长江流域土壤重金属赋存的地理参考数据集

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Yifan Sun, Dongsheng Liu, Long Xie, Zheng Gao, Qi Zhang, Luqi Wang, Sen Li
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引用次数: 0

摘要

了解重金属污染的精细空间分布,对于有效控制污染区域的环境容量和针对性治理具有重要意义。本文介绍了长江流域土壤中常见重金属赋存的最新数据集。该数据集是通过回顾2000年至2020年间发表的同行评议文献编制的。采用了严格的质量控制程序,以确保数据的准确性,包括提取详细的地理位置和重金属浓度。数据集包括7867条长江流域土壤重金属含量记录(Zn: 1045, Cu: 1140, Pb: 1261, Cr: 980, Cd: 1242, Ni: 649, As: 821, Hg: 729),分布在省、地、县、乡或更小的4个尺度上。结果表明:北京市重金属浓度分布较为分散,在工农业发达的城市和地区浓度较高;Cd的超标率最高(33.90%),表明当地污染严重。在部分采样点,重金属Zn(11.96%)、Ni(12.63%)和as(9.74%)也超标。Cr的超标率最低,为1.33%。该数据集提供了长江流域土壤重金属污染现状的基本信息。它可用于进一步的生态和健康风险评估,并用于制定战略,以补救和防止该区域的重金属污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A georeferenced dataset of heavy metals occurrence in the soils of the Yangtze River Basin, China

A georeferenced dataset of heavy metals occurrence in the soils of the Yangtze River Basin, China

Understanding the fine-scale spatial distribution of heavy metal contamination is crucial for effective environmental capacity control and targeted treatment of polluted areas. This article presents the latest dataset on the occurrence of common heavy metals in the soils of the Yangtze River Basin. The dataset was compiled by reviewing peer-reviewed literature published between 2000 and 2020. Rigorous quality control procedures were employed to ensure the accuracy of the data, including the extraction of detailed geographic locations and concentrations of heavy metals. The dataset includes 7867 records of heavy metal occurrences (Zn: 1045, Cu: 1140, Pb: 1261, Cr: 980, Cd: 1242, Ni: 649, As: 821, Hg: 729) in the soils of the Yangtze River Basin, distributed at four scale levels: province, prefecture, county, and township or finer. The results indicate that the distribution of heavy metal concentrations is relatively scattered, with higher concentrations in cities and regions with developed industry and agriculture. Cd has the highest exceedance rate (33.90%), indicating significant local contamination. Heavy metals, such as Zn at 11.96%, Ni at 12.63%, and As at 9.74%, also exceeded standard levels at certain sampling points. Cr had the lowest exceedance rate of 1.33%. This updated dataset provides essential information on the current status of heavy metals contamination in the soils of the Yangtze River Basin. It can be used for further ecological and health risk assessments and for developing strategies to remediate and prevent heavy metal contamination in the region.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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