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.
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.
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.
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.
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.
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 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.
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.
This is the water quality data of the vertical profile of the observation point in Zigetangcuo Lake. The data is observed on July 8, 2017. The data is stored as an excel file.
HOU Juzhi HOU Juzhi
This data set includes the vertical profile water quality data from the observation point of Selincuo Lake. The data is observed on June 21, 2017 and June 22, 2017. The data is stored as an excel file.
HOU Juzhi HOU Juzhi
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.
This is the water quality data of the vertical profile of the observation point in Pusaiercuo Lake. The data is observed on July 2, 2017. The data is stored as an excel file.
This is the water quality data of the vertical profile of the observation point in Darucuo Lake. There are four observation points. The data is observed on June 27, June 28 and July 9, 2017. The data is stored as an excel file.
HOU Juzhi 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 ‰.
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.