Evidence map›Paper›PMID 39330611›Full record

ArticleToxics2024

Source Apportionment and Risk Assessment of Potentially Toxic Elements Based on PCA and PMF Model in Black Soil Area of Hailun City, Northeast China.

Zhiwei Yang, Junbo Yu, Ke Yang, Qipeng Zhang, Yangyang Chen, Shaozhong Qiao

Abstract read
In one paragraph

Article in Toxics, 2024. 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

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

6 citing papers in PubMed.

  1. Article
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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

6 authors.

Zhiwei YangHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.
Junbo YuHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.
Ke YangHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.ORCID 0009-0008-0061-3268
Qipeng ZhangHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.
Yangyang ChenHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.
Shaozhong QiaoHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin 150086, China.

Funding

China Geological Survey DD20242396, DD20240008, DD20211589, DD20230470
6 · The paper itself

Abstract

This study assessed the presence of potentially toxic elements (PTEs) in China's northeastern black soil belt, an area with limited prior research. We collected 304 soil samples (0-20 cm) from Gonghe Town, Hailun City, and analyzed the PTE contamination degree using the single-factor pollution index and Nemerow pollution index. The results demonstrated that the mean concentrations of arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn) were 11.16, 0.11, 65.29, 22.56, 0.03, 27.07, 26.09, and 66.01 mg/kg, respectively. Source apportionment was conducted via correlation analysis, principal component analysis, and positive matrix factorization, identifying four main sources: natural (33.2%), irrigation (29.5%), fuel (23.4%), and fertilizer (13.2%). The ecological risk index indicated a slight ecological risk, while the human health risk showed that non-carcinogenic risks were negligible and carcinogenic risks were acceptable. Our findings emphasize the need to prioritize controlling PTEs from fertilizer, particularly cadmium, and to a lesser extent, irrigation and fuel sources, focusing on As, Pband Hg. This research provides critical insights for policymakers aiming to manage PTE contamination in black soils.

Indexed as

black soilHailun Citynortheast ChinaPCAPMFpotentially toxic elementsrisk assessmentsource apportionment

Identifiers

PMID39330611
PMCPMC11436113

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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.