Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 309

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China

Sun, Lu, Guo, Dengkui, Liu, Ke, Meng, Hui, Zheng, Yuejun, Yuan, Fuqiang, Zhu, Ganghui·2019·CATENA

Abstract

Abstract The concentrations, bioavailability, distribution, and sources of heavy metals in soils of a typical region from coal industrial city of Tangshan, North China, were investigated. A total of 240 surface (0–20 cm) and sub-surface (20-40 cm) soil samples were collected and analyzed for the heavy metals of mercury (Hg), lead (Pb), cadmium (Cd), zinc (Zn), copper (Cu), chromium (Cr), arsenic (As), and nickel (Ni). The concentrations of these metals were lower than the national guideline values. However, accumulation of Zn, Pb, Cd, Hg, and Cu in the surface soils, and Zn, Cu, Cd, and Hg in the sub-surface soils was observed compared with their background values. The pollution indices of geo-accumulation (Igeo) and contamination factor (CF) showed that most soil samples were slightly to moderately polluted by Hg and Cd. Cd and Hg had the higher percentages (1.16–46.8%) in the water-soluble and exchangeable fractions and were considered potentially bioavailable and risky to the ecosystem. A combination of spatial analysis, principal component analysis (PCA), and positive matrix factorization (PMF) model was used to assess the sources of heavy metals. Anthropogenic sources contributed to 80.2% of the heavy metal concentrations in soils, indicating the great influence on soil heavy metal accumulation. Coal-related industrial activities, sewage irrigation and the application of agrochemicals, and vehicle emission were the possible anthropogenic sources of heavy metals.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.catena.2018.12.014

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 30 references

Cited by

See all 309

Metadata

Authors
Sun, L., Guo, D., Liu, K., Meng, H., Zheng, Y., Yuan, F., & Zhu, G.
Venue
CATENA
Publisher
Elsevier BV
Published
2019-04
Volume
175
Pages
101-109
ISSN
0341-8162 (ISSN-L)
OpenAlex
W2904894397
Cited by
309
References
30
FWCI
6.65
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China. https://app.cochat.ai/papers/10.1016/j.catena.2018.12.014
The paper
Sun, L., Guo, D., Liu, K., Meng, H., Zheng, Y., Yuan, F., & Zhu, G. (2019). Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China. CATENA. https://doi.org/10.1016/j.catena.2018.12.014

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.