Hydrochemical Dataset of the Northern Slope of the Tianshan Mountains (2023-2024)
WANG Peixuan1,2LI Danfeng*1,2RU Sibo3XIAO Feiyan4
1 Institute of Geographic Sciences and Natural Resources Research，Key Laboratory of Land Water Cycle and Surface Processes，Chinese Academy of Sciences，Beijing 100101，China2 College of Resources and Environment，University of Chinese Academy of Sciences，Beijing 101408，China3 College of Agriculture，Shihezi University，Shihezi 832003，Xinjiang，China4 School of Civil Engineering and Architecture，Shanxi University of Technology，Hanzhong 723001，Shanxi Province，China
DOI:10.3974/geodb.2026.04.04.V1
Published:Apr. 2026
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Key Words：
Northern slope of Tianshan Mountains,surface water,groundwater,hydrochemistry
Abstract：
Clarifying the hydrochemical characteristics and spatial distribution patterns of surface water and groundwater on the northern slope of the Tianshan Mountains is fundamental to revealing regional hydrogeochemical processes and ensuring water supply security. From June to August 2023 and in July 2024, the author team collected 196 surface water samples and 235 groundwater samples. In-situ hydrochemical parameters were measured using a portable multiparameter water quality monitor (Aquaread AP2000), while ion concentrations were determined via ion chromatography in the laboratory. A hydrochemical dataset of the northern slope of the Tianshan Mountains (2023-2024) was finally obtained. The dataset includes: (1) geo-location of the sample sites; (2) hydrochemical data of the surface water samples; (3) hydrochemical data of the groundwater samples. The hydrochemical data include pH, ORP, EC, TDS, and content of main ions. The dataset is archived in .shp and .xls formats, and consists of 9 data files with data size of 217 KB (compressed into one file with 67.3 KB).
Foundation Item：
Ministry of Science and Technology of P. R. China (2022xjkk0902)；
Data Citation：
WANG Peixuan, LI Danfeng*, RU Sibo, XIAO Feiyan. Hydrochemical Dataset of the Northern Slope of the Tianshan Mountains (2023-2024)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.04.04.V1.
Data Product:
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HydrochemicalDataNTianshan2023-2024.rar |
67.36KB |
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