The 10m level elevation data set of Yangon deep water port area is the DEM data of the main urban area of Yangon deep water port. DEM is the abbreviation of digital elevation model, which is the important original data of watershed terrain and feature recognition. The data set can reflect the local topographic features of the main urban area of Yangon deep-water port with 10m resolution. Therefore, a large amount of surface morphological information can be extracted from the data set, which includes the slope, aspect and the relationship between cells of the basin grid. It can provide accurate topographic data and reliable verification data for the study of the main urban area of Yangon deep-water port.
GE Yong LI Qiangzi LI Yi
Coupled Model Intercomparison Project Phase 5 (CMIP5) provides a multiple climate model environment, which can be used to predict the future climate change in the key nodes in the Belts and Road to deal with the environmental and climate problems. Key nodes in the Belt and Road are taken as the study regions of this dataset. The ability of 43 climate models in CMIP5 to predict the future climate change in the study regions was assessed and the optimal models under different scenarios were selected according to the RMSE between the prediction results and real observations. This dataset is composed of the prediciton results of precipitation and near-surface air temperature between 2006 and 2065 using the optimal models in monthly temporal frequncy. The spatial resolution of the dataset has been downscaled to 10 km using statistical downscaling method. Data of each period has three bands, namely maximum near-surface air temperature, minimum near-surface air temperature and precipitation. In this data set, the unit of precipitation is kg / (m ^ 2 * s), and the unit of near-surface air temperature is K. This dataset provides data basis for solving environmental and climate problems of the key nodes in the Belts and Road.
LI Xinyan LING Feng
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.
The spatial distribution data set of disaster prevention and mitigation facilities in hambantota and Colombo (2016-2018) is obtained by extracting classification information from high-resolution remote sensing images. Based on the fusion of 1-2m remote sensing image data, combined with POI data, the distribution information of hospital, fire protection and refuge facilities were extracted respectively. On this basis, the relevant layers and poi layers of OSM were superimposed with the extracted results and images. Through visual inspection, errors were found and the extracted results were corrected. Finally, hambantuota was formed Vector layer data of disaster prevention and mitigation related facilities in the node and Colombo area.
The spatial distribution data set of infrastructures such as traffic and water system in the areas of hambantota and Colombo (2016-2018) is obtained by extracting classification information from high-resolution remote sensing images. Based on the 1-2m remote sensing image data, the distribution information of road, water, coastline, and coastal facilities are extracted respectively. On this basis, the road, and other layers of OSM are superimposed with the extracted results and images. Through visual inspection, errors are found and the extracted results are corrected. Finally, the hambantota node area dataset is formed road, water system, coastline, and coastal facilities distribution layer of the region. This data set contains the data information of two key node regions of hambantota and Colombo.
The meter resolution remote sensing image data of hanbantota area is composed of data fusion and splicing of different satellites. Multispectral remote sensing images with resolution between 0.5 m and 1 m from 2018 to 2019 are selected, and cloud free data with similar time are selected, and the result data set is formed by cutting and splicing according to the research area. The spatial resolution of the data is about 0.6 meters. The data is mainly used to study the high-precision extraction of disaster bearing body elements, such as port facilities, roads and so on. The extracted thematic elements will be used as the basic data of storm surge exposure and vulnerability analysis.
The elevation data set of Hambantota port area with 5-meter resolution is obtained from the stereo image pair data of ZY-3 satellite. ZY-3 carried four optical cameras, including an emmetropic panchromatic TDI CCD camera with a ground resolution of 2.1m, a forward and backward panchromatic TDI CCD camera with a ground resolution of 3.5m, and an emmetropic multispectral camera with a ground resolution of 5.8m. Among them, the three line array stereo image pairs formed by push broom imaging of forward looking and back looking panchromatic cameras can be used for DEM extraction. Through the retrieval of the transit information and data of ZY-3 from 2018 to 2019, the cloudless stereo images of hambantota area are selected for DEM extraction. The steps including defining ground control points, connection points, setting DEM extraction parameters and editing results.
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
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
Evapotranspiration over the Qinghai Tibet Plateau is calculated by etwatch, a land surface evapotranspiration remote sensing model based on multi-scale and multi-source data. Etwatch adopts the method of combining the residual term method with P-M formula to calculate evapotranspiration. Firstly, according to the characteristics of the data image, the suitable model is selected to retrieve the evapotranspiration on a sunny day; the remote sensing model is often lack of data because the weather conditions can not obtain a clear image. In order to obtain the daily continuous evapotranspiration, the penman Monteith formula is introduced, and the evapotranspiration results on a sunny day are regarded as the "key frame", and the surface impedance information of the key frame is used as the basis to construct the surface impedance Based on the daily meteorological data, the time series data of evapotranspiration are reconstructed. Through the data fusion model, the high spatial and temporal resolution evapotranspiration data set is constructed by combining the low and medium resolution evapotranspiration temporal variation information with the high resolution evapotranspiration spatial difference information, so as to generate the 8 km resolution evapotranspiration of the Qinghai Tibet Plateau Data sets (1990-2015).
The Sixth Zhabuye Section locates at the northern part of the Zhabuye salt lake in Zhongba County, Tibet. The Middle Permian carbonates of the Xiala Formation outcropped very well in the region. This section has a thickness of 200 meters and was divided into 6 units. The lower 50 meters of the section is composed of limestones and chert layers. The chert layers in the above 100 meters decreased significantly, but they reappear in the top 35 meters. This section has abundant fusulines and smaller foraminifers. The fusulines has two assemblages, respectively Neoschwagerina majulensis-Kahlerina pachytheca assemblage in the lower and Chusenella quasifera-Codonofusiella nana assemblage in the upper. The foraminifers are divided into three assemblages, respectively Glomomidiellopsis specialisaeformis-Pachyphloia multiseptata assemblage, Lysites biconcavus-Shanita amosi assemblage and Lasiodiscus tenuis-Neoendothyra reicheli assemblage.
The Xiadong section locates at the Xiadong village region in Tsochen County, Tibet. The Permian strata in this region includes Largar, Angjie and Xiala formations. The Xiadong Section locates at the north of the Xiadong Village. The section is composed of entirely carbonates with abundant fusulines, smaller foraminifers and corals. The column exhibit the occurrences of fusulines and smaller foraminifers and their biostratigraphy. According to the fusulines, the age of the Xiala Formation at this section is middle Permian age. The fusulines can be subdivided into two assemblages, respectively Chenella changanchiaoensis-Neoschwagerina cheni in the lower and Nankinella-Chusenella assemblage in the upper. The foraminifers are divided into four assemblages, respectively Lasiodiscus tenuis-Palaeotextularia angusta elongata assemblage, Agathammina pusilla-A.vachardi assemblage, Hemigordiopsis-Midiella assemblage and Pachyphloi-Nodosinelloides assemblage.
The Mujiucuo section locates at the west of the Mujiucuo salt lake in Xainza County, Tibet. The Permian sequences oupcropped very well at the section. The Permian sequence at the section was divided into five formations, respectively Yunzhub, Largar, Angjie, Xiala and Mujiucuo formations. The Yunzhub Formation is composed of sandstone. The upper part of this formation contains limestone interlayers with 8 species of brachiopods. The brachiopods are grouped into the Costatumulus-Bandoproductus assemblage. The Xiala Formation is composed of entirely carbonates. The purplish limestone in the base of Xiala Formation consists of 6 species of brachiopods. They are grouped into the Alispiriferella-Retimarginifera celeteria assemblage. The overlying bed only contains one species Permophricodothyris elegantula. The brachiopods from these beds overall show a Gondwanan type in palaeobiogeography. It suggests that the Lhasa Block located not far away from the Gondwana margin. According to the constraints by fusulines and conodonts, the ages of beds 83, 86 and 87 are Middle Permian whereas those of beds 88 and 89 are late Permian. Brachiopods are found in many beds in the Xiala Formation. They are divided into two separate assemblages, respectively Echinauris opuntia-Neoplicatifera in the lower and Spinomarginifera lopingensis-Chonetinella cymatilis in the upper. Compared with the brachiopods from the Yunzhub Formation and basal Xiala Formation below, both assemblages from the middle and upper part of the Xiala Formation exhibit a pronounced palaeobiogeographical changes.
XU Haipeng ZHANG Yichun
The Mujiucuo section locates at the west of the Mujiucuo salt lake in Xainza County, Tibet. The Permian sequences oupcropped very well at the section. The beds from 83 to 89 consists mainly of bioclastic limestone with abundant fusulines and foraminifers. After careful examination, 13 species of fusulines and 37 species of smaller foraminifers are identified at the section. In terms of the occurrences of those fusulines and smaller foraminifers, the fusulines are subdivided into the lower Nankinella-Chusenella assemblage of Middle Permian and upper Codonofusiella schubertelloides zone of Late Permian. Similarly, the smaller foraminifers are also divided into lower Agathammina vachardi-Hemigordiopsis subglobosa assemblage and upper Glomomidiellopsis xainzaensis-Midiella reicheli assemblage. The dominance of Miliolinids in the section suggests an overall warm-water depositional settings.
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
25 members consisting of researchers from Nanjing Institute of Geology and Palaeontology, CAS and Nanjing University, reporters from Beijing News, technicians from China Unicom, drivers and kitchener undertook the investigation on the Palaeozoic strata and faunas from various regions in northern Tibet from 30 August to 3 October. The expedition areas include areas in northern Selingco, Rejuechaka and Rongma region in northern Nyima County, Wenbu area in southern Nyima County. The objective of the expedition includes: (1) the origin of the Permian limestone blocks within the Bangong-Nujiang suture zones; (2) the Permian-Triassic strata, faunas and floras in the Rejuechaka region, northern Tibet; (3) the Ordovician cephalopods in the Rongma area, Nyima County; (4) the Permian sequence and faunas in the Wenbu area, southern Nyima County. This album contains the full record of the investigation and geological phenomenon. The links in the album can directly link to the video in internet.
25 members consisting of researchers from Nanjing Institute of Geology and Palaeontology, CAS and Nanjing University, reporters from Beijing News, technicians from China Unicom, drivers and kitchener undertook the investigation on the Palaeozoic strata and faunas from various regions in northern Tibet from 5 September to 2 October. The expedition areas include areas in northern Selingco, Rejuechaka and Rongma region in northern Nyima County, Wenbu area in southern Nyima County. In northern Selingco region, the expedition focused on the faunas from the exotic limestone blocks within the Bangong-Nujiang suture zone. In the Rejuechaka region, the expedition attention was paid on the Permian-Triassic successions, sea-level changes, and Permian and Triassic faunas and floras. In the Rongma area, the Ordovician cephalopod and Permian microfossils within the Longmu Co-Shuanghu suture zone was investigated. In the Wenbu area, the research attention was paid on the stratigraphic transition from the ice-houce to green-house conditions during the early Permian time. This document record the full information about the field investigation.
The dataset contains the identification lists of fusulines, smaller foraminifers, brachiopods and conodonts from three sections at the Mujiucuo area, Xainza County, Tibet. The Permian strata has very good outcrops at the Mujiucuo region. The Permian strata is composed of the Yunzhub, Largar, Angjie, Xiala and Mujiucuo formations in ascending order. The Yunzhub Formation contains only abundant brachiopods, they show a typical Gondwanan cool-water type. The middle part of the Xiala Formation is composed of medium-bedded limestone with abundant foraminifers, fusulines and brachiopods. The upper part of the Xiala Formation contains abundant conodonts, smaller foraminifers and fusulines. According to the ages of the fossils, the limestone from the northwest Mujiucuo section corresponds to the bed 86 of the Mujiucuo section. The limestones from the short western Mujiucuo section corresponds to bed 89 of the Mujiucuo section. The limestone and dolomites from the No. 2 short section comes from the lower part of the Mujiucuo Formation.
The western and northeastern Yunnan is located in the southeast of the Qinghai Tibet Plateau. Previous genetic studies have shown that there are substantial genetic imprints of late Paleolithic human in this region, and these ancient genetic imprints are likely to spread further to the Qinghai Tibet Plateau. Therefore, the genetic study of the population in this area is helpful to clarify the migration history of early human settlement in the Qinghai Tibet Plateau. In this study, we studied the genetics of Dai people in different areas of Yunnan Province. The mitochondrial DNA hypervariable regions of 264 Dai individuals were sequenced by Sanger sequencing. Based on phylogenetic analysis, we control the quality of these data to ensure that there is no sample contamination and other quality problems. According to the revised Cambridge Reference Sequence, the variants were recorded. According to the phylogenetic tree of mitochondrial DNA in the world population (PhyloTree.org), each sample was allocated into certain haplogrop. Based on the published mtDNA data of Dai people in other areas, the maternal genetic structure and formation mechanism of Dai population were systematically studied. The results showed that there was a close genetic relationship among the Dai populations in different regions, and the haplogroups (F1a, M7B and B5a) shared by these populations could be traced back to southern China, suggesting that the Dai population might have originated in southern China and migrated southward to the mainland and Southeast Asia in the Iron or Bronze age. The genetic differentiation of the Dai population in different regions is consistent with the phenomenon that their language and culture have some differences, which indicates that the Dai people and the surrounding populations in the southward migration.
To investigate the paternal genetic structure of Tibetans from Shigatse, 434 male samples were collected from Shigatse, Tibet. Firstly, SNP genotyping was performed to allocate samples into haplogroups. To further evaluate the genetic diversity of the major Y-chromosomal haplogroup in Tibetan populations from Lhasa, eight commonly used Y-chromosomal STR (short tandem repeat) loci (DYS19, DYS388, DYS389I, DYS389II, DYS390, DYS391, DYS392, and DYS393) were genotyped using fluorescence-labeled primers with an ABI 3130XL Genetic Analyzer (Applied Biosystems, USA). The results indicated that haplogroup O-M175 displayed highest frequency in Shigatse Tibetans (47.00%, the majority of its sublineages were O2-M122), followed by haplogroups D-M174 (40.78%, with most of the samples belonging to D-P47 (20.97%) and D-N1(16.82%)). Another relatively rare lineages in Shigatse Tibetans were C-M217 (1.84%), R1a1- M17 (1.61%), N1-LLY22G (5.76%), Q-M242 (0.69%). In combination with the data from Lhasa that released in 2019, our Y chromosome data of Tibetans from different locations on the Tibetan Plateau will be very helpful to understanding the paternal genetic structure of Tibetans. Moreover, the genetic history of Tibetans can also be dissected by phylogeographic and coalescent analyses.
KONG Qingpeng QI Xuebin