Evidence map›Paper›PMID 35682077›Full record

ArticleInternational journal of environmental research and public health2022

Pollution Characteristics and Spatial Distribution of Heavy Metals in Coal-Bearing Sandstone Soil: A Case Study of Coal Mine Area in Southwest China.

Dongping Deng, Yong Wu, Yi Sun, Bangzheng Ren, Lei Song

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dongping DengCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.
Yong WuCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.
Yi SunSchool of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Bangzheng RenCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.
Lei SongCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil pollution in coal mining areas is a serious environmental problem in China and elsewhere. In this study, surface and vertical profile soil samples were collected from a coal mine area in Dazhu, Southwestern China. Microscopic observation, concentrations, chemical speciation, statistical analysis, spatial distribution, and risk assessment were used to assess heavy metal pollution. The results show that the weathering of coal-bearing sandstone and mining activities substantially contributed to soil pollution. The concentrations of Fe, Ni, Cu, Zn, Mn, Cd, Hg, and Pb exceeded their background values. Cd caused the most intense pollution and was associated with heavily-extremely contaminated soils. The residual fraction was dominant for most metals, except Cd and Mn, for which the reducible fraction was dominant (Cd: 55.17%; Mn: 81.16%). Zn, Ni, Cd, and Cu presented similar distribution patterns, and Hg and As also shared similar distribution characteristics. Factor 1 represented anthropogenic and lithologic sources, which were affected by mining activities; Factor 2 represented anthropogenic sources, e.g., fertilizers and traffic pollution; and Factor 3 represented the contribution of metals from soil-forming parent material. More than half of the study area had high pollution risk and was not suitable for vegetable cultivation.

Indexed as

Coal MiningMercuryMetals, HeavySoil PollutantsCadmiumChinaCoalEnvironmental MonitoringEnvironmental PollutionRisk AssessmentSoilCadmiumCoalMercuryMetals, HeavySoilSoil Pollutantscoal-bearing sandstoneheavy metal pollutionmultivariate statisticssoilspatial distribution

Identifiers

PMID35682077
PMCPMC9180046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.