Evidence map›Paper›PMID 35329032›Full record

ArticleInternational journal of environmental research and public health2022

Pollution Assessment and Source Apportionment of Soil Heavy Metals in a Coastal Industrial City, Zhejiang, Southeastern China.

Shiyi Wang, Yanbin Zhang, Jieliang Cheng, Yi Li, Feng Li, Yan Li, Zhou Shi

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

7 authors.

Shiyi WangSchool of Public Affairs, Institute of Land Science and Property, Zhejiang University, Hangzhou 310058, China.
Yanbin ZhangZhejiang Land Consolidation and Rehabilitation Center, Hangzhou 310007, China.
Jieliang ChengZhejiang Cultivated Land Quality and Fertilizer Management Station, Hangzhou 310020, China.
Yi LiSchool of Public Affairs, Institute of Land Science and Property, Zhejiang University, Hangzhou 310058, China.
Feng LiCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310058, China.
Yan LiSchool of Public Affairs, Institute of Land Science and Property, Zhejiang University, Hangzhou 310058, China.
Zhou ShiKey Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-3914-5402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this research, Ningbo City, a typical industrial city in southeastern China, was selected as the study area, and the concentrations of 12 heavy metals (Cd, Cr, Ni, Pb, Zn, Cu, Hg, As, Co, V, Se, and Mn) were measured at 248 sampling points. Pollution index methods were used to assess the status of soil heavy metal contamination, and the Positive Matrix Factorization (PMF) model and Unmix model were integrated to identify and apportion the sources of heavy metal contamination. The results indicated that nearly 70% of the study area was polluted by heavy metals, and that Ni, Cr, and Zn were the main enriched heavy metals. The five sources identified using the PMF model were a geological source, an atmospheric deposition source, a transportation emissions source, a mixed source of agriculture and industry, and a mixed source of geology and industry. The four sources identified using the Unmix model were a mixed source of geology, agriculture, and industry (14.27%); a transportation emissions source (4.76%); a geological source (14.7%); and a mixed source of geology and industry (66.28%). These results have practical significance, as they can help to carry out pollution source risk assessment and give priority to the management of pollution source control.

Indexed as

Metals, HeavySoil PollutantsChinaEnvironmental MonitoringRisk AssessmentSoilVehicle EmissionsMetals, HeavySoilSoil PollutantsVehicle Emissionsindustrial citypollution assessmentsoil heavy metalssource apportionment

Identifiers

PMID35329032
PMCPMC8953316

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.