Evidence map›Paper›PMID 36498094›Full record

ArticleInternational journal of environmental research and public health2022

Pollution Assessment and SSD-Based Ecological Assessment of Heavy Metals in Multimedia in the Coast of Southeast China.

Rong Lu, Shaowei Rong, Jin Wu, Weifeng Yue, Qun Li

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 43% of its field
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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 4 institutions in 1 country.

Rong LuCollege of Water Sciences, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China.
Shaowei RongCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
Jin WuCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0001-5653-8561
Weifeng YueCollege of Water Sciences, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China.ORCID 0000-0003-2922-3067
Qun LiMinistry of Ecology and Environment Peoples Republic of China, Nanjing Institute of Environmental Science, No.8, Jiangwang Miao Street, Nanjing 210042, China.
Beijing University of Technology · CNBeijing Normal University · CNMinistry of Ecology and Environment · CNMinistry of Natural Resources · CN

Funding

Beijing Normal University Young Teachers Fund Project No. 2020NTST01
6 · The paper itself

Abstract

Heavy metals in the ocean exist in various media and assessing heavy metal pollution in the multimedia in seawater is important for proposing effective strategies to protect marine ecosystem health. However, comprehensive coastal pollution assessments and SSD-based assessments of heavy metals have been limited from an international perspective. This study discusses the distribution, sources, interactions, associated environmental factors, and potential ecological risks related to heavy metal pollution. To attain this objective, several tools and models were considered. The partition coefficient between sediment and water was used to understand the ability of heavy metals to be adsorbed from seawater by sediment. The water quality index was applied to evaluate the comprehensive heavy metal pollution at different sampling sites. The species diversity index was calculated by calculating the concentration of chlorophyll a. The geo-accumulation and potential ecological risk indexes were employed for the sediments' general pollution characteristic of heavy metals. Species sensitivity distribution was used for ecological risk evaluation. The results indicated that heavy metal pollution and ecological risk (Cu, Pb, Zn, Cd, As, Cr and Hg) are not serious, and the pollution conditions remain safe. Only Cu, Pb, and Hg concentrations in seawater exceed the Nation Class I Water Quality Standard. The concentrations of heavy metals showed significant spatial characteristics. Fisheries activities and industrial effluent discharges were identified as the main anthropogenic sources. This study provides a comprehensive assessment of heavy metals in multi-media, and the results will provide valuable information for nearshore ecological management and risk avoidance.

Indexed as

MercuryMetals, HeavyWater Pollutants, ChemicalChinaChlorophyll AEcosystemEnvironmental MonitoringGeologic SedimentsRisk AssessmentChlorophyll AMercuryMetals, HeavyWater Pollutants, Chemicalecological risk assessmentenvironmental toxicologyheavy metal pollutionmarine pollutionspecies sensitivity distribution

Identifiers

PMID36498094
PMCPMC9736362
OpenAlexW4311014089

What OpenQuestion holds

Textmetadata
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.