1. Data overview: This data set is the groundwater level data of qilian station from January 1, 2012 to December 31, 2012.Well no. 1 is located at the side of the general controlled hydrologic section of the cucurbitou basin, with a depth of 12.8m and an aperture of 12cm.The second well is located to the east of the delta about 100m away from the river. The depth of the well is 14.7m and the aperture is 12cm. 2. Data content: U20-hobo water level sensor is installed in the underground well, which is mainly used to monitor the groundwater level changes in the small gourgou watershed. The data are daily scale data. 3. Space and time range: Geographical coordinates of well no. 1: longitude: longitude: 99° 53’e;Latitude: 38°16 'N;Elevation: 2974m (near the hydrological section at the outlet of the basin). Geographical coordinates of well no. 2: longitude: 99° 52’e;Latitude: 38°15 'N;Altitude: 3204.1m (east of the eastern branch of the delta).
HAN Chuntan
Automatic monitoring data of groundwater level depth and salinity of three shallow groundwater observation Wells in ejin delta. Data contents include: observation well number, geographical coordinates, description of surface features, buried depth of groundwater level (unit: cm), salinity (unit: mS/cm). In terms of space, the dynamic monitoring of water and salt is set up in desert gobi area, natural oasis area and artificial oasis area in ejin delta, representing three typical underlying surface conditions.Since May 12, 2011, the frequency of observation has been 30 minutes.
YU Jingjie
1、 Data Description: the data includes the observation data of groundwater level in the delta area of hulugou small watershed from July 24, 2014 to September 11, 2014, with the monitoring frequency of 1H / time. 2、 Sampling location: the groundwater level observation point is located at the top of the alluvial proluvial fan in front of the delta mountain, with the coordinates of 99 ° 52'45.38 "E, 38 ° 15'21.27" n.
MA Rui
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
CHEN Yaning, HAO Xingming
11 groundwater level observation logs are arranged in the transition zone from Heihe River to desert oasis in Pingchuan oasis, Linze. From May to July 2012-2013, the groundwater level is monitored three times a month, and the NO3-N content, Cl, SO42 - change are analyzed by sampling once a month.
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.
XIE Zhenghui
Since October 2010, underground water depth observation logging is set at 50m, 300m, 2200m, 2700m, 3200m, 3700m and 4300m away from the river bank in the direction of vertical river channel near ulantuge, Ejina oasis at the lower reaches of Heihe River. The dynamic measurement is carried out with hobo automatic water level gauge. The measurement index is the underground water level (burial depth), and the data time scale is the monthly scale.
CHEN Yaning
In this dataset samples were obtained from groundwater outcrop points and surface water points through the field hydrogeological survey of mabongshan, and the analysis data of deuterium - oxygen - 18 and tritium were obtained by sending them to the laboratory with relevant qualification. This dataset can obtain the isotopic information of groundwater and surface water in the research area of the project, and provide data reference for the water circulation law in the research area.
GUO Yonghai
It mainly includes the field soil moisture, groundwater level, soil physical properties, temperature, flux, plant growth, soil nutrients, trunk stem flow, farmland microclimate, soil profile water content and other observation data.
SHAO Mingan
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;
CHEN Yaning, HAO Xingming
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".
LI Xin
Data of field hydrogeological double-ring seepage test in 2012 in mamane mountain area, gansu province.The method adopted is the double ring method.Specific test process: fixed head water injection, observation record.According to the ring bottom ruler, keep the fixed head of water injection.Meanwhile, the injected water was observed according to the ruler on the injection plastic bucket, and the recorded time intervals were 5 minutes, 10 minutes, 20 minutes and 30 minutes respectively.Stable water seepage, that is, the completion of the experiment.The relevant permeability parameters are obtained according to darcy's law.
GUO Yonghai
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.
PAN Xiaoduo
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.
WANG Zengyin
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.
ZHENG Chunmiao
The data include the collection of elements and isotopes of river water and groundwater (including spring water) in hulugou small watershed of Heihe River. Sampling location: (1) There are two river water sampling points, one of which is located at the outlet weir of hulugou small watershed in the upper reaches of Heihe River, with longitude and latitude of 99 ° 52 ′ 47.7 ″ E and 38 ° 16 ′ 11 ″ n. The second sampling point is located at the outlet of hulugou area II in the upper reaches of Heihe River, with longitude and latitude of 99 ° 52 ′ 58.40 ″ E and 38 ° 14 ′ 36.85 ″ n. (2) The sampling points of groundwater spring and well water are located at 20m to the east of the drainage basin outlet, with 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 East and West Branch ditches, with longitude and latitude of 99 ° 52 ′ 45.38 ″ E and 38 ° 15 ′ 21.27 ″ n. Data Description: 1. Doc and DIC values of river water and groundwater at the outlet of hulugou small watershed from July to September 2014 were analyzed. The DOC and DIC values of the samples were tested by oiaurora 1030w TOC instrument, and the detection range was 2ppb c-30000ppm C. 2. From July to September 2014, the δ D and δ 18O values of precipitation, river water and groundwater in hulugou small watershed were measured by Picaro l2130-i ultra-high precision liquid water and water vapor isotope analyzer. The results were expressed by δ values relative to the international standard material v-smow, with the measurement accuracy of 0.038 ‰ and 0.011 ‰ respectively. 3. Doc values of river water and soil water at the outlet of hulugou small watershed from May to September 2013 were determined by analytikjena multi n / C 3100 total nitrogen and total carbon tester. 4. Doc and DIC values of river water and groundwater at the outlet of hulugou small watershed from July to September 2014 were measured by oiaurora 1030w TOC instrument, and the detection range was 2ppb c-30000ppm C.
MA Rui , CHANG Qixin
Arctic 1:100,000 stream data set includes Arctic_River vector space data and related attribute data of different grades within the arctic range: Name and Type. The data comes from the 1:100,000 ADC_WorldMap global data set, which is a comprehensive, up-to-date and seamless geographic digital data after the data quality inspection of topology, warehousing and other data. The world map coordinate system is latitude and longitude, WGS84 datum surface, and the arctic data set is the special projection parameter for the arctic (North_Pole_Stereographic).
ADC WorldMap
The data set records the statistical table of groundwater level dynamic changes in various monitoring areas of Qinghai Province from 2015 to 2018. The data are recorded from the Department of natural resources of Qinghai Province, and the data set contains four data tables, which are: the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2015, the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2016, the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2017, and the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2018 The data table has the same structure and contains 7 fields Field 1: "geographic location" Field 2: "basic balance area (km2)" Field 3: "percentage of monitoring area (%)" Field 4: "weak descent area (km2)" Field 5: "percentage (%) of monitored area" Field 6: "strong uplift area (km2)" Field 7: "percentage (%) of monitored area"
Department of Natural Resources of Qinghai Province
The dataset includs borehole core lithology, altitude survey, soil thickness and slop measurement, hydrogeological survey, and hydrogeophysical survey in the Maqu catchment of the Yellow River source region in the Tibetan Plateau. The borehole lithology data is from the 2017 drilled borehole ITC_ Maqu_ 1; altitude survey was carried out using RTK in 2019; Soil thickness and slope data were collected by auger and inclinometer in 2018 and 2019; hydrogeological survey includes groundwater table depth measurements in 2018 and 2019, and aquifer test data obtained in 2019; hydrogeological survey includes Magnetic Resonance Sounding (MRS) , Electrical Resistivity Tomography (ERT) , Transient Electromagnetic (TEM) , and magnetic susceptibility measurements. MRS and ERT surveys were conducted in 2018. TEM and magnetic susceptibility measurements were carried out in 2019.
LI Mengna, ZENG Yijian, Maciek W. LUBCZYNSKI, BOB Su, QIAN Hui
This product provides the data set of key variables of the water cycle of major Arctic rivers (North America: Mackenzie, Eurasia: Lena from 1971 to 2017, including 7 variables: precipitation, evapotranspiration, surface runoff, underground runoff, glacier runoff, snow water equivalent and three-layer soil humidity, which are numerically simulated by the land surface model vic-cas developed by the project team. The spatial resolution of the data set is 0.1degree and the temporal resolution is month. This data set can be used to analyze the change of water balance in the Arctic River Basin under long-term climate change, and can also be used to compare and verify remote sensing data products and the simulation results of other models.
ZHAO Qiudong, WANG Ninglian, WU Yuwei
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