Evidence map›Paper›PMID 35190909›Full record

ArticleEnvironmental monitoring and assessment2022

A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area.

Chang-Chen Huang, Li-Mei Cai, Yao-Hui Xu, Luo Jie, Lai-Guo Chen, Guo-Cheng Hu, Hui-Hao Jiang, Xu-Bang Xu, Jing-Xian Mei

Abstract read
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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 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.

Chang-Chen HuangKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, 430100, China.
Li-Mei CaiKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, 430100, China. clmktz88@yangtzeu.edu.cn.
Yao-Hui XuHubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
Luo JieHubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
Lai-Guo ChenMinistry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China. chenlaiguo@scies.org.
Guo-Cheng HuMinistry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China.
Hui-Hao JiangHubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
Xu-Bang XuHubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
Jing-Xian MeiHubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.

Funding

Ministry of Education of China No. K2021-14National Natural Science Foundation of China Project No. 41703108Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources Yangtze UniversityScience & Technology Project of Education Department, Hubei Province, China No. D20161301Training Program of Innovation and Entrepreneurship for Undergraduates of Yangtze University Yz2020380Training Program of Innovation and Entrepreneurship for Undergraduates of Yangtze University Yz2020385
6 · The paper itself

Abstract

Non-ferrous metal smelting activities have always been considered as one of the foremost anthropogenic sources of potentially toxic elements (PTEs). The enrichment factor (EF) and pollution load index (PLI) were used to evaluate the pollution level of soil PTEs; positive matrix factorization (PMF), correlation analysis, and geostatistics were utilized to quantify the sources of soil PTEs; and potential ecological risk (PER) and human health risk (HHR) of different sources from farmland, construction land, and natural land were quantifiably determined via combined PTE sources with PER and HHR assessment models. Taking the smelting area of Daye City as an example, the evaluation results of EF and PLI showed that the soil PTE pollution in the study area was serious, especially Cd and Cu. And four sources were quantitatively allocated as agricultural practices (12.14%), traffic emissions (23.07%), natural sources (33.46%), and industrial activities (31.33%). For PER, industrial activities were the largest contributor to PER, accounting for 55.66%, 56.30%, and 55.36% of farmland, construction land, and natural land, respectively, and Cd was the most dangerous element. In terms of HHR, industrial activities were also the cardinal contributors under the three land use types. Children were exposed to serious non-carcinogenic risks under three land use patterns and slight carcinogenic risk in construction land (1.06E - 04). Significantly, the carcinogenic risk of children in farmland (9.06 × 10

Indexed as

Metals, HeavySoil PollutantsAdultChildChinaEnvironmental MonitoringEnvironmental PollutionHumansRisk AssessmentSoilMetals, HeavySoilSoil PollutantsLand usePotentially toxic elementPriority sourceRisk quantificationSource assignation

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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.