Evidence map›Paper›PMID 36833857›Full record

ArticleInternational journal of environmental research and public health2023

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils.

Jie Yang, Yunlong Wang, Rui Zuo, Kunfeng Zhang, Chunxing Li, Quanwei Song, Xianyuan Du

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie YangState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Yunlong WangCollege of Water Sciences, Beijing Normal University, Beijing 100875, China.
Rui ZuoCollege of Water Sciences, Beijing Normal University, Beijing 100875, China.
Kunfeng ZhangState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Chunxing LiState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Quanwei SongState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Xianyuan DuState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potentially toxic element (PTE) contamination in soils has serious impacts on ecosystems. However, there is no consensus in the field of assessment and monitoring of contaminated sites in China. In this paper, a risk assessment and pollution monitoring method for PTEs was proposed and applied to a mining site containing As, Cd, Sb, Pb, Hg, Ni, Cr, V, Zn, Tl, and Cu. The comprehensive scoring method and analytical hierarchical process were used to screen the priority PTEs for monitoring. The potential ecological risk index method was used to calculate the risk index of monitoring point. The spatial distribution characteristics were determined using semi-variance analysis. The spatial distribution of PTEs was predicted using ordinary kriging (OK) and radial basis function (RBF). The results showed that the spatial distribution of As, Pd, and Cd are mainly influenced by natural factors, while Sb and RI are influenced by both natural and human factors. OK has higher spatial prediction accuracy for Sb and Pb, and RBF has higher prediction accuracy for As, Cd, and RI. The areas with high ecological risk and above are mainly distributed on both sides of the creek and road. The optimized long-term monitoring sites can achieve the monitoring of multiple PTEs.

Indexed as

Metals, HeavySoil PollutantsCadmiumChinaEcosystemEnvironmental MonitoringHumansLeadRisk AssessmentSoilCadmiumLeadMetals, HeavySoilSoil Pollutantsanalytical hierarchyordinary krigingpotential ecological risk indexpotentially toxic elementsradial basis functionrisk assessment

Identifiers

PMID36833857
PMCPMC9963655

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.