The data set contains sequence data of the area composition of the water system basins in Tibet from 1988 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and the Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 4 fields. Field 1: Year Interpretation: Year of the data Field 2: Basin Field 3: Area Unit: Square kilometers Field 4: Proportion Unit: %
The near surface atmospheric forcing and surface state dataset of the Tibetan Plateau was yielded by WRF model, time range: 2000-2010, space range: 25-40 °N, 75-105 °E, time resolution: hourly, space resolution: 10 km, grid number: 150 * 300. There are 33 variables in total, including 11 near surface atmospheric variables: temperature at 2m height on the ground, specific humidity at 2m height on the ground, surface pressure, latitudinal component of 10m wind field on the ground, longitudinal component of 10m wind field on the ground, proportion of solid precipitation, cumulative cumulus convective precipitation, cumulative grid precipitation, downward shortwave radiation flux at the surface, downward length at the surface Wave radiation flux, cumulative potential evaporation. There are 19 surface state variables: soil temperature in each layer, soil moisture in each layer, liquid water content in each layer, heat flux of snow phase change, soil bottom temperature, surface runoff, underground runoff, vegetation proportion, surface heat flux, snow water equivalent, actual snow thickness, snow density, water in the canopy, surface temperature, albedo, background albedo, lower boundary Soil temperature, upward heat flux (sensible heat flux) at the surface and upward water flux (sensible heat flux) at the surface. There are three other variables: longitude, latitude and planetary boundary layer height.
In the lower reaches of Tarim River, groundwater is the only water source to maintain the survival of natural vegetation. The change of groundwater level directly affects the growth and decline of plants and controls the evolution and composition of plant communities. Strengthening the research on chemical characteristics of groundwater is an important content of water resources quality evaluation, which is of great significance to the utilization mode, sustainable development, management and protection and construction of ecological environment of watershed water resources. At fixed points and on a regular basis, 40 groundwater level monitoring wells in the lower reaches of the Tarim River were collected with groundwater samples, sealed and sent to the laboratory for chemical analysis. The analysis content includes 13 indexes including salinity, pH, CO3=, HCO3-, Cl-, SO4=, Ca++, Mg++, Na+, K+, etc. The analysis methods are as follows: (1) Salinity: gravimetric method; (2) Total alkalinity, HCO3- and CO3=: double indicator titration; (3) Cl-: silver nitrate titration; (4) SO4 =: EDTA volumetric method and barium chromate photometric method; (5) Total hardness: EDTA volumetric method; (6) Ca++, Mg++: EDTA volumetric method and atomic absorption spectrophotometry;
In the lower reaches of Tarim River, groundwater is the only water source to maintain the survival of natural vegetation. The change of groundwater level directly affects the growth and decline of plants and controls the evolution and composition of plant communities. Strengthening the research on chemical characteristics of groundwater is an important content of water resources quality evaluation, which is of great significance to the utilization mode, sustainable development, management and protection and construction of ecological environment of watershed water resources. Groundwater level data: In order to understand the change of groundwater level in the process of water conveyance in the lower reaches of the Tarim River, nine groundwater monitoring sections (Figure 1) have been established along the water conveyance channel of the lower reaches of the Tarim River-Qiwenkuoer River. Each section has a spacing of about 20 km. Below Daxi Haizi Reservoir, there are 9 sections such as Akdun (A), Yahefu Mahan (B), Yingsu (C), Abodah Le (D), Khaldayi (E), Tuguemaile (F) and Arakan (G), Yigan Buma (H) and Kaogan (1). Among them, the spacing of the last three sections is 45 km. In the horizontal direction, one underground water level monitoring well (well depth 8-17 m) is arranged at intervals of 100 m or 200 m in each section, and a total of 40 underground water monitoring wells are arranged to monitor the underground water level, water and salt dynamic changes and the influence range on the underground water level in each section during the water delivery process to the lower reaches of Tarim River. The monitoring frequency is once a month, and the monitoring frequency is increased during the water delivery process. Groundwater level data are monitored by conductivity method. Observation sections include: 1. Akerdun Section in Lower Reaches of Tarim River 2. Yahefu Mahan Section in Lower Reaches of Tarim River 3. Yingsu Section in Lower Reaches of Tarim River 4. Abodah-Le Section in Lower Reaches of Tarim River 5. Karadayi Section in Lower Reaches of Tarim River 6. Tuguemaile Section in Lower Reaches of Tarim River 7. Arakan Section in Lower Reaches of Tarim River 8. The lower reaches of Tarim River are not as good as the Ma section 9. Kaogan Section in Lower Reaches of Tarim River
The data format is word table, and the monitoring indexes include: Na +, K +, Mg2 +, Ca2 +, Sr2 + (ppb), Ba2 + (ppb), F -, Cl -, Br -, NO3 -, hpo42 -, SO42 -, HCO3 -. Sampling points include: zhangshandi well water, Maocun, Shanwan clastic rock CF1, langshiunderground River, Shanwan laolongshui, jilaigushuxia No.1 spring, jilaigushu2 spring, jilaigushu3 spring, jilaigushu, jilaigusho, etc.
1. Data Overview: This data includes groundwater buried depth observation datal from 4 observation points in Ganzhou District of Zhangye Basin in the middle reaches of the Heihe River (The nursery garden of Xindun Town, Suijia temple of Xindun Town, the Wuzhi management house of Dangzhai Town, Shangqin Station of Shangqin Town). The data was obtained from July 12, 2012 to July 5,2014. 2. Data Content: The HOBO water level sensor is installed in the underground well, which is mainly used to monitor the dynamic change of groundwater level in Ganzhou District of Zhangye. The data contents are absolute air pressure (kPa), temperature (°C), and groundwater depth (m). The data was recorded hourly. 3. Time and Space Range: The geographical coordinates of the nursery garden well of Xindun Town (1559 m) : Longitude 100°20.8′E; Latitude: 38°54′N; The geographical coordinates of Suijia temple well of Xindun Town(1518 m) : Longitude: 100°23.9′E; Latitude: 38°54.1′N; The geographical coordinates of Wuzhi management house well of Dangzhai Town (1675 m): Longitude: 100°30.7′E; Latitude: 38°52.8′N; The geographical coordinates of Shangqin Station well of Shangqin Town(1480 m): Longitude: 100°31.7′E; Latitude: 38°54.5′N. Note: The number in brackets is elevation.
Chinese Cryospheric Information System is a comprehensive information system for the management and analysis of cryospheric data over China. The establishment of Chinese Cryospheric Information System is to meet the needs of earth system science, and provide parameters and verification data for the development of response and feedback models of permafrost, glacier and snow cover to global changes under GIS framework. On the other hand, the system collates and rescues valuable cryospheric data to provide a scientific, efficient and safe management and analysis tool. Chinese Cryospheric Information System selected three regions with different spatial scales as its main research areas to highlight the research focus. The research area along the Qinghai-Tibet highway is mainly about 700 kilometers long from Xidatan to Naqu, and 20 to 30 kilometers wide on both sides of the highway. The datasets of the Tibetan highway contains the following types of data: 1. Cryosphere data.Including: snow depth distribution. 2. Natural environment and resources.Include: Digital elevation topography (DEM) : elevation elevation, elevation zoning, slope and slope direction; Fundamental geology: Quatgeo 3. Boreholes: drilling data of 200 boreholes along the qinghai-tibet highway. Engineering geological profile (CAD) : lithologic distribution, water content, grain fraction data, etc 4. Model of glacier mass equilibrium distribution along qinghai-tibet highway: prediction of frozen soil grid data. The graphic data along the qinghai-tibet highway includes 13 map scales of 1:250,000.The grid size is 100×100m. For details, please refer to the documents (in Chinese): "Chinese Cryospheric Information System design. Doc", "Chinese Cryospheric Information System data dictionary. Doc", "Database of the Tibetan highway. Doc".
Chinese Cryospheric Information System is a comprehensive information system for the management and analysis of Chinese Cryospheric data. The establishment of Chinese Cryospheric Information System is to meet the needs of earth system science, to provide parameters and validation data for the development of response and feedback model of frozen soil, glacier and snow cover to global change under GIS framework; on the other hand, it is to systemically sort out and rescue valuable cryospheric data, to provide a scientific, efficient and safe management and division for it Analysis tools. The basic datasets of the Tibet Plateau mainly takes the Tibetan Plateau as the research region, ranging from longitude 70 -- 105 ° east and latitude 20 -- 40 ° north, containing the following types of data: 1. Cryosphere data. Includes: Permafrost type (Frozengd), (Fromap); Snow depth distribution (Snowdpt) Quatgla (Quatgla) 2. Natural environment and resources. Includes: Terrain: elevation, elevation zoning, slope, slope direction (DEM); Hydrology: surface water (Stram_line), (Lake); Basic geology: Quatgeo, Hydrogeo; Surface properties: Vegetat; 4. Climate data: temperature, surface temperature, and precipitation. 3. Socio-economic resources (Stations) : distribution of meteorological Stations on the Tibetan Plateau and it surrounding areas. 4. Response model of plateau permafrost to global change (named "Fgmodel"): permafrost distribution data in 2009, 2049 and 2099 were projected. Please refer to the following documents (in Chinese): "Design of Chinese Cryospheric Information System.doc", "Datasheet of Chinese Cryospheric Information System.DOC", "Database of the Tibetan Plateau.DOC" and "Database of the Tibetan Plateau 2.DOC".
1、 Data Description: data includes doc and DIC values of outlet river water and groundwater in hulugou small watershed from July to September 2014. The sampling frequency is once every two weeks. 2、 Sampling location: (1) there are two river water sampling points. The first sampling point is located at the outlet flow weir of hulugou small watershed in the upper reaches of Heihe River, with the longitude and latitude of 99 ° 52 ′ 47.7 ″ E and 38 ° 16 ′ 11 ″ n. The second sampling point of the river is located at the outlet of hulugou area II at the upper reaches of Heihe River, with the longitude and latitude of 99 ° 52 ′ 58.40 ″ E and 38 ° 14 ′ 36.85 ″ n. (2) Underground water spring and well water sampling points. The spring sampling point is located at 20 m to the east of the drainage basin outlet, with the longitude and latitude of 99 ° 52 ′ 50.9 ″ E and 38 ° 16 ′ 11.44 ″ n. The well water sampling point is located near the intersection of the East and West Branch ditches, with the longitude and latitude of 99 ° 52 ′ 45.38 ″ E and 38 ° 15 ′ 21.27 ″ n. 3、 Test method: Doc and DIC values of samples were measured by oiaurora 1030w TOC instrument, detection range: 2ppb c-30000ppm C.
Through e-Sense / diver hydrological monitoring equipment and dynamic remote monitoring system, the hydrological monitoring data of key stations in Heihe River Basin in the three years from 2013 to 2015 in non freezing period are obtained, mainly including the temperature and water level of three groundwater (Qilian station, Linze station, Ejina station) and six river surface water (Yingluoxia station, Gaoya station, Zhengyixia station, shaomaying station, langxinshan station, Juyanhai station) According to the data, the time resolution is 1H.