Evidence map›Paper›PMID 35060050›Full record

ArticleEnvironmental science and pollution research international2022

Assessment of heavy metals in surface water, sediment and macrozoobenthos in inland rivers: a case study of the Heihe River, Northwest China.

Yu Wang, Bao-Long Li, Jia-le Zhu, Qi Feng, Wei Liu, Yu-Hua He, Xu Wang

Abstract read
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In one paragraph

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 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

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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

2 citing papers in PubMed.

  1. Article
  2. Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils.International journal of environmental research and public health · 2023
    Article
4 · The record

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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.

Yu WangCollege of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050, China. wangyu-mike@163.com.ORCID http://orcid.org/0000-0001-5621-6052
Bao-Long LiCollege of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Jia-le ZhuCollege of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Qi FengKey Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
Wei LiuKey Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
Yu-Hua HeCollege of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Xu WangCollege of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.

Funding

Industrial Support Plan Project of Gansu Educational Committee 2021CYZC-33National Natural Science Foundation of China 41771252National Natural Science Foundation of China 52169015Qilian Mountains Eco-environment Research Center in Gansu Province QLS202006
6 · The paper itself

Abstract

Long-term retention and accumulation of heavy metals in surface water and sediment pose a great threat to the sustainable development of aquatic ecosystems and human health. In this research, macrozoobenthos, and surface water and sediment heavy metal (Mn, Cr, Cu, Ni, Pb, Zn, Cd, and As) samples were collected from 23 sites in the upper and middle reaches of the Heihe River in the summers of 2019-2020. The interrelationships between heavy metals and macrozoobenthos were analyzed by Pearson correlation analysis and redundancy analysis (RDA), and the contamination level and potential ecological risk of the heavy metals in surface water and sediments were assessed by comprehensive pollution index (WQI), single potential ecological risk index ([Formula: see text]), and sediment quality guideline-quotient (SQG-Q), respectively. The results showed that the level of heavy metal pollution in the surface water of the Heihe River was extremely low, but the contents of Mn and Pb exceeded the third class of surface water environmental quality standards (GB 3838-2002). The spatial distribution of heavy metals in surface sediments were significantly different, and the average concentration of 8 heavy metals exceeded the background values of Gansu Province. Meanwhile, the pollution level of heavy metals in surface sediments was high pollution, and the ecological risk level was moderate risk. Combining [Formula: see text] and SQG-Q evaluations showed that Cd, Ni, and Cr were the main ecological risk factors. In addition, the distribution coefficients of Cr and Cd were low, indicating that Cr and Cd were easily released from the surface sediments, causing secondary pollution. In terms of the source of the heavy metals, Cu, As, Zn, Cr, and Ni mainly came from industrial and agricultural wastewaters, Pb was from the mining industry and natural sources, and Mn and Cd mainly came from tailings and their landfill leachate. Basommatophora and Araneae can be used as potential indicator organisms for heavy metal pollution in surface water, and Basommatophora, Coleoptera, Hemiptera, and Araneae can be used as indicator species for heavy metal pollution in surface sediments. The study showed that macroinvertebrate community characteristics had a sensitive response to heavy metals in the surface waters and sediments of the Heihe River, which can be used to evaluate the pollution status of heavy metals in inland rivers.

Indexed as

Metals, HeavyWater Pollutants, ChemicalCadmiumChinaEcosystemEnvironmental MonitoringGeologic SedimentsHumansLeadRisk AssessmentWaterWater QualityCadmiumLeadMetals, HeavyWaterWater Pollutants, ChemicalCorrelation analysisHeavy metalsInland river basinMacrozoobenthosPotential ecological riskSediment quality guideline-quotient

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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.