Evidence map›Paper›PMID 36011761›Full record

ArticleInternational journal of environmental research and public health2022

Co-Effects of Hydrological Conditions and Industrial Activities on the Distribution of Heavy Metal Pollution in Taipu River, China.

Qinglu Yao, Ling Chen, Lingchen Mao, Yu Ma, Fengyan Tian, Ruijie Wang, Xiang-Zhou Meng, Feipeng Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Long-Term Changes in the Pollution of Warta River Bottom Sediments with Heavy Metals, Poland-Case Study.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. 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

8 authors.

Qinglu YaoCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Ling ChenCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Lingchen MaoSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yu MaCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Fengyan TianSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
Ruijie WangSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
Xiang-Zhou MengShanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
Feipeng LiSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Taipu River, after being transformed from a drainage channel to a drinking water supply river in 1995, heavy metals that have accumulated in sediments have become an environmental issue. Herein, we collected sediments of Taipu River in 2018, 2020, and 2021 and analyzed the distribution of Sb, As, Cd, Cu, Pb, Cr, and Zn to identify their sources. The results revealed that the mean concentrations of heavy metals were above the background values, except for Cr and As. During the non-flood season, the midstream of Taipu River becomes a heavy metal hotspot, with their concentrations 2-5 times higher than those in upstream sediment. There were significant correlations (r = 0.79-0.99) among drainage, precipitation and flow rate, which indicated that drainage caused by both the opening of Taipu Gate and precipitation control the flow rate and, then, possibly influenced the distribution of heavy metals. Moreover, three sources (industrial sources, particle deposition sources, and natural sources) were characterized as the determinants for the accumulation of heavy metal by the Positive Matrix Factorization model, with the contribution rates of 41.7%, 32.9%, and 25.4%, respectively. It is recommended that the influence of hydrological conditions and industrial activities should be a key consideration when developing regulations for the management of heavy metals in rivers.

Indexed as

Metals, HeavyWater Pollutants, ChemicalChinaEnvironmental MonitoringGeologic SedimentsRisk AssessmentMetals, HeavyWater Pollutants, Chemicalheavy metalhydrodynamicindustrial activitySedimentsource apportionment

Identifiers

PMID36011761
PMCPMC9407723

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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.