A dataset of water environment characteristics of typical small watersheds in the Guizhou karst region (2016–2022)

<p indent="0mm">Based on the long-term fixed-site monitoring of the physicochemical characteristics of groundwater and surface water in the Chenqi Basin by Puding Karst Ecosystem Research Station ( Puding Station), a dataset water environmental characteristics from 2016 to 2022 has been compiled. This dataset includes five monitoring sites within the Chenqi Basin: three underground wells (Wells No. 1, 3, and 5) in the central part of the small watershed, as well as the surface water outlets and groundwater outlets. Sampling was conducted quarterly in 2016 and monthly in all other years, with all sample collections consistently performed during the middle ten days of each month. The data includes 19 physicochemical indicators that reflect the water environment: water temperature, pH, calcium ions, magnesium ions, potassium ions, sodium ions, carbonate ions, bicarbonate ions, chloride, sulfate ions, phosphate ions, nitrate ions, mineralization, chemical oxygen demand, dissolved oxygen, total nitrogen, total phosphorus, conductivity, and dissolved organic carbon. The setup of monitoring points, water sampling process, laboratory analysis, and data analysis all follow the protocols and standards required by the Chinese Ecosystem Research Network (CERN) and the National Science and Technology Infrastructure, ensuring high and comparable data quality consistent with other CERN field stations. These data provide critical support for hydrological and geochemical studies of watersheds, elucidating natural dynamic changes and the impacts of anthropogenic activities. They facilitate comprehensive analyses of water quality, enable the tracing of pollution sources, advance the study of material transport, aid in the simulation of water resource trends, and monitor ecological health. Consequently, these datasets serve as a robust scientific foundation for the management and protection of watersheds.

Authors

Publication Details

Journal
China Scientific Data
Published
2025-12-01
DOI
https://doi.org/10.11922/11-6035.nesdc.2025.0016.zh
Primary Topic
Karst Systems and Hydrogeology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A dataset of water environment characteristics of typical small watersheds in the Guizhou karst region (2016–2022)

Le Cao, Xuguang TANG, Shijie WANG, Shaoqiang XU et al.
China Scientific Data
Karst Systems and Hydrogeology
article

A dataset of water environment characteristics of typical small watersheds in the Guizhou karst region (2016–2022)

Le Cao, Xuguang TANG, Shijie WANG, Shaoqiang XU, Lin Zhang, Tao PENG
article en

Abstract

<p indent="0mm">Based on the long-term fixed-site monitoring of the physicochemical characteristics of groundwater and surface water in the Chenqi Basin by Puding Karst Ecosystem Research Station ( Puding Station), a dataset water environmental characteristics from 2016 to 2022 has been compiled. This dataset includes five monitoring sites within the Chenqi Basin: three underground wells (Wells No. 1, 3, and 5) in the central part of the small watershed, as well as the surface water outlets and groundwater outlets. Sampling was conducted quarterly in 2016 and monthly in all other years, with all sample collections consistently performed during the middle ten days of each month. The data includes 19 physicochemical indicators that reflect the water environment: water temperature, pH, calcium ions, magnesium ions, potassium ions, sodium ions, carbonate ions, bicarbonate ions, chloride, sulfate ions, phosphate ions, nitrate ions, mineralization, chemical oxygen demand, dissolved oxygen, total nitrogen, total phosphorus, conductivity, and dissolved organic carbon. The setup of monitoring points, water sampling process, laboratory analysis, and data analysis all follow the protocols and standards required by the Chinese Ecosystem Research Network (CERN) and the National Science and Technology Infrastructure, ensuring high and comparable data quality consistent with other CERN field stations. These data provide critical support for hydrological and geochemical studies of watersheds, elucidating natural dynamic changes and the impacts of anthropogenic activities. They facilitate comprehensive analyses of water quality, enable the tracing of pollution sources, advance the study of material transport, aid in the simulation of water resource trends, and monitor ecological health. Consequently, these datasets serve as a robust scientific foundation for the management and protection of watersheds.

China Scientific Data
Chinese Academy of Sciences
Openalex Percentile: Top 31%
Karst Systems and Hydrogeology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A dataset of water environment characteristics of typical small watersheds in the Guizhou karst region (2016–2022) — Le Cao, Xuguang TANG, et al. · China Scientific Data (2025) | TGRS Research Map | TGRS