Evidence map›Paper›PMID 33847866›Full record

ArticleEnvironmental geochemistry and health2021

The health risk assessment of Heavy Metals (HMs) in road dust based on Monte Carlo simulation and bio-toxicity: a case study in Zhengzhou, China.

Huina Zhu, Xiaolong Liu, Chunhong Xu, Liangbo Zhang, Hanyu Chen, Fan Shi, Ying Li, Yongzhi Liu, Baozhong Zhang

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2021. 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.

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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

9 authors.

Huina ZhuCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China. zhnhnu@163.com.ORCID http://orcid.org/0000-0001-5811-6522
Xiaolong LiuCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Chunhong XuCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Liangbo ZhangCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Hanyu ChenCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Fan ShiCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Ying LiCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Yongzhi LiuCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China.
Baozhong ZhangCollege of Environmental Engineering, Henan University of Technology, Lianhua Street 100, Zhengzhou, 450001, China. zb-z01@163.com.

Funding

Innovative Funds Plan of Henan University of Technology 2020ZKCJ30National Natural Science Foundation of China U1704123National Natural Science Foundation of China U1704126Scientific Research Foundation project of Henan University of Technology 2016QNJH07
6 · The paper itself

Abstract

Heavy metals (HMs) in road dust pose a significant threat to human health. The analysis of human health risks of HMs is an important theoretical basis for risk screening and management. The chemical forms and characteristics of HMs in road dust were analyzed. Based on the bio-toxicity of the different fractions of the HMs and Monte Carlo, three assessment models, including the health risk assessment based on bio-toxicity, the health risk assessment based on the Monte Carlo simulation, and the health risk assessment based on the Monte Carlo simulation and bio-toxicity, were established. Under the Traditional Model, the non-carcinogenic risks were only harmful to children, while the carcinogenic risks were not harmful to adults and children. Under the M-Traditional Model, the probability of non-carcinogenic risks being harmful to children's health was 83.17%. The probability that carcinogenic risks pose a threat to children's health was 28.61%. Considering the bio-toxicity of HMs in different chemical forms, non-carcinogenic risks and carcinogenic risks under the B-Traditional Model were all less than the corresponding critical values, indicating that the HMs in the road dust did no harm to both the adults and children. Based on the MB-Traditional Model, the chance of non-carcinogenic risks being harmful to children's health is 15.43%. Among different HMs, the non-carcinogenic risks of As are highest and the carcinogenic risks of Cr were the highest, so As and Cr should be listed as priority control contamination. MB-Traditional Model established in this study simultaneously considered bio-toxicity and random simulation and obtained more accurate results, which could provide a theoretical basis for risk analysis and management.

Indexed as

DustMetals, HeavyAdultChildChinaEnvironmental MonitoringHumansMonte Carlo MethodRisk AssessmentDustMetals, HeavyBio-toxicityHealth riskHeavy metals (HMs)Monte CarloRoad dust

Identifiers

PMID33847866

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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.