Evidence map›Paper›PMID 34241745›Full record

ArticleEnvironmental monitoring and assessment2021

Spatial distribution, risk assessment, and source identification of pollutants around gold tailings ponds: a case study in Pinggu District, Beijing, China.

Lin Fu, Zhongjian Zhang, Qiguo Zhang, Hao Zhang

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Lin FuDepartment of Civil Engineering, School of Engineering & Technology, China University of Geosciences (Beijing), Beijing, 100083, China.
Zhongjian ZhangDepartment of Civil Engineering, School of Engineering & Technology, China University of Geosciences (Beijing), Beijing, 100083, China. zhangzhongjian@cugb.edu.cn.ORCID http://orcid.org/0000-0002-5527-1006
Qiguo ZhangTianjin Municipal Administration Engineering Designing Institute, Tianjin, 300051, China.
Hao ZhangDepartment of Civil Engineering, School of Engineering & Technology, China University of Geosciences (Beijing), Beijing, 100083, China.

Funding

project of Beijing Tailings Ponds Investigation and Impact Assessment TC170855A
6 · The paper itself

Abstract

This work investigated heavy metal and cyanide pollution in surface soils and edible plants around Yanzhuang gold tailings ponds in the region of Yanzhuang Village in Pinggu District, Beijing. Surface soil samples were collected from 33 sites around gold tailings ponds, and concentrations of seven heavy metals (i.e., Sb, As, Cd, Cu, Pb, Zn, and Hg) and cyanide were analyzed to determine their spatial distributions, pollution degrees, and sources. The potential ecological risks of As, Cd, Cu, Pb, Zn, and Hg were preliminarily assessed. The results showed that the mean cyanide, Sb, As, Cd, Cu, and Pb concentrations were higher than the standard values. The pollutant concentrations around the tailings ponds were high and decreased with increasing distance from the ponds. The single pollution index indicated that cyanide, As, and Cd were the main pollutants. The Nemerow pollution index revealed a large region and serious degree of heavy metal pollution in soils. The potential ecological risk level of the study area was moderate, with Cd and As posing the main risks. Multivariate statistical analysis suggested that the heavy metal and cyanide pollution present mainly derived from gold tailings, with agricultural pollution also had a certain effect. However, the 12 edible plants sampled were basically not polluted.

Indexed as

Environmental PollutantsMetals, HeavySoil PollutantsBeijingChinaEnvironmental MonitoringGoldPondsRisk AssessmentSoilEnvironmental PollutantsGoldMetals, HeavySoilSoil PollutantsAssessmentCyanideGold tailings pondHeavy metalsPotential ecological riskSource identification

Identifiers

PMID34241745

What OpenQuestion holds

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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.