2026-10-12T17:19:08Z https://www.scidb.cn/oai

10.57760/sciencedb.31987 2026-05-11T17:38:37Z

2026-05-11 Dataset of Winter Water Supply and Resource Input Monitoring for the Lithium-Rich Zabuye Salt Lake, Xizang doi:10.57760/sciencedb.31987 en This data set records the measured data of winter water volume and resource input monitoring for 11 main recharge rivers of Xizang Zabuye Fuli Salt Lake in November 2025. The monitoring area is located in Zhongba County, Xizang Autonomous Region, with geographical coordinates between 31 ° 27'N-31 ° 34'N and 83 ° 57'E-84 ° 15'E, and the lake elevation is about 4422m. The data collection period is concentrated from November 1st to November 2nd, 2025, representing the typical hydrological characteristics of the winter dry season in the region. The generation of the dataset combines high-precision physical measurements with laboratory chemical analysis. The physical measurement adopts synchronous comparison method, using equipment including FlowTracker2 handheld acoustic Doppler current meter (ADV) and traditional hydrological testing buoy. The flow meter measurement adopts the "0.6 method", which measures the point flow velocity at 0.6 times the depth of the vertical line to characterize the average flow velocity of the vertical line. The spacing between sections varies from 20cm to 50cm depending on the river channel conditions; The buoy rule estimates surface flow velocity by measuring the time it takes for the buoy to pass through a 3-meter or 5-meter fixed length river section; The chemical analysis data of water samples were provided by the Institute of Mineral Resources, Chinese Academy of Geological Sciences. The main elements such as lithium (Li) and boron (B) were determined by inductively coupled plasma emission spectroscopy (ICP-OES), and trace elements such as rubidium (Rb) and cesium (Cs) were determined by inductively coupled plasma mass spectrometry (ICP-MS). The dataset is composed of. xlx. tables and contains 40 sets of core data, including flow rate, flow velocity, hydrochemical composition, and classification correction factors. The table records river names (such as Chabuye Island Spring Water Group, Luoju Zangbu, etc.), average river depth (m), river width (m), average flow velocity (m/s) and average flow rate (m3/s) measured by Doppler current meter, average flow velocity and flow rate measured by float method, and converted annual winter flow rate (107m3/a). In addition, the chemical analysis table provides a detailed list of the mass concentrations (mg/L) of Li, Rb, Cs and other elements at each sampling point. The accompanying. png file visually displays the three-dimensional flow velocity structure and resource element contribution rate distribution of each river section. To ensure data reliability, strict quality control measures were implemented during the collection process.During the measurement process of Doppler flowmeter, the signal-to-noise ratio (SNR) is controlled above 10dB, the standard deviation threshold is set at 0.01m/s, and the peak threshold is controlled within 10%. The hydrochemical analysis is validated using the Charge Balance Error Method (CBE) to ensure that the relative deviation of charge balance for all valid samples is less than or equal to 5%. Based on actual measurement data, this dataset proposes for the first time a classification flow correction coefficient for salt lake recharge rivers on the Qinghai Tibet Plateau: 0.62 for Quanji River and 0.97 for mountain rivers, providing a scientific benchmark for calibrating historical buoy method data. Due to extreme outdoor environments, this dataset currently only includes measured data from November, and lacks a comparison between the summer peak period and the spring snowmelt period. It is recommended to combine regional seasonal hydrological models for comprehensive evaluation when using it.  Zabuye; Acoustic Doppler Velocimeter; recharge rivers; differentiation coefficient; resource input Wei LI Chuanyong YE RESTRICTED dataset Science Data Bank