Evidence map›Paper›PMID 36141529›Full record

ArticleInternational journal of environmental research and public health2022

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbs of Kaifeng, China.

Bingyan Jin, Jinling Wang, Wei Lou, Liren Wang, Jinlong Xu, Yanfang Pan, Jianbiao Peng, Dexin Liu

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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 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bingyan JinCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Jinling WangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Wei LouCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Liren WangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Jinlong XuCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Yanfang PanCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.ORCID 0000-0001-6918-0511
Jianbiao PengSchool of Environment, Henan Normal University, Xinxiang 453007, China.
Dexin LiuCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.ORCID 0000-0001-8471-0912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rivers in urban environments are significant components of their ecosystems but remain under threat of pollution from unchecked discharges of industrial sewage and domestic wastewater. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods, whilst Pearson's correlation, principal component and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate that of the eight heavy metals identified, Hg is most prevalent, followed in sequence by Cd > Zn > Cu > Pb > Ni > As > Cr. The potential ecological risk index of the Huafei River is very high, with the potential ecological risk intensity highest in the midstream and downstream sections, where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. Thus, special attention should be paid to Hg and Cd, and measures must be taken to prevent further anthropogenic influence on heavy metal pollution.

Indexed as

MercuryMetals, HeavyWater Pollutants, ChemicalCadmiumChinaEcosystemEnvironmental MonitoringGeologic SedimentsHumansLeadRisk AssessmentSewageSoilWastewaterCadmiumLeadMercuryMetals, HeavySewageSoilWastewaterWater Pollutants, Chemicalecological riskheavy metalpollution characteristicsriver sedimentssources identification

Identifiers

PMID36141529
PMCPMC9517487

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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.