Dataset of heavy metals and nutrients in surface sediment of the Qingchuan Gan section of the upper reaches of the Yellow River

English name

CSTR

CSTR:11738.11.NCDC.WATER-ECO.DB6434.2024

DOI

10.12072/ncdc.water-eco.db6434.2024

Share type

Open Access

Category

Ecology

contributors

DING Houkuan , ZHAO Jiannan , WEI Ying , LI Cong , YUAN Huatao , ZHANG Jingxiao , GAO Xiaofei , DONG Jing , SONG Dongying , GAO Yunni , LI Xuejun

Datasets description

Base information

collect time	2020/09/01 - 2020/10/31
collect place	Yellow River, White River, Black River, Tao River, Huangshui
altitude	1565.0m - 4353.0m
data size	24.3 KiB
Data time resolution	month

Data source description

All samples in this dataset were collected outdoors and tested for various indicators after freeze-drying.

1) The arsenic content in the digestion solution was determined by using an atomic fluorescence spectrophotometer (BAF-2000)

2) Using atomic fluorescence spectrophotometer (BAF-2000) to determine the mercury content in the digestion solution

3) Using inductively coupled plasma mass spectrometry (XSERIES 2) to determine the content of nickel, copper, zinc, cadmium, lead, and chromium in the digestion solution

4) The total phosphorus content in the digestion solution was determined by alkali melting molybdenum antimony impedance spectrophotometry; Determine the total nitrogen content using potassium dichromate sulfuric acid digestion method

5) Determine the content of total carbon and available phosphorus using acid-base titration method; Measure the total sulfur content using volume extraction method; Organic carbon was determined by potassium dichromate oxidation spectrophotometry.

Data processing method

The signal intensity or absorbance of the digest of each element was measured by different analytical detection methods, and the content value was brought into the standard curve.

Data quality description

In order to ensure the reliability of the analysis results, the agents used in the experiment were all high-grade pure, and the blank control was used for the test samples with reference to the national standard soil samples GBW07408a (GSS-8a), and the whole process of quality control was carried out. The analysis methods, detection limits, accuracy and precision of each index are in line with the requirements of relevant specifications.

Project information

#	number	name	type
1	232102320250	the Proiect of Yellow RiverFisheries Resources and Environment Investigation from the MARA, P. R. China.	Henan Provincial Science and Technology Research Project
2	无		Ministry of Agriculture and Rural Affairs

Citations and annotations

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For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference

DING Houkuan, ZHAO Jiannan, WEI Ying, LI Cong, YUAN Huatao, ZHANG Jingxiao, GAO Xiaofei, DONG Jing, SONG Dongying, GAO Yunni, LI Xuejun. Dataset of heavy metals and nutrients in surface sediment of the Qingchuan Gan section of the upper reaches of the Yellow River. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.11.NCDC.WATER-ECO.DB6434.2024.
DING Houkuan, ZHAO Jiannan, WEI Ying, LI Cong, YUAN Huatao, ZHANG Jingxiao, GAO Xiaofei, DONG Jing, SONG Dongying, GAO Yunni, LI Xuejun. Dataset of heavy metals and nutrients in surface sediment of the Qingchuan Gan section of the upper reaches of the Yellow River. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.12072/ncdc.water-eco.db6434.2024.

EndnoteEN BibtexEN RISEN

Papers to be cited

李聪, 王振斌, 高云霓, 李学军, 张景晓, 董静, 张曼, 高肖飞, 李玫. 黄河上游青川甘段表层沉积物重金属分布特征及风险评价[J]. 水生态学杂志, 2024, 45, (02): 63-72.

Reference format： Endnote Bibtex RIS

license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

#	Dataset title
1	Temporal and spatial distribution data set of heavy metals, isotopes, and water chemistry in soil and surface water in Muli Kuangqu mining area (2023-2024)
2	Photos of Qilianshan Lake Sediment and Topsoil Sampling Record (2020)
3	Digital elevation model of SRTM in the Yellow River Upstream
4	1: 1 million soil types map of the Yellow River Upstream
5	Boundary map of the upper Yellow River basin
6	Vector image of the upper Yellow River
7	Long-term lead and mercury concentrations and isotopes dataset for the Arctic environmental media samples from 1968 to 2025
8	Surface Water Dataset of the Upper Yellow River from 1999 to 2023
9	1:1 million soil database of the upper reaches of the Yellow River in 1995
10	1:100,000 land use data in the upper reaches of the Yellow River in 2000

#	title	file size
1	黄河上游青川甘段沉积物重金属营养盐数据实体.xlsx	24.3 KiB

#	category	title	author	year
1	paper	Distribution characteristics and risk assessment of heavy metals in surface sediments of the Qingchuan Gansu section of the upper reaches of the Yellow River	Li Mei	2024
2	paper	Distribution and pollution risk assessment of heavy metals and nutrients in surface sediments of major lakes and reservoirs along the Yellow River and the upstream Qingchuan Gansu section	Li Cong	2023