Evidence map›Paper›PMID 34608580›Full record

ArticleEnvironmental science and pollution research international2022

Distribution characteristics and potential pollution assessment of heavy metals (Cd, Pb, Zn) in reservoir sediments from a historical artisanal zinc smelting area in Southwest China.

Nanting Liu, Hongyan Liu, Pan Wu, Wei Meng, Xuexian Li, Xue Chen

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Ecological and Health Risk Assessments of Heavy Metals Contained in Sediments of Polish Dam Reservoirs.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nanting LiuCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Hongyan LiuCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Pan WuKey Laboratory of Karst Georesources and Environment, Ministry of Education, Guiyang, 550025, China.
Wei MengGuizhou Academy of Geological Survey, Guiyang, 550005, China.
Xuexian LiCollege of Agriculture, Guizhou University, Guiyang, 550025, China. 870992106@qq.com.
Xue ChenCollege of Agriculture, Guizhou University, Guiyang, 550025, China.

Funding

Scientific research project of Guizhou bureau of Geology and mineral exploration and development Qian Di Kuang Ke He [2014] 07the High-Level Talent Training Program in Guizhou [2016]5664the Key Program of Science and Technology of Guizhou Province, China Qian Ke He [2020]1Y186the National Natural Science Foundation of China, Project of Karst Scientific Research Centre of the People's Government of Guizhou Province U1612442
6 · The paper itself

Abstract

Reservoir sediment contamination with heavy metals produced by mining activities has aroused widespread global concern owing to its potential threat to human health. In this study, the total concentrations and speciation of heavy metals (Cd, Pb, Zn) in the Lexi (LX) and Maoshui (MS) reservoirs around the historical artisanal zinc smelting area in Southwest China were determined, and pollution indices were applied to assess the pollution levels and potential ecological risks of the two reservoirs. The results showed that all the detected samples in the two reservoirs presented significant metal accumulation, especially for Cd, as compared with the soil background values in Guizhou Province. Between the two reservoirs, the vertical distribution characteristics of each metal in sediment columns were similar. The heavy metal concentrations of the three columns in the LX reservoir reached their maxima at 35, 15, and 10 cm and showed a trend of first increasing and then decreasing overall. However, the heavy metal contents of the three columns in the MS reservoir all exhibited wave-like characteristics in the vertical direction, and all of them reached a relatively obvious high point at approximately 5 and 30 cm. The geoaccumulation index (I

Indexed as

CadmiumMetals, HeavyChinaEnvironmental MonitoringGeologic SedimentsHumansLeadRisk AssessmentZincCadmiumLeadMetals, HeavyZincDistribution characteristicsHeavy metalsRisk assessmentSediment coreZn smelting area

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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.