To explore inorganic hydrochemical characteristics of the upper Yarlung Zangbo River, water samples were collected from the main stream and different tributaries in this region in August 2020. The water was collected with 100mL polyethylene (PE) plastic bottle, and the basic physical and chemical parameters such as pH value (±0.2) and dissolved oxygen (±1%) of the sampling site were measured by multi -parameter water quality monitor (YSI-EX02,USA).,and HCO3- concentration was titrated with 0.025mol/L HCl.The concentrations of Na+, K+, Ca2+, Mg2+, SO42-, NO3- and Cl- ions were analyzed and determined by ion chromatograph (Shenhan CIC-D160, China) in the laboratory. Using Gibbs model, correlation analysis and principal component analysis method, analyzed the one main ion concentration changes, chemical composition characteristics, analytical, and the ion source was designed to reveal inorganic water chemical characteristics of The Tibet plateau glacier melt water runoff, and for plateau typical river water and changing trend forecast provides the basis.
NIU Fengxia
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
The regional water environment data of typical mineral development projects include the water sample detection data set around the typical mineral development area of the super large gold belt in the Qilian Mountain metallogenic belt in the northeast of Qinghai Tibet Plateau (2019), and the sediment and soil sample detection data set around the typical mineral development area of the super large gold belt in the Qilian Mountain metallogenic belt in the northeast of Qinghai Tibet Plateau (2019). The first row of data is longitude and latitude and element name, the second row is element content unit, and the first column is sample point number. The data acquisition method is the water, sediment and soil samples collected in the relevant watersheds around Zaozigou gold mine, Dashui gold mine and Zhongqu tailings pond in Gannan Tibetan Autonomous Prefecture in August 2019. The water samples are detected and analyzed by ICAP sq inductively coupled plasma mass spectrometer and haiguang optical AFS-2202E atomic fluorescence spectrometer of American Thermal Power company, The soil and sediments are detected and analyzed by ieexrf fluorescence spectrometer, mainly analyzing the contents of major elements such as K, Ca and Na and trace elements such as Cr \ Ni \ Cu \ Zn. The data format is xlsx and the data quality is reliable. It can be used to evaluate the comprehensive effect of water environment in typical mineral development areas of super large gold belt in Qilian Mountain metallogenic belt in the northeast of Qinghai Tibet Plateau.
CHENG Hao
The study of chemical weathering is of great significance to understand how the plateau uplift regulates the mechanism of climate change and the circulation of elements and materials in the sphere. The data set is the seasonal major element concentration and stable isotope data of the river water at the hydrological station of the Yellow River Basin originating from the Qinghai Tibet Plateau. There are two hydrological stations in total: 1. Longmen hydrological station in the middle reaches of the Yellow River is the high-resolution (weekly) sample data collected in 2013, and the element concentrations include K, CA, Na, Mg, SO4, HCO3, Cl, etc. The cation data of collected water samples are tested on ICP-AES of Institute of earth environment, Chinese Academy of Sciences, and the anion data are tested on ion chromatograph (ics1200) of Nanjing Institute of geography and lakes, Chinese Academy of Sciences. The uncertainty is within 5%, and HCO3 is tested by titration. The high-resolution (weekly) Li isotope data of river water was tested in MC-ICP-MS of Institute of earth environment, Chinese Academy of Sciences in 2017, and the test accuracy 2sd is better than 5 ‰; 2. Tangnaihai hydrological station on the Yellow River is the river water (month by month) data set collected from July 2012 to June 2014. The major element concentrations include K, CA, Na, Mg, SO4, HCO3, Cl, etc., and the stable isotope data include s, O and H. The data set can be used to study the modern weathering process under the background of the uplift of the Qinghai Tibet Plateau, and provides the first-hand reliable data for the study of physical erosion and chemical weathering in the basin.
JIN Zhangdong, ZHAO Zhiqi
Lake salinity is an important parameter of lake water environment, an important embodiment of water resources, and an important part of climate change research. This data is based on the measured salinity data of lakes in the Qinghai Tibet Plateau. The salinity is characterized by the practical salinity unit (PSU), which is converted from the specific conductivity (SPC) measured by the conductivity sensor. ArcGIS software was used to convert the measured data into space vector format. SHP format, and the measured salinity spatial distribution data file was obtained. The data can be used as the basic data of lake environment, hydrology, water ecology, water resources and other related research reference.
ZHU Liping
This dataset provides the in-situ lake water parameters of 124 closed lakes with a total lake area of 24,570 km2, occupying 53% of the total lake area of the TP.These in-situ water quality parameters include water temperature, salinity, pH,chlorophyll-a concentration, blue-green algae (BGA) concentration, turbidity, dissolved oxygen (DO), fluorescent dissolved organic matter (fDOM), and water clarity of Secchi Depth (SD).
ZHU Liping
1) Data content: the data set mainly includes the typical water quality parameters of some lakes and river sections in Tibet (TN: total nitrogen; TN: total nitrogen); TP: total phosphorus; Cod: chemical oxygen demand; TOC: total organic carbon); 2) Data sources and processing methods: the water samples collected in the field are sealed, shaded, frozen and stored, and sent to the national heavy industry laboratory for indoor experimental analysis and detection within the effective time; 3) Data quality description: the water sample is sealed completely within the storage time, and the shading treatment is good, and the detection is completed by professional laboratory personnel within the effective time; 4) Results and prospects of data application: at present, there are few measured data about lakes in Tibet. Most of the lakes included in this data set are above 4000 meters above sea level. Therefore, this data set has great reference value for the future study of lake water quality in Tibet.
SONG Chunqiao
This data set contains total suspended particulate matter absorption AP; Algal particles absorb APH; Non pigment particles absorb ad. The total suspended particulate matter absorption data is the sum of organic and inorganic particulate matter absorption. The absorption of particles is measured by integrating sphere and calculated by projection and reflection method. The measurement range is 350-800 nm. The absorption value has been converted. The point data includes English code, Chinese specific corresponding lake name and longitude and latitude data. The above data has been repeatedly verified by scientific researchers, which is true, effective and highly available. It can be directly combined with remote sensing inversion of lake water color as Inversion Modeling and verification data set to calculate the long-term evolution law of lake water quality in Tibet.
ZHOU Yongqiang
From August to September in 2019, water samples of 24 lakes in selinco, Namco and their surrounding areas were collected for the second Qinghai Tibet scientific research. The chlorophyll (CHL, unit: ug / L), total nitrogen (TN, unit: mg / L), total phosphorus (TP, unit: mg / L), dissolved total nitrogen (DTN, unit: mg / L), dissolved total phosphorus (DTP, unit: mg / L), total phosphorus (TP, unit: mg / L), dissolved nitrogen (DTN, unit: mg / L) and dissolved phosphorus (DTP, unit: mg / L) were analyzed Nitrate nitrogen (NO3-N, mg / L), nitrite nitrogen (NO2-N, mg / L), ammonium nitrogen (NH4-N, mg / L) and phosphate (PO4-P, ug / L), total suspended particulates (TSS, mg / L), organic suspended particulates (OSS, mg / L), inorganic suspended particulates (ISS, mg / L), and so on, The unit is mg / L). At the same time, the name of the lake, the abbreviation of the lake and the longitude and latitude data of the point are provided, and the data format is xlsx. The data were analyzed by hand in the laboratory and verified repeatedly by scientific researchers.
ZHOU Yongqiang
In the summer of 2019, 22 lake water samples were collected in selinco area of Nam Co, Tibet. They were put into plastic bottles. Some samples were titrated on site by alkalinity kit to obtain the concentrations of CO32 - and HCO3 - ions. The rest samples were stored in the refrigerator. After they were brought back to the laboratory, the concentrations of main cations K +, Na +, Ca2 +, Mg2 + were measured by ICP-OES, The concentrations of HNO3 -, SO42 -, F - and Cl - were measured by anion chromatography. The results showed that the highest concentration of Ca2 + in 22 lakes was 34.8ppm in yueqiaco, and the lowest was 1.8ppm in zhangnaicuo, with an average of 11.9ppm. The highest K + ion concentration was 745.6ppm, the lowest was 1.0ppm, the average was 270.9ppm. The highest concentration of Mg2 + was 1632.8ppm in Jiangcuo, and the lowest was 2.5ppm in mudadaryuco, with an average of 180.1ppm. The highest concentration of Na1 + is 5446.0ppm of daze Cuo, and the lowest is 13.8ppm of Mu Cuo, with an average of 1675.3ppm. The highest F-ion concentration was 0.3 mmol / L, the lowest was 0.1 mmol / L, and the average was 0.1 mmol / L. The highest concentration of Cl - was 73.0 mmol / L, the lowest was 0.4 mmol / L, and the average was 19.0 mmol / L. The highest concentration of NO3 - was 0.2 mmol / L, the lowest was 0.1 mmol / L, and the average was 0.2 mmol / L. The highest concentration of S042 - was 219.3 mmol / L, the lowest was 0.1 mmol / L, and the average was 33.3 mmol / L. The highest concentration of CO32 - was 54.0 mmol / L, the lowest was 0.0 mmol / L, and the average was 15.5 mmol / L. The highest concentration of HCO3 - was 50.7 mmol / L, the lowest was 2.0 mmol / L, and the average was 21.1 mmol / L.
MENG Xianqiang
The dataset of water quality investigation in the urbanized area of Tibetan Plateau mainly includes the investigation data of water quality in the Huangshui River Basin and other key urban areas of Tibetan Plateau. The data were collected during July-August, 2020, by Hash DR900 water quality monitor. The datasets include the measured water quality of each reach of the Huangshui River, and the upstream and downstream of rivers that flow through major towns on the Tibetan Plateau. The main parameters include: total nitrogen, total phosphorus, ammonia nitrogen, chemical oxygen demand, dissolved oxygen content, pH, hardness, turbidity and chroma. To note, the chemical indexes (total nitrogen, total phosphorus, ammonia nitrogen, chemical oxygen demand) were determined in the laboratory after the scientific expedition, and the time interval between sample collection and water quality determination is too long to sustain the original content of ammonia nitrogen, thus the ammonia nitrogen of some water samples were not measured. In addition, due to the budget restriction, only water samples from the river outlet of towns on the plateau were allowed to measure the chemical indexes. Our dataset will support the study of optimizing the ecological security barrier system and validating ecohydrological models in the key urbanized areas of the Tibetan Plateau.
HE Chunyang, LIU Zhifeng, XIA Pei
Tibet Lalu Wetland National Nature Reserve, with a total area of 6.2 square kilometers and an average altitude of 3645 meters, is a typical wetland on the Qinghai Tibet Plateau, belonging to reed peat swamp. The data set includes the following water quality indicators: temperature, air pressure, dissolved oxygen, electrical conductivity, total soluble solids, pH, ORP, biochemical oxygen demand, chemical oxygen demand, total carbon content, total organic carbon content, total phosphorus content, available phosphorus content, total nitrogen content, The contents of ammonium nitrogen and nitrate nitrogen, etc; The data can be used in related scientific research such as soil quality evaluation of Lalu wetland.
YAN Zhongqing
This data set comes from the book "natural geography and natural resources in the Namjagbarwa peak area", which is directed by Ren Meie, edited by Peng Buzhuo and Yang Yichou, and directed by the Institute of geography, Chinese Academy of Sciences. This book is one of the "mountaineering scientific investigation series" of Namjagbarwa peak. It is a comprehensive summary of the natural geographical research on Namjagbarwa peak and the great bend in the lower reaches of the Yarlung Zangbo River, which is a blank area in science. Since the rivers in Nanfeng area are mostly turbulent, the evaporation and concentration effect is weak. In addition, in the humid Nanfeng area, the soil developed on gneiss is widely distributed, with strong leaching, poor soluble salt in the soil, and more acidic reaction. In order to analyze the contents of some anions and cations in natural water, some anions in different types of soils developed on gneiss parent materials at different altitudes in Nanfeng area were measured, and the results are listed in Table 3. The content and distribution of elements in the soil are not only affected by the parent material of soil formation, but also related to the properties of organic matter and physical and chemical composition in the soil. Now the content of elements and physical and chemical composition of some soils developed in this area are listed in Table 8. It can be seen from table 8 that some elements are related to physical and chemical compositions such as organic matter and particle size. Nanfeng area has abundant rainfall, large plant coverage, and enhanced biological and chemical effects. There is a clear relationship between the accumulation of soil organic matter and the formation of clay particles and its height, that is, the lower the altitude, the stronger the biological and chemical weathering. At the same time, compared with Mount Everest, chemical weathering is also enhanced, which is the main reason why the content of other elements in the soil in this area is close to that of the world except Na, Mg and K. The content of elements in soil is closely related to soil forming parent material and soil type. Now, the measured values of elements in main soil types and soil forming parent material are taken as the arithmetic mean, and the standard deviation is calculated, which is listed in Table 9. It can be seen from table 9 that there are certain differences in the content of elements in soils developed from different parent materials, and there are also considerable differences in the content of elements in different types of soils. It shows that the content of elements in soil is closely related to the parent material and soil type. This is mainly related to the chemical properties of the elements themselves and the geochemical properties of the elements in the process of soil formation. The atmospheric aerosol samples of No. camp, base camp and Pai District in Nanfeng area were analyzed by PI Xe method. The measured values are listed in table 10 to explore the laws of transportation, diffusion, transformation and enrichment, carry out the research on the atmospheric background value in the clean area as soon as possible, and track the source of pollutants. Organic chlorinated compounds such as DDT, 666, PCB, due to their stable properties, can be affected by various natural factors in the environment and migrate for a long distance. In order to understand whether Nanfeng area is also polluted by this kind of organic chlorinated compounds, we used trace analysis method for the first time to analyze the content of organic chlorinated compounds in water, soil, animals and plants and other samples, so as to understand the biological background of Nanfeng area (tables 11, 12, 13), The content of DDT and 666 in water, soil, some plants and poultry eggs in Nanfeng area is very low, generally only 10-8 order of magnitude. No abnormality was found in the content levels of other elements in human hair and cattle hair samples collected. The contents of inorganic substances in some biological samples from Nanfeng and Beijing are listed in table 14.
PENG Buzhuo, YANG Yichou
This data set comes from the book: glaciers in Hengduan Mountain area, which belongs to the series of scientific investigation in Hengduan Mountain Area of Qinghai Tibet Plateau. The chief editor is Li Jijun, the deputy chief editor is Su Zhen, and the guiding unit is Institute of geography, Chinese Academy of Sciences. The investigation team referred to in the book is the comprehensive investigation team of the Qinghai Tibet Plateau of the Chinese Academy of Sciences, and the publishing house is the Science Press. The data are collected from the table data and picture data in the sample collection and analysis of the book. This book is one of the series of scientific investigation in Hengduan Mountain Area of Qinghai Tibet Plateau. In this book, samples of glacier ice, snow, water and atmospheric precipitation are collected systematically, and chemical analysis of the collected samples is carried out by using different methods.
LI Jijun
The data set is measured by YSI exo2 water quality multi parameter measuring instrument on the Bank of middle lake of Ranwu lake from April to November every year from 2014 to 2020. The sampling interval is 0.25s-1s. The data is the average value after the instrument is stabilized. The sampling geographic coordinates are: longitude 96.795296, latitude 29.459066, altitude 3925m. The measurement parameters are water temperature, conductivity, dissolved oxygen and turbidity, and the specific parameter unit is indicated in the meter. Data culling part of the obvious outliers, the document is empty, please pay attention to the use. The data will be updated from time to time, and can be used by researchers of water chemistry, Lake microorganism or lake physical and chemical properties in Ranwu Lake Basin.
Luo Lun
The data set records the surface water quality assessment data set of the Yangtze River mainstream (2008.3-2020.6). The data are collected from Yushu ecological environment bureau. The data set contains 226 files, including: water quality assessment of surface water in June 2010, water quality assessment of surface water in July 2010, water quality assessment of surface water in August 2010, water quality assessment of surface water in August 2011, and water quality assessment of surface water in April 2012. Each data table has seven fields: Field 1: monitoring section Field 2: classification of water environment functional areas Field 3: water quality category Field 4: main pollution indicators Field 5: water quality status Field 6: water quality last month Field 7: water quality in the same period of last year
Department of Ecology and Environment of Qinghai Province
The data set records the water quality evaluation results of the monitoring sections of the Yangtze River, Yellow River and Huangshui (2010-2012). The data is collected from Yushu ecological environment bureau. The data set contains 18 files, which are: water quality assessment of national control section of Yangtze River in April 2010, water quality assessment of national control section of Yangtze River in May 2010, water quality assessment of national control section of Yangtze River in September 2010, water quality assessment of national control section of Yangtze River in October 2010, etc. the data table structure is the same. There are seven fields in each data table Field 1: monitoring section Field 2: classification of water environment functional areas Field 3: water quality category Field 4: main pollution indicators Field 5: water quality status Field 6: water quality last month Field 7: water quality in the same period of last year
Ecological Environment Bureau of Yushu Prefecture
The data set records the water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in 2016. Data statistics from the Department of natural resources of Qinghai Province, the data set contains 16 data tables, which are: water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the first quarter of 2016, water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the second quarter of 2016, water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the third quarter of 2016, and water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the fourth quarter of 2016 Water quality of drinking water sources In the second half of 2016, the water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province, the water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the second half of 2016, the water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the first quarter of 2017, and the water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the second quarter of 2017 The quality of drinking water sources, the quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the third quarter of 2017, the quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the fourth quarter of 2017, the quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the first quarter of 2018, the quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the second quarter of 2018, and the quality of centralized drinking water sources in Qinghai Province in the third quarter of 2018 Water quality of centralized drinking water sources in county-level cities and towns, water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the fourth quarter of 2018, water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the first quarter of 2020, water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the second quarter of 2020, and water quality of centralized drinking water sources in county-level cities and towns of Qinghai Province in the third quarter of 2020, The data table has the same structure. Each data table has six fields: Field 1: serial number Field 2: city name Field 3: water source name Field 4: water source type Field 5: compliance type
Department of Natural Resources of Qinghai Province
The data set records the information disclosure data (2018) of centralized drinking water quality monitoring and safety status in cities and towns at or above the county level in Xining city. The data statistics are from the Department of ecological environment of Qinghai Province, and the data set contains three documents, which are respectively: information disclosure form of centralized drinking water quality monitoring and safety status in cities and towns at or above the county level of Xining City in the first quarter of 2018, information disclosure form of centralized drinking water quality monitoring and safety status in cities and towns at or above the county level of Xining City in the second quarter of 2018, information disclosure form of centralized drinking water quality monitoring and safety status in cities and towns at or above the county level of Xining City in the second quarter of 2018 In the second half of 2018, the structure of the data sheet is the same. There are 10 fields in each data table Field 1: serial number Field 2: name of water source Field 3: water level Field 4: water source type Field 5: monitoring unit Field 6: number of monitoring indicators Field 7: monitoring frequency Field 8: evaluation criteria Field 9: pass rate Field 10: public period
Department of Ecology and Environment of Qinghai Province
The data set records the monthly water quality monitoring and evaluation data of Huangshui river monitoring section from January 2008 to June 2020. The data set consists of 146 Excel / PDF data files. They are water quality assessment.xls in January 2008, water quality assessment.xls in February 2008 Water quality assessment of national control section of Huangshui River in June 2020.xls. Data monitoring points include: Jintan and zhamalong section of Huangshui mainstream; Xiaoxia bridge section; Minhe bridge section. The detection indicators include: water environment function zoning category, water quality category, main pollution indicators, water quality status, water quality status in last month, and water quality status in the same period of last year. The data table has the same structure and contains 7 fields Field 1: section name Field 2: water environment function zoning category Field 3: water quality category Field 4: main pollution indicators Field 5: water quality status Field 6: water quality last month Field 7: water quality in the same period last year
Department of Ecology and Environment of Qinghai Province
The data set records the water quality of centralized drinking water sources in prefecture level cities of Qinghai Province from January 2016 to August 2020. The data is collected from the Department of natural resources of Qinghai Province. The data set contains 48 Excel data sheets, which are: water quality of centralized drinking water sources in prefecture level cities of Qinghai Province in January 2016, water quality of centralized drinking water sources in prefecture level cities of Qinghai Province in February 2016 In August 2020, the water quality of centralized drinking water sources in prefecture level cities of Qinghai Province has the same data table structure. There are six fields in each data table, such as the water quality of centralized drinking water sources in prefecture level cities of Qinghai Province in February 2016 Field 1: serial number Field 2: city name Field 3: water source name Field 4: water source type Field 5: compliance Field 6: over standard index and over standard multiple
Department of Natural Resources of Qinghai Province
The data set records the surface water quality assessment of the Yellow River in Qinghai Province, covering the period from January 2008 to June 2020. The data is collected from the official website of Qinghai Provincial Department of ecological environment. The data set contains 90 PDF files, 24 text files and 25 data table files. The data table structure is the same. The data monitoring points are Tangnaihai, Dahejia and Guanting Each data table has 7 fields: Field 1: section name Field 2: water environment function zoning category Field 3: water quality category Field 4: main pollution indicators Field 5: water quality status Field 6: water quality last month Field 7: water quality in the same period last year
Department of Ecology and Environment of Qinghai Province
The data includes the daily mean value of stable isotope δ18O in precipitation, the air temperature and precipitation amounts in Bomi in 2008; the precipitation samples are collected by Bomi meteorological station, and the stable isotope of precipitation is measured at the Laboratoire des Sciences du Climat et de l’Environnement, France., The δ18O amounts were measured by equilibration on a MAT-252 mass spectrometer, with an analytical precision of 0.05‰. The air temperatures and precipitation amounts were recorded for each precipitation events at Bomi meteorological stations, through the average of the observed temperature before and after the precipitation event, and through the total precipitation amount for each event. The data study has been published in the Journal of Climate, entitled Precipitation Water Stable Isotopes in the South Tibetan Plateau: Observations and Modeling.
GAO Jing
The data set is the daily precipitation stable isotope data (δ 18O, δ D, d-excess) from Satkhira, Barisal and sylhet3 stations in Bangladesh from 2017 to 2018. The data set was collected by Bangladesh Atomic Energy Commission (BAEC) and measured by picarro l2130i wavelength scanning cavity ring down spectrometer in the Key Laboratory of environment and surface processes, Institute of Qinghai Tibet Plateau, Chinese Academy of Sciences. Sampling location and time of three observation points: Satkhira ：2017.03.11-2018.07.16 Barisal：2017.03.05-2018.07.02 Sylhet : 2017.02.20-2018.09.04
GAO Jing
Precipitation stable isotopes (2H and 18O) are adequately understood on their climate controls in the Tibetan Plateau, especially the north of Himalayas via about 30 years’ studies. However, knowledge of controls on precipitation stable isotopes in Nepal (the south of Himalayas), is still far from sufficient. This study described the intra-seasonal and annual variations of precipitation stable isotopes at Kathmandu, Nepal from 10 May 2016 to 21 September 2018 and analysed the possible controls on precipitation stable isotopes. All samples are located in Kathmandu, the capital of Nepal (27 degrees north latitude, 85 degrees east longitude), with an average altitude of about 1400 m. Combined with the meteorological data from January 1, 2001 to September 21, 2018, the values of precipitation (P), temperature (T) and relative humidity (RH) are given.
GAO Jing
The data set contains the stable oxygen isotope data of ice core from 1864 to 2006. The ice core was obtained from Noijinkansang glacier in the south of Southern Tibetan Plateau, with a length of 55.1 meters. Oxygen isotopes were measured using a MAT-253 mass spectrometer (with an analytical precision of 0.05 ‰) at the Key Laboratory of CAS for Tibetan Environment and Land Surface Processes, China. Data collection location: Noijinkansang glacier (90.2 ° e, 29.04 ° n, altitude: 5950 m)
GAO Jing
This data set is the data set of Lake elements in Hoh Xil area of Qinghai Province, which records the main lake characteristics and water quality sampling and analysis data in detail. There are many lakes in Hoh Xil area of Qinghai Province, which is one of the concentrated distribution areas of lakes in Qinghai Tibet Plateau. The basic characteristics of Lake Development in this area are: large quantity, many types and complex structure. According to preliminary statistics, there are 107 lakes with an area of more than 1km2, with a total area of 3825km2 and a lake degree of about 0.05. The original data of the data set is digitized from the book "natural environment of Hoh Xil region in Qinghai Province", which includes 35 main lake characteristic data and 60 lake water chemical analysis data. This data set provides basic data for the study of Hoh Xil area in Qinghai Province, and has reference value for the research in related fields.
LI Bingyuan
The stable oxygen isotope ratio (δ 18O) in precipitation is a comprehensive tracer of global atmospheric processes. Since the 1990s, efforts have been made to study the isotopic composition of precipitation at more than 20 stations located on the TP of the Tibetan Plateau, which are located at the air mass intersection between westerlies and monsoons. In this paper, we establish a database of monthly precipitation δ 18O over the Tibetan Plateau and use different models to evaluate the climate control of precipitation δ 18O over TP. The spatiotemporal pattern of precipitation δ 18O and its relationship with temperature and precipitation reveal three different domains, which are respectively related to westerly wind (North TP), Indian monsoon (South TP) and their transition.
GAO Jing
In this study, major ions in water samples from the Lake Balkhash catchment were analyzed using an integration of mathematical statistics, Piper three-line map, Gibbs model and principal component analysis (PCA). Water types and main mechanisms controlling the hyrdochemistry presented a visible spatial heterogeneity. The chemical composition of lake waters was dominant with SO4-Na and Cl-Na, whereas river waters were classified as HCO3-Ca. The chemical composition downward the Ili River waters evolved from bicarbonate to sulfate and chlorination type. Gibbs model suggested that the main mechanisms control the lake water chemistry were evaporation-crystallization processes and major ions in river water were affected by the processes of rock-weathering and evaporation. The controlling factors in water chemistry changed from the upstream to downstream of the Ili River, which may be contributed to the lager impacts of precipitation and discharge of snow melting water on the upper waters, whereas more influence of evaporation on the lower waters. Furthermore, PCA analysis showed that human activities also play an important role in the chemical composition of lake water, middle and lower reaches of Ili River and other rivers.
WU Jinglu
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
This data includes the daily average water temperature data at different depths of Nam Co Lake in Tibet which is obtained through field monitoring. The data is continuously recorded by deploying the water quality multi-parameter sonde and temperature thermistors in the water with the resolution of 10 minutes and 2 hours, respectively, and the daily average water temperature is calculated based on the original observed data. The instruments and methods used are very mature and data processing is strictly controlled to ensure the authenticity and reliability of the data; the data has been used in the basic research of physical limnology such as the study of water thermal stratification, the study of lake-air heat balance, etc., and to validate the lake water temperature data derived from remote sensing and different lake models studies. The data can be used in physical limnology, hydrology, lake-air interaction, remote sensing data assimilation verification and lake model research.
WANG Junbo
In April 2014 and may 2016, 21 Lakes (7 non thermal lakes and 14 thermal lakes) were collected in the source area of the Yellow River (along the Yellow River) respectively. The abundance of hydrogen and oxygen allogens was measured by Delta V advantage dual inlet / hdevice system in inno tech Alberta laboratory in Victoria, Canada. The isotope abundance was expressed in the form of δ (‰) (relative to the average seawater abundance in Vienna) ）Test error: δ 18O: 0.1 ‰, δ D: 1 ‰. The data also includes Lake area and lake basin area extracted from Landsat 2017 image data in Google Earth engine.
WAN Chengwei
The data set is the multi parameter data of water samples collected from the Lake Aral Sea basin in 2019, which is used to obtain the basic physical and chemical index data of the lake and prepare for the subsequent modern observation and research of the lake. The data observation time is July 26, 2019. The measuring instrument is YSI EXO2 water quality multi parameter measuring instrument. Before each measurement, the instrument is calibrated according to the altitude of the lake and the local air pressure. The measurement interval is set as 1s, and the delivery speed is slow, so as to ensure the high continuity of data acquisition. The original data obtained includes the measurement data exposed in the air above the water surface, which is eliminated in the later processing. The data is stored in Excel file.
WU Jinglu
The concentration of major ions and their molar ratios are used to identify sources of the solutes and highlight their hydrochemical evolutions in surface waters. In order to analyze the spatial distribution characteristics and further explore the formation reason and environmental significance, major ions were measured in lake and river water samples collected in the Lake Balkash basin. Ca2+ and HCO3− were the dominant ions of river waters, and originated mainly from carbonate weathering. Lakes waters are of the Na-SO4 2− and Na-Cl- type, reflecting persistent, long-term evaporation under an arid climate.
WU Jinglu
This is the water quality multi-parameter data set of Ngangla Ringco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed dates from August 29, 2017 to August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.
WANG Junbo
This is the groundwater level observation data set of Selincuo Lake. It can be used in Climatology, Environmental Change, Hydrologic Process in cold regions and other disciplinary areas. The data is observed from June 20, 2017 to August 18, 2017. It is measured by automatic water gauge and a piece of data is recorded every 60 minutes. The data includes the water pressure and water temperature of the groundwater level observation point on the west bank of Selincuo Lake. The original data is precise, with the pressure accurate to 0.001kP and the water temperature 0.001℃. The original data forms a continuous time series after quality control. And the daily mean index data is obtained through calculation. The data is stored as an excel file.
ZHANG Yinsheng
Hydrochemistry and persistent organic pollutants in soils were analyzed in Issyk-Kul region from the western Tian Shan Mountains. As organchlorine pesticides (OCPs) may be an ecologic threat to mountain environments due to their tendency to deposit and accumulate in mountain regions undergoing long-range air transport, OCPs were analyzed in soils collected from an intermontane basin of the western Tian Shan Mountains, which is the UNESCO protected natural reserve of Issyk-Kul. Total OCP concentrations in the Issyk-Kul region ranged from 4.63 to 414 ng/g dw, of which two extraordinary high OCP concentrations (414 ng/g dw and 213 ng/g dw, respectively) influenced by an abandoned dumping site and urban sewage, respectively, were found. Principal component analysis (PCA) and correlation analysis inferred that the OCP inputs in the east of the Issyk-Kul region were mainly from local endogenous sources, and exogenous input via LRAT processes were prominent in the west and south. Additionally, the isomeric and parent substance/metabolite ratios revealed most pesticides accumulated in this region were from old usage, while DDTs had fresh input because of possibly illegal regional application and a slow degradation from the dumping site. Furthermore, ecological risk assessment revealed that no frequently adverse ecological effects were observed in the Issyk-Kul region, but potential risks on neighbouring organisms induced by p,p’-DDT and γ-HCH in dumping site and urban sewage should be considered when devising an efficient management plan to prevent secondary pollution.
WU Jinglu
This is the water quality data at depth of 2m, 15m, 18m, 28m, and 38m observed in Selincuo Lake from June to July, 2017. The data can be used in many fields, such as the physical and chemical properties of lakes and their climate response and lake environment changes.
WANG Junbo
This data set is the hydrogen and oxygen isotope ratio data of water samples collected in the Selincuo, Gayringco, and Co Ngoin Lake during the Water Source Study in 2017. The water sample collection time is from June 2017 to July 2017. It can be used in Lake Water Cycle, Lake Environmental Changes, Study of Isotopic Geochemistry and other disciplinary areas.
WANG Junbo
This is the water quality data of the vertical profile of the observation point in Gaacuo Lake. The data is observed on July1, 2017. The data is stored as an excel file.
HOU Juzhi
This is the water quality multi-parameter data set of Chakarejue Lake during the River and Lake Source Investigation in 2017.It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.
WANG Junbo
This is the water quality multi-parameter data set of Laangcuo Lake during the River and Lake Source Investigation in 2017. It can be used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on September 8, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25 s. To ensure the data is continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.
WANG Junbo
This is the water level observation data of Selincuo Lake. It can be used in Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 17, 2016 to February 15,2017. It is measured by automatic water gauge and a piece of data is recorded every 60 minutes. The data includes the water pressure and water temperature of the water level observation point on the east bank of Selincuo Lake.The original data is precise, with the pressure accurate to 0.001kP and the water temperature 0.001℃. The original data forms a continuous time series after quality control. And the daily mean index data is obtained through calculation. The data is stored as an excel file.
ZHANG Yinsheng
This is the water quality multi-parameter data set of Renqingxiubucuo Lake. It can be used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on September 1 2017. It was measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25 s. To ensure the data is continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.
WANG Junbo
This is the water quality multi-parameter data set of Mapam Yumco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed time is from September 4, 2017 to September 7, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.
WANG Junbo
This is the water quality data of the vertical profile of the observation point in Qixiangcuo Lake. There are two observation points. It is observed on July 4, 2017. The data is stored as an excel file.
HOU Juzhi
This data set is the the hydrogen and oxygen isotope ratio data of water samples collected in the Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes environment research. The water sample collection time is from August 2017 to September 2017. The sampling sites are Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo. The data is measured by the Environmental Laboratory of the Institute of Tibetan Plateau Research. The instrument used is the wavelength scanning cavity ring-down spectrometer made by the American Company Picarro. Each sample is measured twice and two data is obtained when measured. The average of the two data for the same indicator for each sample is used when analyzing. Test accuracy: (standard deviation, SD): δO18 ≤ 0.15 ‰, δD ≤ 1.0 ‰.
WANG Junbo
This data set contains the daily values of water temperature and water level change in Ranwu Lake in Tibet from May 15, 2009, to December 31, 2016. Observation instrument model: an automatic HOBO water level and temperature logger U20-001-01; acquisition time: 30 minutes. The data were collected automatically. The observations and data collection were performed in strict accordance with the instrument operating specifications, and the data have been published in relevant academic journals. Data with obvious errors were removed, and the missing data were replaced by null values. Data collection location: Ranwu Lake, southeast Tibet Middle lake outlet: longitude: 96°46'16"; latitude: 29°29'28"; elevation: 3928 m. Lower Lake outlet: longitude: 96°38'52"; latitude: 29°28'52"; elevation: 3923 m. Laigu upper Lake: longitude: 94°49'49"; latitude: 29°18'07"; elevation: 4025 m. This data contains fileds as follows: Field 1: Site Number Data type: Alphanumeric characters (50) Field 2: Time Data type: Date type Field 3: Water temperature, °C Data type: Double-precision floating-point format Field 4: Relative water level, cm Data type: Double-precision floating-point format
Luo Lun
This is the water quality data of the vertical profile of the observation point in Jiangcuo Lake. There are two observation points. It is observed on July 10, 2017. The data is stored as an excel file.
HOU Juzhi
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