Evidence map›Paper›PMID 38227107›Full record

ArticleEnvironmental geochemistry and health2024

Risk assessment and source identification of soil heavy metals: a case study of farmland soil along a river in the southeast of a mining area in Southwest China.

Huajian Chi, Xin Liu, Xiaofang Yang, Rui Zhang, Ting Xia, Yiping Sun, Kan Hu, Fangfang Hao, Yong Liu, Shengchun Yang and 2 more

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2024. 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
2.4field-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

3 citing papers in PubMed, 18 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Huajian ChiCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Xin LiuCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Xiaofang YangCollege of Chemistry, Sichuan University, Chengdu, 610064, Sichuan, China.
Rui ZhangCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Ting XiaCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Yiping SunCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Kan HuCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Fangfang HaoCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Yong LiuCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Shengchun YangCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Qingwen DengCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China.
Xiaodong WenCollege of Pharmacy, Dali University, Dali, 671000, Yunnan, China. wenxiaodong@dali.edu.cn.
Dali University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the heavy metals (HMs) contamination of surface farmland soil along the river in the southeast of a mining area in southwest China and identify the contamination sources, 54 topsoil samples were collected and the concentrations of seven elements (Zn, Ni, Pb, Cu, Hg, Cr, and Co) were determined by inductively coupled plasma optical emission spectrometry (ICP-OES) and atomic fluorescence spectrometry (AFS). The geo-accumulation index ([Formula: see text]) and comprehensive potential ecological risk index ([Formula: see text]) were used for analysis to determine the pollution degree of HMs and the risk level of the study area. Meanwhile, the Positive Matrix Factorization (PMF) model was combined with a variety of statistical methods to determine the sources of HMs. To explore the influence of the river flowing through the mining area on the concentrations of HMs in the farmland soil, 15 water samples were collected and the concentrations of the above seven elements were determined. The results showed that the concentrations of Pb, Cu, and Zn in soil all exceeded the risk screening value, and Pb in soil of some sampling sites exceeded control value of "Agricultural Land Soil Pollution Risk Control Standard".[Formula: see text] showed that Pb was heavily contaminated, while Cu and Zn were moderately contaminated. RI showed that the study area was at moderate risk. PMF and various statistical methods showed that the main source of HMs was the industrial source. In the short term, the river flowing through the mine has no significant influence on the concentration of HMs in the soil. The results provide a reference for the local government to control contamination and identify the sources of HMs.

Indexed as

Metals, HeavySoilChinaFarmsLeadRisk AssessmentRiversLeadMetals, HeavySoilContamination assessmentFarmland soilHeavy metalsPositive matrix factorizationSource identification

Identifiers

PMID38227107
OpenAlexW4390914528

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.