Evidence map›Paper›PMID 30563145›Full record

ArticleInternational journal of environmental research and public health2018

Distribution, Sources, and Water Quality Assessment of Dissolved Heavy Metals in the Jiulongjiang River Water, Southeast China.

Bin Liang, Guilin Han, Man Liu, Kunhua Yang, Xiaoqiang Li, Jinke Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 61 citations in OpenAlex.

  1. Anthropogenic Contamination in the Free Aquifer of the San Luis Potosí Valley.International journal of environmental research and public health · 2023
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  3. Suspended Sediments Quality Assessment in a Coastal River: Identification of Potentially Toxic Elements.International journal of environmental research and public health · 2022
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  8. Article
  9. Variability of water quality and metal pollution index in the Ganges River, Bangladesh.Environmental science and pollution research international · 2020
    Article
  10. Article
  11. A Novel Approach for Indexing Heavy Metals Pollution to Assess Groundwater Quality for Drinking Purposes.International journal of environmental research and public health · 2020
    Article
  12. Article
  13. Spatial Variation and Source of Dissolved Heavy Metals in the Lancangjiang River, Southwest China.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Water Quality of the Mun River in Thailand-Spatiotemporal Variations and Potential Causes.International journal of environmental research and public health · 2019
    Article
  16. Article
  17. 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

6 authors at 1 institution in 1 country.

Bin LiangSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. liangbin@cugb.edu.cn.ORCID 0000-0002-5653-9668
Guilin HanSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. hanguilin@cugb.edu.cn.ORCID 0000-0002-0848-7648
Man LiuSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. lman@cugb.edu.cn.
Kunhua YangSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. kunhuayang@cugb.edu.cn.ORCID 0000-0001-9623-9283
Xiaoqiang LiSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. xiaoqli@cugb.edu.cn.ORCID 0000-0002-9526-4628
Jinke LiuSchool of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China. liujinke@cugb.edu.cn.
China University of Geosciences (Beijing) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the concentration of eight dissolved heavy metals (Ti, Cr, Mn, Fe, Ni, Mo, Sb, and Ba) in 42 water samples from the Jiulongjiang River, southeast China, were determined by inductively coupled plasma mass spectrometry (ICP-MS). Multivariate statistical methods, including correlation analysis (CA) and factor and principal component analysis (FA/PCA), were analyzed to identify the sources of the elements. Water quality index (WQI) and health risk assessment, including hazard quotient (HQ) and hazard index (HI), were used to evaluate water quality and the impacts on human health. Our results were compared with the drinking water guidelines reported by China, the World Health Organization (WHO), and the United States Environmental Protection Agency (US EPA), revealing that Ti, Mn, and Sb were not within approved limits at some sites and might be the main pollutants in the drainage basin. Based on the spatial distributions, Ti, Mn, Fe, Ni, and Mo showed good similarity, indicating that they might come from similar sources along the river. The CA results also showed that Ti, Mn, Fe, Ni, and Mo had a high correlation coefficient. The FA/PCA results identified three principal components (PC) that accounted for 79.46% of the total variance. PC 1 suggested that a mixed lithogenic and urban land source contributed to Ti, Mn, Fe, Ni, and Mo; PC 2 showed that Cr, Ni, and Mo were influenced by the discharge of industrial effluents; Sb had a strong loading on PC 3, which was controlled by mining activities. The results of the WQI indicated that the water in the Jiulongjiang River was basically categorized as excellent water, but the water quality levels in site W5 and N4 were poorer due to urban land use. Hazard quotient and HI values showed that Sb was a potential threat to human health, indicating that preventive actions should be considered in regard to mining activities in the upper reaches of Beixi stream.

Indexed as

MiningChinaDrinking WaterEnvironmental MonitoringHumansMetals, HeavyRisk AssessmentRiversWater PollutantsWater QualityDrinking WaterMetals, HeavyWater Pollutantscorrelation analysisdissolved heavy metalsfactor and principal component analysishealth risk assessmentthe Jiulongjiang Riverwater quality index

Identifiers

PMID30563145
PMCPMC6314042
OpenAlexW2903364759

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.