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
Data content: groundwater salinity data of Nukus irrigation area from January 2021 to December 2021, that is, the mass of soluble salts in unit volume of groundwater, unit: mg/l. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Results and prospects of data application: it can further identify and study hydrogeological conditions, especially the recharge, runoff and discharge conditions of groundwater, master the dynamic law of groundwater, and provide scientific basis for groundwater resource evaluation, scientific management and research and prevention of environmental geological problems.
LIU Tie
Data content: groundwater temperature data of Nukus irrigation area from January 2021 to December 2021, unit: 0.1 ℃. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Results and prospects of data application: combined with other meteorological and hydrological parameters, hydrogeological conditions, especially the recharge, runoff and discharge conditions of groundwater, can be further identified and studied to master the dynamic law of groundwater, so as to provide a scientific basis for the evaluation of groundwater resources, scientific management and the research and Prevention of environmental geological problems.
LIU Tie
Data content: groundwater depth data of Nukus irrigation area from January 2021 to December 2021, that is, the distance from the groundwater table to the surface, in M. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Data application achievements and prospects: it can be used to statistically analyze the variation characteristics of groundwater depth with time and space in the irrigation area, and analyze the impact of climate change and human activities on groundwater level in combination with other hydrometeorological parameters. It can also be used to analyze the interaction process between surface water and groundwater.
LIU Tie
From September 3 to September 9, 2020, groundwater and surface water were collected in the upper reaches of Nujiang River Basin (i.e. Naqu basin in Nujiang River source area), and the samples were immediately put into 100 ml high density polyethylene (HDPE) bottles. 18O and D are analyzed and tested by liquid water isotope analyzer (picarro l2140-i, USA), and the stable isotope ratio is expressed by the thousand difference relative to Vienna "standard average seawater" (VSMOW). δ 18O and δ The analysis error of D is ± 0.1 ‰ and ± 1 ‰ respectively. It provides basic data support for subsequent analysis of groundwater source analysis in Naqu basin.
LIU Yaping , CHEN Zhenghao
In order to explore the inorganic hydrochemical characteristics of Naqu basin, river water and groundwater were collected in Naqu basin in September 2020 and September 2021. Collect river water and groundwater with 550ml plastic bottles on site. The main anions and anions (ca2+, na+, mg2+, k+, so42- and cl-) are measured with an ion chromatograph (metrohm ecoic, Switzerland), with a measurement accuracy of 1 μ G/l. Bicarbonate (hco3-) is titrated with acid-base indicator and determined with 50ml acid burette. The purpose is to reveal the inorganic hydrochemical characteristics of water bodies in Naqu basin and provide data support for the analysis of groundwater recharge sources in Naqu basin.
LIU Yaping , CHEN Zhenghao
This dataset contains in-situ lake level observations at Lumajiangdong Co, Memar Co，Camelot Lake and Jieze Caka on the western Tibetan Plateau. The lake water level was monitored by HOBO water level logger (U20-001-01) or Solist water level logger, which was installed on the lake shore. Lake level data was then calibrated by using the barometer installed near the lake. Then the real water level changes were obtained. The accuracy was less than 0.5 cm. The items of this dataset are as follows: Daily lake level changes at Lumajiangdong Co from 2016 to 2021; Daily lake level changes at Memar Co from 2017 to 2019 and from 2020 to 2021; Daily lake level changes at Luotuo Lake from 2019 to 2020. Daily lake level changes at Jieze Caka Lake from 2019 to 2020. Water level, unit: m.
LEI Yanbin
This data is the seepage pressure monitoring data in the fracture area of Baige landslide in Jinsha River. The main purpose is to determine the impact of groundwater on Baige landslide. Four osmometers are arranged in combination with the site geological conditions. The field manual monitoring method is adopted, and the data is processed with Excel software. Combined with the analysis of rainfall monitoring data, the change process of groundwater level has little to do with rainfall. The measured values of the four osmometers are within ± 5kpa (0.5m water head). By 2020, the osmolality of the four boreholes will basically disappear. That is, there is little relationship between landslide and seepage pressure. Through the analysis of the data, the direct impact of groundwater on the instability of Baige landslide is excluded, which provides technical support for the stability evaluation and landslide treatment of Baige landslide.
CHEN Fei
The dataset of groundwater table in the middle and lower Heihe River Basin at the north of Qilian Mountains (2001-2015) is stimulated by the Hydrological-Ecological Integrated watershed Flow Model (HEIFLOW). HEIFLOW is a three-dimensional distributed eco-hydrological coupling model, integrating the Precipitation-Runoff Modeling System (PRMS) with the Modular Groundwater Flow Model (MODFLOW) and several ecological modules, which can completely describe the hydrological cycle and vegetation ecological process of the basin. For the modeling details of generating this data, please refer to Han et al. (2021), and for the technical details of HEIFLOW model, please refer to Han et al. (2021), Tian et al. (2018), and sun et al. (2018)
ZHENG Yi , HAN Feng , TIAN Yong
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
The data set records the dynamic statistical data of groundwater level in the monitoring area of Ping'an district (Ping'an County) of Xining city from 2014 to 2018. The data is collected from the Department of natural resources of Qinghai Province, and the data set contains five data tables, which are: the groundwater level dynamic of Haidong monitoring area in 2014, the groundwater level dynamic statistical table of Ping'an monitoring area in 2015, the groundwater level dynamic statistical table of Ping'an monitoring area in 2016, the groundwater level dynamic statistical table of Ping'an monitoring area in 2017, and the groundwater level dynamic statistical table of Ping'an monitoring area in 2018 Sketch Map. The data table has the same structure and contains four fields Field 1: year Field 2: n16 Field 3: n34 Field 4: N46
Department of Natural Resources of Qinghai Province
The data set records the statistical data of groundwater levels in Beichuan, Xichuan and Nanchuan of Xining City (2012-2018). The data is collected from the Department of natural resources of Qinghai Province. The data set contains 31 data tables, including the groundwater level of Nanchuan in Xining City in 2011, the groundwater level of Beichuan in Xining City in 2011, the groundwater level of Xichuan and xinachuan in Xining City in 2011, and the groundwater level of Beichuan in Xining City in 2012. The data are grouped by year, and the unit is meter (m). The data table has the same structure and contains five fields Field 1: year G9103: Field Field 3: G31 Field 4: G23 Field 5: G27
Department of Natural Resources of Qinghai Province
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 data set records the dynamic statistical data of groundwater level in the monitoring area around Qinghai Lake from 2014 to 2018. The data are collected from the Department of natural resources of Qinghai Province. The data set includes five data tables, which are: the dynamic diagram of groundwater level in the monitoring area around Qinghai Lake in 2014, the dynamic statistical table of groundwater level in the monitoring area around Qinghai Lake in 2015, the diagram of groundwater level in the monitoring area around Qinghai Lake in 2016, the diagram of groundwater level in the monitoring area around Qinghai Lake in 2017, and the diagram of groundwater level in the monitoring area around Qinghai Lake in 2017 The groundwater level monitoring data of the same area around Qinghai Lake in 18 years. The groundwater level dynamic diagram (water level dynamic statistical table) of the monitoring area around Qinghai Lake contains 8 fields Field 1: year Field 2: qing2 Field 3: qing3 Field 4: qing4 Field 5: qing6 Field 6: qing7 Field 7: qing8 Field 8: qing9
Department of Natural Resources of Qinghai Province
1. The data content is the monthly groundwater level data measured between the tail of chengdina River, Kuqa Weigan River and Kashgar river of Tarim River, which is required to be the water level data of 30 wells, but the number of wells in this data reaches 44; 2. The data is translated into CSV through hobo interpretation, and the single bit time-lapse value is found through MATLAB, and then extracted and calculated through Excel screening, that is, through the interpretation of original data, through the communication Out of date and daily data, calculated monthly data; 3. Data is measured data, 2 decimal places are reserved, unit is meter, data is accurate; 4. Data can be applied to scientific research and develop groundwater level data for local health.
CHEN Yaning, HAO Xingming
The data includes the runoff components of the main stream and four tributaries in the source area of the Yellow River. In 2014-2016, spring, summer and winter, based on the measurement of radon and tritium isotopic contents of river water samples from several permafrost regions in the source area of the Yellow River, and according to the mass conservation model and isotope balance model of river water flow, the runoff component analysis of river flow was carried out, and the proportion of groundwater supply and underground ice melt water in river runoff was preliminarily divided. The quality of the data calculated by the model is good, and the relative error is less than 20%. The data can provide help for the parameter calibration of future hydrological model and the simulation of hydrological runoff process.
WAN Chengwei
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
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 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
This set of data is the simulation result of the newly developed land eco-hydrological model CLM_LTF.This model is on top of the land-surface process model CLM4.5 developed by NCAR, coupling the groundwater lateral flow module and considering the role of human irrigation. The model runs from 1981 to 2013, with a spatial resolution of 30 arc seconds (0.0083 degrees), a time step of 1,800 seconds, and a simulation range of the heihe river basin.Air force in 1981-2012 is used by the Chinese academy of sciences institute of the qinghai-tibet plateau of qinghai-tibet plateau more layers of data assimilation and simulation center development areas of China high space-time resolution ground meteorological elements drive data set, air is forced to use 2013 national meteorological information center of wind pressure high resolution made by the wet precipitation temperature radiation data set.The land cover data is a 1km land cover grid data set for the MICLCover heihe river basin, and the irrigation data is shown in "monthly 30-arcsecond resolution surface water and groundwater irrigation data set for the heihe river basin 1981-2013" of the scientific data center for cold and dry regions.The mode output is the monthly average. The document is described as follows: Groundwater depth data: heihe_zwt.nc 2cm soil moisture data: heihe_h2osoi_2cm. nc 100cm soil moisture data: heihe_h2osoi_100cm.nc Evaporation data: Heihe_evaptanspiration. Nc The data is in netcdf format.There are three dimensions, which are month, lat, and lon. Where, month is a month, and the value is 0-395, representing each month from 1981 to 2013. Lat is grid latitude information, and lon is grid longitude information. The data is stored in the data variable. The underground water depth data is in m, the soil moisture data is in m^3/m^3, and the evapotranspiration data is in mm/month
XIE Zhenghui
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