Evidence map›Paper›PMID 36834371›Full record

ArticleInternational journal of environmental research and public health2023

Occurrence, Risk, and Source of Heavy Metals in Lake Water Columns and Sediment Cores in Jianghan Plain, Central China.

Cong Wang, Kan Wang, Wuquan Zhou, Yong Li, Guoqing Zou, Zhi Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

6 authors.

Cong WangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Kan WangCentral-Southern Safety & Environment Technology Institute Co., Ltd., Wuhan 430051, China.
Wuquan ZhouChina Metallurgical Geology Bureau (CMGB) Bureau-1 (Hebei) Analysis & Technology Co., Ltd., Langfang 065201, China.
Yong LiChina Metallurgical Geology Bureau (CMGB) Bureau-1 (Hebei) Analysis & Technology Co., Ltd., Langfang 065201, China.
Guoqing ZouChina Metallurgical Geology Bureau (CMGB) Bureau-1 (Hebei) Analysis & Technology Co., Ltd., Langfang 065201, China.
Zhi WangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.ORCID 0000-0002-6832-7013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal pollution in lakes is an issue that endangers ecosystems worldwide; however, the vertical properties of heavy metals in the water columns and sediment cores of lakes have been rarely evaluated simultaneously. This study revealed the pollution, risks, and sources of heavy metals from surface water to deep sediments in four typical shallow lakes located in central China. The results showed that the concentrations of heavy metals, except Hg, had insignificant stratification in the water column. Heavy metals had three vertical profiles in sediment cores, i.e., the concentrations of As, Hg, Cd, Pb, and Mn in the surface sediment (0-9 cm) were higher than that in the bottom sediment (9-45 cm) (

Indexed as

MercuryMetals, HeavyWater Pollutants, ChemicalCadmiumChinaEcosystemEnvironmental MonitoringGeologic SedimentsHumansLakesRisk AssessmentWaterCadmiumMercuryMetals, HeavyWaterWater Pollutants, Chemicalheavy metalsrisk assessmentsediment coresource apportionmentwater column

Identifiers

PMID36834371
PMCPMC9963068

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.