China Meteorological Administration from 1986 to 2015 was used to calculate the R value, and the R value calculated by establishing the CPC data source was rechecked and verified. It is found that the R value calculated by the CPC data system was low, and then it was revised, and the final data obtained was of good quality. 4）Rainfall erosivity R factor can be used as the driving factor of the CSLE model, and the data is of great significance for the simulation of soil erosion in 20 countries in key regions and the analysis of its spatial pattern.
ZHANG Wenbo
1)The dataset includes the grid data of vegetation coverage and biological measure factor B of 20 countries in key regions, with a spatial resolution of 300 meters. 2）The basic data source is the MODIS MOD13Q1 product from 2014 to 2016 with a spatial resolution of 250 m. Based on this, a 24-half month average vegetation coverage raster data during a 3 year period was calculated, and then the soil loss ratio was calculated according to the land type. The, the 24- half months rainfall erosivity was further weighted and averaged to obtain a grid map of vegetation coverage and biological measures B factor. 3）MOD13Q1 remote sensing vegetation data was processed by cloud removal. The calculated B factor was statistically analyzed by landuse types and rationality analyzed. The final data quality is good. 4）The factor B of vegetation coverage and biological measures reflects the impact of surface land use/vegetation coverage on soil erosion, and is of great significance for soil erosion simulation and spatial pattern analysis in 20 key regions.
ZHANG Wenbo
According to Ya'an Qamdo, Qamdo Nyingchi, Nyingchi Lhasa and other sections, carry out field investigation on debris flow within 10km along the new Sichuan Tibet railway line and Sichuan Tibet highway, fill in debris flow questionnaire and take photos. Based on the investigated debris flow data, the basic data are provided for the pregnant disaster background characteristics and distribution law of Sichuan Tibet traffic corridor. At the same time, the hazard modes of debris flow and the hazard modes to highway, railway and other traffic lines are investigated in detail; Furthermore, debris flow risk, vulnerability and risk assessment shall be carried out along the new Sichuan Tibet railway line at different scales such as regional scale, key sections and typical disasters, so as to provide support for the route selection of Sichuan Tibet railway.
CHEN Huayong, YANG Dongxu, LIU Jifeng, CHEN Xingzhang
The distribution data of debris flow in Sichuan Tibet transportation corridor includes two layers, one is the point layer, which mainly marks the location of debris flow gully, the other is the area layer, which is the drainage area of debris flow gully. The source of the data is the combination of remote sensing identification and ground investigation. Firstly, the remote sensing image is used to interpret the location of the debris flow gully in the region, and then the ground investigation of the debris flow gully is carried out along the Sichuan Tibet railway and Sichuan Tibet highway. The remote sensing interpretation data is verified, and finally the more reliable debris flow distribution data is obtained. The data can be used to analyze the distribution of debris flow in Sichuan Tibet transportation corridor, multi-scale debris flow risk assessment and risk assessment.
CHEN Huayong, LIU Jifeng, YANG Dongxu, CHEN Xingzhang
1) Data content: ① indoor static tension video, infrared monitoring video and static tension analysis data chart of giant NPR anchor cable; ② Indoor dynamic impact video of giant NPR anchor cable; 2) Data sources: the static tension process, infrared monitoring and dynamic impact process of indoor giant NPR anchor cable were recorded, and the static tension data were imported into Origin Software for data processing and analysis; 4) Through the indoor static tension and dynamic impact tests on the giant NPR anchor cable, the supernormal mechanical properties of the giant NPR anchor cable are obtained, which can provide supporting materials for the prevention and control of slope disasters in fault zone, early warning monitoring and cross fault tunnel prevention.
TAO Zhigang
As a typical representative of mountainous areas in western China, Hengduan Mountain Area has become one of the areas with frequent and most serious geological disasters, which has brought great threats to rural settlements located in mountainous areas. Therefore, the vulnerability of village disasters and comprehensive risk prevention capability have gradually become an important topic of disaster prevention and disaster mitigation in rural areas. This data is from a random questionnaire survey conducted in Xiamachang Village, Meixing Town, Xiaojin County, Dashiban Village, Huiping Town, Mianning County, Sichuan Province, and Qina Village, Qina Town, Yongsheng County, Yunnan Province, from August to September, 2020. And the interviewees are mainly adults who is familiar with family situations. The design of the questionnaire is based on the principles of scientific nature, applicability, feasibility, typicality and concreteness. And Questionnaire on Disaster Risk Prevention Ability and Social Vulnerability of Villages in the Hengduan Mountain Area is designed for individual villages in the Hengduan Mountain Area. In order to ensure the reliability and validity of the questionnaire, some questionnaire was pre-investigated before the formal investigation, and there were some modification and improvement about the problem founded. Also, before the formal questionnaire survey, the investigators were given an explanation of the questionnaire and the training of the survey skills. 171 questionnaires were completed in this survey. After eliminating 20 invalid questionnaires, 151 valid questionnaires were obtained, including 50 from Xiamachang Village, 39 from Dashiban Village and 62 from Qina Village, respectively. The effective rate of questionnaires was 88.3%.
ZHOU Qiang, ZHANG Qiang, LIU Fenggui, SUN Peng, CHEN Qiong, ZHAO Fuchang, ZHI Zemin
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.
DENG Hongyan , WANG Jiao, WANG Yufeng
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.
ZHANG Qiang, ZHOU Qiang, WU Wenhuan, ZHAO Jiaqi, YUAN Ruyue
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.
JIANG Liming, JIANG Liming, JIANG Liming, HUANG Ronggang, WANG Huini
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.
YANG Yaping
The main content of the data set is the survey data set of slope and pavement engineering diseases along G317 and G318 national highways, which is obtained through field survey. The survey time is from January 9 to January 19, 2020, and from August 10 to September 2, 2020. The respondents were G317 (Nagqu Ganzi) of North Sichuan Tibet line and G318 (Lhasa Xinduqiao) of South Sichuan Tibet line. The types of diseases investigated mainly include slope diseases and disasters induced by freezing and thawing (rockfall, dangerous rock mass and debris slope), pavement crack diseases, loose diseases, pit diseases, subgrade deformation diseases and salivary flow ice diseases in winter. Using the method of manual investigation, observe the damage of various diseases, and record the number (SCOPE), damage degree and location of various types of damage according to the requirements. The data set can provide a basis for a comprehensive understanding of the freeze-thaw diseases of the main highway projects in Sichuan Tibet engineering corridor and related research.
NIU Fujun
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.
ZHOU Liqin, TANG Chenxiao
The data set records the statistical data of fire accidents in Qinghai Province from 1998 to 2010, which are divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 13 tables Fire accident 2001.xls Fire accident 2006.xls Fire accident 2007.xls Fire accident 2008.xls Fire accident 2009.xls Fire accident 2010.xls Fire accident 1998.xls Fire accident 1999.xls Fire accident 2000.xls Fire accident 2002.xls Fire accident 2004.xls Fire accident 2006.xls Fire accident 2003.xls The data table structure is the same. For example, there are six fields in the data table of fire accidents in 2001 Field 1: Category Field 2: number of fires Field 3: number of deaths Field 4: number of injured persons Field 5: loss converted into RMB 10000 Field 6: cause of fire
Qinghai Provincial Bureau of Statistics
One belt, one road, one belt, one road, one belt, one road, is the key city to solve the extreme drought climate events. 34 key nodes (important cities, major projects, ports and industrial parks) are selected to carry out extreme drought risk assessment. Construction. The data one belt, one road area, and 34 extreme nodes in the "one area" area were evaluated by the extreme drought risk assessment index system. The time resolution and spatial resolution were 300 months. In order to facilitate the analysis of extreme drought risk index, the slope of the linear regression equation of monthly drought risk index at each pixel scale from 2014 to 2015 is calculated, which is used to represent the temporal variation characteristics of extreme drought (greater than 0 means drought aggravation, less than 0 means drought alleviation). At the same time, it can also reflect the spatial difference of extreme drought on the regional scale because it calculates the temporal change rate of each pixel.
WU Hua, ZHANG Dan, CHEN Baozhang
One belt, one road, one belt, one road, one belt, one road, is the key city to solve the extreme drought climate events. 34 key nodes (important cities, major projects, ports and industrial parks) are selected to carry out extreme drought risk assessment. Construction. In one belt, one road area is divided into 34 zones with 1km resolution. The data are based on the linear regression slope of 2011-2015 years' multi period drought risk as the "extreme drought state change". The scientific basis for the drought disaster in China's overseas parks, ports, major construction projects, operation management, environmental problems, and prevention and control is provided. One belt, one road, the third pole area, is to promote and ensure the smooth implementation of the regional development strategy.
WU Hua, ZHANG Dan, CHEN Baozhang
One belt, one road, one belt, one road, one belt, one road, is the key city to solve the extreme drought climate events in 34 key nodes (important cities, major projects, ports and industrial parks). The risk assessment of extreme drought is carried out. The research supports the green "one belt and one road" construction of the spatial route map, and serves the green "one belt and one road" construction. Design. For the risk assessment of drought disaster in each node, the hazard of disaster causing factors refers to the change characteristics and abnormal degree of the main meteorological factors causing drought disaster, such as the abnormal reduction of natural precipitation, the increase of evaporation or the abnormal high temperature. It is generally believed that the risk of drought disaster increases with the increase of the risk of disaster causing factors. Based on the spatialized satellite and reanalysis data of temperature, precipitation and soil available water content, the Palmer drought index of key node area was calculated to characterize the risk of extreme drought disaster factors in each node. One belt, one road and the other major projects should be built for the construction of the overseas parks, ports, major projects, and the scientific basis and Countermeasures for dealing with the drought disasters.
WU Hua, ZHANG Dan, CHEN Baozhang
One belt, one road, one belt, one road, one belt, one road, is the key city to solve the extreme drought climate events in 34 key nodes (important cities, major projects, ports and industrial parks). The risk assessment of extreme drought is carried out. The research supports the green "one belt and one road" construction of the spatial route map, and serves the green "one belt and one road" construction. Design. The vulnerability of drought disaster risk assessment for each node, on the one hand, depends on the sensitivity of different land cover types to drought disasters; on the other hand, it reflects the health of the ecological environment, determines the region's ability to bear and recover from drought disasters, which shows that the surface features under different land cover types are adversely affected by drought disasters The tendency to be loud. Using the 2015 land cover data of the "2018 silk road environment special project" source data, the vulnerability characteristics of different land cover types are measured by factor analysis method, and the weight of land vulnerability is assigned. The extreme drought vulnerability index with 100 m resolution of each node is obtained, which can provide reference for the construction planning, operation management and environmental problems of China's overseas parks, ports and major projects One belt, one road, one is the first and third, the other is the first and third.
WU Hua, ZHANG Dan, CHEN Baozhang
The data set is a 2015 heat wave risk data set in Dhaka, Bangladesh, with a spatial resolution of 30m and a temporal resolution of year. Heat wave risk refers to the probability or loss possibility of harmful consequences caused by the interaction between heat wave hazard (possible heat wave events in the future), heat wave exposure (total population, livelihood and assets in the area where heat wave events may occur) and heat wave vulnerability (the tendency of the disaster bearing body to suffer adverse effects when affected by heat wave events) . The risk assessment method of heat wave is "hazard-exposure-vulnerability". The data set has been proved by experts, which can provide support for regional high temperature heat wave risk assessment.
YANG Fei, YIN Cong
The data set is a 2015 heat wave hazard, exposure and vulnerability data set in Dhaka, Bangladesh, with a spatial resolution of 30m and a temporal resolution of yearly. Heat wave hazard is an index to measure the severity of heat wave event, which is expressed by surface temperature; heat wave exposure refers to the degree that human, livelihood and economy may be adversely affected, which is expressed by nighttime lighting data, and population density. The population older than 65 and younger than 5 years old constitute vulnerable groups; heat wave vulnerability is a measure of increased / reduced risk in the environment. The distance from road / hospital and ambulance station / water body, NDVI, impervious layer and slum area are used to represent the vulnerability of high temperature heat wave. The data set has been proved by experts, which can provide support for regional high temperature heat wave risk assessment.
YANG Fei, YIN Cong
The data set records the comparison of direct economic losses caused by geological disasters in Qinghai Province from 2011 to 2018. The data is collected from the Department of ecological environment of Qinghai Province, and the data set contains 8 data tables, which are: direct economic losses caused by sudden geological disasters in 2011, direct economic losses caused by sudden geological disasters in 2012, comparison chart of direct economic losses caused by sudden geological disasters in 2013 and comparison chart of direct economic losses caused by geological disasters in 2014 The statistical table of direct economic losses caused by sudden geological disasters in Qinghai Province in 2015, the statistical table of direct economic losses caused by sudden geological disasters in Qinghai Province in 2016, the comparison of direct economic losses caused by sudden geological disasters in Qinghai Province in 2017, and the comparison chart of direct economic losses caused by sudden geological disasters in Qinghai Province in 2018 have the same data table structure. Each data table has two fields, such as the comparison chart of direct economic losses caused by sudden geological disasters in Qinghai Province in 2013 Field 1: disaster type Field 2: direct economic loss
Department of Ecology and Environment of Qinghai Province
The data set records the Geological Environment Bulletin of Qinghai Province from 2011 to 2019. The data set contains 9 PDF data files, which are collected from the Department of natural resources of Qinghai Province. Qinghai provincial government order No. 72 "geological environment protection, social and environmental protection for the people of Qinghai Province" is the basis for the comprehensive protection of the geological environment, According to the geological environment survey and monitoring data, the provincial natural resources department publishes the annual Geological Environment Bulletin and publishes the annual geological environment status of our province to the public. The main contents of the Geological Environment Bulletin of Qinghai province include: the distribution characteristics, causes, harm degree and prevention and control of geological disasters in the whole province; the development and utilization of groundwater resources and dynamic changes, groundwater pollution; the protection and restoration of mine geological environment. The Geological Environment Bulletin of Qinghai Province is jointly compiled by the geological exploration management office of Qinghai Provincial Department of natural resources and the geological environment monitoring station of Qinghai Province.
Department of Natural Resources of Qinghai Province
The data set records the frequency statistics of typical geological disasters in Qinghai Province from 2011 to 2016. The data is collected from the Department of ecological environment of Qinghai Province. The data set contains six data tables, which are: the frequency of sudden geological disasters in 2011, 2012, 2013, 2014 and 2015 Statistical table, 2016 Qinghai Province sudden geological disasters frequency statistical table, data table structure is the same. There are two fields in each data table, such as the occurrence frequency of sudden geological disasters in 2011: Field 1: Location Field 2: frequency ratio
Department of Ecology and Environment of Qinghai Province
The data set records the typical geological disasters in Qinghai Province from 2011 to 2018. The data set includes 10 data tables, which are: typical geological disasters in 2011, 2012, 2013, 2013, distribution, 2014, etc The data structure of typical geological disasters in 2018 is the same. Each data table has five fields, such as the typical geological disasters in 2011: Field 1: Location Field 2: disaster type Field 3: time of occurrence Field 4: scale Field 5: hazards and losses
ZHAO Hu
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.
ZOU Qiang
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.
ZOU Qiang
Gwadar deepwater port is located in the south of Gwadar city in the southwest of Balochistan province, Pakistan. It is 460km away from Karachi in the East and 120km away from the Pakistan Iran border in the West. It is adjacent to the Arabian Sea in the Indian Ocean in the South and the Strait of Hormuz and the Red Sea in the West. It is a port with a strategic position far away from Muscat, the capital of Oman. This data set is an extreme drought risk assessment data set. From the four aspects of extreme drought risk, exposure, vulnerability, and stability, the Palmer drought index, elevation, water system, land use, population density, GDP density, inter field water capacity, and other data are used to comprehensively assess the extreme drought risk of the region. The spatial resolution of the data is 30 meters and the time is 2015.
WU Hua
The historical storm surge events data of the 34 key areas along One Belt One Road were first collected from Internet and then re-processed. First, a Web crawler was coded by python language. Using several key words about storm surge, web pages were then collected by Google and Baidu search engine. Last, important information about the storm surge events (e.g., place, time, affected area, affected population, count of death) were extracted from web pages. This data can be used for risk assessment of storm surge in the 34 key areas along One Belt One Road.
GE Yong, LING Feng
The historical extreme precipitation events data of the 34 key areas along One Belt One Road were first collected from Internet and then re-processed. First, a Web crawler was coded by python language. Using several key words about extreme precipitation, web pages were then collected by Google and Baidu search engine. Last, important information about the extreme precipitation events (e.g., place, time, affected area, affected population, count of death) were extracted from web pages. This data can be used for risk assessment of extreme precipitation in the 34 key areas along One Belt One Road.
GE Yong, LING Feng
The evaluation area of the data set is the central urban area of Yangon deepwater port. The data set is based on the extreme precipitation disaster risk spatial distribution data set (2019) and its evaluation index system. The data set considers both precipitation risk and terrain risk. Among them, precipitation risk index includes extreme precipitation intensity index and extreme precipitation frequency index, both of which are obtained from GPM precipitation data. Terrain risk mainly considers elevation index. Finally, the risk assessment results of extreme precipitation disaster are obtained. The probability and intensity of extreme precipitation disaster in high risk area are higher than those in low risk area.
GE Yong, LI Qiangzi, LI Yi
The area of the data set is the central urban area of Yangon deep water port. The data set is based on the spatial distribution data set of extreme precipitation disaster vulnerability (2019) and refers to its evaluation index system. When evaluating the vulnerability of extreme precipitation disaster in Yangon deepwater port area, the disaster reduction ability and sensitivity index are considered. The disaster reduction ability is negatively correlated with vulnerability, and the sensitivity is positively correlated with vulnerability. Disaster reduction capacity considers the density of impervious surface, road network and emergency rescue facilities; sensitivity considers the local land cover types, including farmland, urban and road crisscross. When extreme precipitation disaster occurs, high vulnerability areas will suffer more serious losses, and the reconstruction is more difficult.
GE Yong, LI Qiangzi, LI Yi
One belt, one road level, is set up. The data set is based on the 100 meter risk assessment data set and the 100m level vulnerability assessment dataset. The risk assessment data set of 34 nodes and 100 meters in the key area of the whole area is calculated based on the international definition of risk, risk (R) = hazard (H) * vulnerability (V). The data set assessed one belt, one road, the extreme precipitation risk under extreme precipitation events, and provided the basis for local government departments' decision-making. At the same time, it could make early warning before the flood disaster, so that we could gain valuable time to take measures to prevent and reduce disasters and reduce the loss of lives and property of people caused by floods.
GE Yong, LI Qiangzi, LI Yi
One belt, one road, 34 key nodes, is used to assess the risk of flooding in the key areas of the "one belt" Road area under extreme precipitation events. It provides a basis for local government departments to make decisions and early warning before the flood. Thus, we can gain valuable time to take measures to prevent and reduce disasters and reduce the lives of the people. Loss of property. The data set takes one belt, one road, 34 key nodes, and the ratio of cultivated land to land, the proportion of urban land, the proportion of interlaced zone, the density of road network and the impervious surface. Based on the spatial analysis method in ArcGIS, the weights of each index are assigned. The vulnerability of 34 key nodes under extreme precipitation conditions is evaluated, and the vulnerability is determined by natural breakpoint method. Sex is divided into five levels, which represent no vulnerability, low vulnerability, medium vulnerability, high vulnerability and extremely high vulnerability.
GE Yong, LI Qiangzi, LI Yi
Based on the global surface water data (wod) from 1984 to 2018, the extreme precipitation frequency index and extreme precipitation intensity index were selected. Combined with the spatial analysis method in ArcGIS, the risk level of flood disaster in 34 key nodes under extreme precipitation conditions was constructed and evaluated. One belt, one road, 34 key nodes, is evaluated for the risk of flooding in the key areas of the "one belt" Road area under extreme precipitation events, which provides a basis for local government departments to make decisions and early warning before floods occur, so that we can gain valuable time for disaster prevention and mitigation measures to reduce the lives of the people brought by floods. Loss of property.
GE Yong, LI Qiangzi, LI Yi
This data set is based on the spatial distribution data set of extreme precipitation disaster risk (2019) and vulnerability spatial distribution data set (2019) in Yangon deep water port area, combined with GDP and population distribution data of Yangon deep water port area, and through the definition of "risk = exposure × vulnerability × risk", the risk of extreme precipitation disaster in Yangon deepwater port area is calculated. The data set can provide a reference for the local disaster prevention and reduction work. By analyzing the distribution and causes of high risk, we can put forward engineering measures or non engineering measures to achieve the purpose of disaster reduction and prevention, and reduce the loss of people's lives and property caused by extreme precipitation disasters.
LI Yi
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.
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.
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.
The Land Surface Temperature in China dataset contains land surface temperature data for China (about 9.6 million square kilometers of land) during the period of 2003-2017, in Celsius, in monthly temporal and 5600 m spatial resolution. It is produced by combing MODIS daily data(MOD11C1 and MYD11C1), monthly data(MOD11C3 and MYD11C3) and meteorological station data to reconstruct real LST under cloud coverage in monthly LST images, and then a regression analysis model is constructed to further improve accuracy in six natural subregions with different climatic conditions.
MAO Kebiao
The accuracy of tropical cyclone (tropical storm) track forecasting improved by nearly 50% for lead times of 24–72 h since 1990s. Over the same period forecasting of tropical cyclone intensity showed only limited improvement. Given the limited prediction skill of models of tropical cyclone intensity based on environmental properties, there have been a wealth of studies of the role of internal dynamical processes of tropical cyclones, which are largely linked to precipitation properties and convective processes. The release of latent heat by convection in the inner core of a tropical cyclone is considered crucial to tropical cyclone intensification. 16-year satellite-based precipitation, and clouds top infrared brightness temperature were used to explore the relationship between precipitation, convective cloud, and tropical cyclone intensity change. The 6-hourly TC centers were linearly interpolated to give the hourly and half hourly tropical cyclone center positions, to match the temporal resolution of the precipitation and clouds top infrared brightness temperature. More precipitation is found as storms intensify, while tropical cyclone 24 h future intensity change is closely connected with very deep convective clouds with IR BT < 208 K. Intensifying tropical cyclones follow the occurrence of colder clouds with IR BT < 208 K with greater areal extents. As an indicator of very deep convective clouds, IR BT < 208 K is suggested to be a good predictor of tropical cyclone intensity change（Ruan&Wu，2018，GRL）. The properties of the satellite-based precipitation, and clouds top infrared brightness temperature are therefore suggested to be important measurements to study tropical cyclone intensity, intensity change and their underlying mechanisms. The high resolution of the satellite-based precipitation (3h), and cloud top infrared brightness temperature (half hour) datasets also makes them possible to be used to study tropical cyclone variability associated with diurnal cycle.
WU Qiaoyan
The basic data source of this dataset is from the website of the National Oceanic and Atmospheric Administration (NOAA). NOAA satellites are meteorological observation satellites. Provide meteorological environment information including temperature, precipitation, dew point, wind speed, etc. This dataset mainly covers key nodes in the pan-third pole Southeast Asia and Middle East regions. The main steps of data processing are as follows: First, according to the definition of high temperature heat waves in China's national standard "GB / T 29457-2012", based on basic meteorological data, determine the occurrence of high temperature heat waves, and then statistically obtain the frequency of high temperature heat waves. The time and occurrence intensity are collated to obtain the historical high temperature heat wave disaster event data set. This data set is helpful for clarifying the occurrence of extreme high temperature disasters in each study area, and provides reference materials and a strong basis for judging the intensity of high temperature heat waves in each area.
GE Yong, LIU Qingsheng
This data set is a collection of statistics on major geological disasters in the Himalayas, the study area starts in Zada County, Guer County of The Ali region in the west, the east side is bounded by the Yalu-Zanbu River, the northern boundary is the Yalu-Zanbu River break, south to the vast Himalayan region of the national boundary. The Himalayas are located in the southwest of China, the southwest of the Qinghai-Tibet Plateau, the world's largest, highest and youngest mountain range, the world's highest peak Mount Qomolangma is located here. Here the geological structure is complex, seismic activity is frequent, the new tectonic movement is strong, the internal and external dynamic geological action is very active, is one of the most serious geological disasters in China. The original data of the data set is digitized from the report of the Remote Sensing Survey of Major Geological Disasters in the Himalayas, and the total number of disaster statistics is more than 540, including three types of disasters: landslides, mudslides and glacial final lake collapses. This data set provides basic data for the study of disaster reduction and prevention in the Himalayas region of Tibet, and is of reference value for research in related fields.
TONG Liqiang
Water scarcity，food crises and ecological deterioration caused by drought disasters are a direct threat to food security and socio-economic development. Improvement of drought disaster risk assessment and emergency management is now urgently required. This article describes major scientific and technological progress in the field of drought disaster risk assessment. Drought is a worldwide natural disaster that has long affected agricultural production as well as social and economic activities. Frequent droughts have been observed in the Belt and Road area, in which much of the agricultural land is concentrated in fragile ecological environment. Soil relative moisture index is one of the indicators that characterize soil drought. It is the ratio of soil relative humidity to field water holding capacity, which can directly reflect the availability of water for crops.The soil moisture data is obtained from the SMAP remote sensing soil moisture data product through the downscaling method, and the field water holding capacity data comes from the Hamonized World Soil Database (HWSD). For detailed calculation formulas and methods, please refer to: "National Standard for Agricultural Drought Grades of China" No.: GB/T 32136-2015. The data covers 34 key node areas along the Belt and Road.
WU Hua
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