Evidence map›Paper›PMID 38393575›Full record

ArticleEnvironmental science and pollution research international2024

Source and risk assessment of heavy metals in mining-affected areas in Jiangxi Province, China, based on Monte Carlo simulation.

Haijian Xie, Yanghui Shi, Liang Wang, Huaxiang Yan, Manting Ci, Ziheng Wang, Yun Chen

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2024. 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
2.3field-weighted citation impact, top 12% 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, 17 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 4 institutions in 1 country.

Haijian XieCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310027, China.
Yanghui ShiCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310027, China.
Liang WangThe Architectural Design and Research Institute of Zhejiang University Co., Ltd., 148 Tianmushan Road, Hangzhou, 310028, China.
Huaxiang YanZijin School of Geology and Mining, Fuzhou University, Fuzhou, Fujian, 350108, China. yanhuaxiang@zju.edu.cn.ORCID http://orcid.org/0000-0002-6377-8624
Manting CiCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310027, China.
Ziheng WangZijin School of Geology and Mining, Fuzhou University, Fuzhou, Fujian, 350108, China.
Yun ChenCenter for Balance Architecture, Zhejiang University, 148 Tianmushan Road, Hanghzou, 310007, China.
Zhejiang Province Institute of Architectural Design and Research · CNZhejiang University · CNFuzhou University · CNMinjiang University · CN

Funding

National Natural Science Foundation of China 41931289National Natural Science Foundation of China 41977223Natural Science Foundation of Zhejiang Province LR20E080002Pioneer and Leading Goose R&D Program of Zhejiang 2022C03051the National Key R & D Program of China 2018YFC1802303the National Key R & D Program of China 2019YFC1806005
6 · The paper itself

Abstract

In recent years, heavy metal contamination of soils has become a major concern in China due to the potential risks involved. To assess environmental pollution and human health risks in a typical heavy metal polluted site in Jiangxi Province, a thorough evaluation of the distribution, pollution levels, and sources of heavy metals in soils of the Yangmeijiang River watershed was conducted in this study. Positive matrix factorization and Monte Carlo simulation were used to evaluate the ecological and human health risks of heavy metals. The research findings indicate that heavy metal pollution was the most severe at the depth of 20-40 cm in soils, with local heavy metal pollution resulting from mining and sewage irrigation. The high-risk area accounted for 91.11% of the total area. However, the pollution level decreased with time due to sampling effects, rainfall, and control measures. Leaf-vegetables and rice were primarily polluted by Cd and Pb. The main four sources of heavy metals in soils were traffic emission, metal smelting, agricultural activities and natural sources, mining extraction, and electroplating industries. Heavy metals with the highest ecological risk and health risk are Cd and As, respectively. The non-carcinogenic and carcinogenic risks of children were 7.0 and 1.7 times higher than those of adults, respectively. Therefore, children are more likely to be influenced by heavy metals compared to adults. The results obtained by the risk assessments may contribute to the identification of specific sources of heavy metals (e.g., traffic emissions, metal smelting, mining excavation, and electroplating industries). Additionally, the environmental impacts and biotoxicity associated with various heavy metals (e.g., Cd and As) can also be reflected. These outcomes may serve as a scientific basis for the pollution monitoring and remediation in the mining-affected areas.

Indexed as

CadmiumMetals, HeavyAdultChildChinaHumansMonte Carlo MethodRisk AssessmentSoilCadmiumMetals, HeavySoilHeavy metalsMonte Carlo simulationPollutionPositive matrix factorizationRisk assessmentSoil

Identifiers

PMID38393575
OpenAlexW4392098558

What OpenQuestion holds

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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.