Evidence map›Paper›PMID 33852116›Full record

ArticleEnvironmental science and pollution research international2021

Size distributions and health risks of particle-bound toxic elements in the southeast coastland of China.

Shui-Ping Wu, Xiang Li, Mei-Jun Cai, Yang Gao, Chao Xu, James J Schwab, Chung-Shin Yuan

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 at 3 institutions in 2 countries.

Shui-Ping WuFujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, China. wsp@xmu.edu.cn.ORCID http://orcid.org/0000-0003-2216-8907
Xiang LiCenter for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China.
Mei-Jun CaiCenter for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China.
Yang GaoCenter for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China.
Chao XuCenter for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China.
James J SchwabAtmospheric Sciences Research Center, University at Albany, SUNY, Albany, NY, 12203, USA.
Chung-Shin YuanInstitute of Environmental Engineering, Sun Yat-Sen University, Kaohsiung, 80424, China.
Xiamen University · CNSun Yat-sen University · CNUniversity at Albany, State University of New York · US

Funding

Ministry of Science and Technology of China 2016YFC0502901National Natural Science Foundation of China 41471390
6 · The paper itself

Abstract

Size-fractionated samples were collected at five coastal urban sites in Fujian Province, southeast China, in 2016 and 2017 to determine the trace elements using ICP-MS. Ca, Fe, Al, Mg, and K were the most abundant elements among the studied elements in TSP, much higher than those of heavy metals. The annual mean concentrations of Pb, As, V, Ni, Cd, and Mn were within the acceptable limits of the World Health Organization and the Ministry of Ecology and Environment of China while Cr(VI) exceeded the limits. Most elements exhibited clear seasonal patterns with maxima over the cold season and minima over the warm season. The spatial variabilities in concentrations of the measured elements were not significant except Ni and V. However, the size distribution pattern of each element was quite similar across the region. Characteristic size distributions of elements allowed identification of three main groups: (a) unimodal distribution in the coarse fraction for Ca, Al, Mg, and Ba; (b) unimodal distribution in the fine fraction for Pb, Se, As, Ag, V, Ni, Zn, and Cd; and (c) bimodal or multimodal distribution for Fe, Mn, Cr, K, and Cu. The combination of the size-fractionated concentrations, enrichment factors, correlation coefficients, and factor analysis offered the identification of mixed sources such as vehicular exhaust and wear, heavy fuel oil combustion, and resuspension of road dust. Non-carcinogenic health risks associated with inhalable exposure to airborne metals were higher than the safety threshold (hazard index > 1) across the region, suggesting non-carcinogenic health risks via inhalation. Mn, V, and Ni contributed 74-83% of the total non-carcinogenic risk. The assessment investigation of carcinogenic health risks revealed V and Cr(VI) as elements with the largest carcinogenic risks, accounting for more than 95% of the overall inhalation risk. Nevertheless, the carcinogenic risks for children and adults were between 10

Indexed as

Environmental MonitoringMetals, HeavyAdultChildChinaCitiesDustHumansRisk AssessmentDustMetals, HeavyCoastal urban air pollutionHealth risksHeavy metalsInhalation exposureSize distribution

Identifiers

PMID33852116
OpenAlexW3156640108

What OpenQuestion holds

Textmetadata
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.