Evidence map›Paper›PMID 34988787›Full record

ArticleEnvironmental science and pollution research international2022

Analysis of spatio-temporal variations of river water quality and construction of a novel cost-effective assessment model: a case study in Hong Kong.

Qiaoli Wang, Zijun Li, Yu Xu, Rongrong Li, Mengsheng Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 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
1.0field-weighted citation impact, top 28% 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, 13 citations in OpenAlex.

  1. Article
  2. Review
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 1 institution in 1 country.

Qiaoli WangSchool of Resources and Safety Engineering, Central South University, Changsha Hunan, 410083, China.
Zijun LiSchool of Resources and Safety Engineering, Central South University, Changsha Hunan, 410083, China. anquan@csu.edu.cn.
Yu XuSchool of Resources and Safety Engineering, Central South University, Changsha Hunan, 410083, China.
Rongrong LiSchool of Resources and Safety Engineering, Central South University, Changsha Hunan, 410083, China.
Mengsheng ZhangSchool of Resources and Safety Engineering, Central South University, Changsha Hunan, 410083, China.
Central South University · CN

Funding

National Key R&D Program of China 2018YFC0808404Postgraduate Research and Innovation Foundation of Central South University 2021zzts0277
6 · The paper itself

Abstract

Assessment of river water quality has been attracting a great deal of attention because of its important implications for the living environment of human beings and aquatic organisms. River water quality is commonly assessed using dozens of different water quality parameters. However, different parameters may contain redundant information, which could lead to the waste of monitoring efforts. Thus, this study constructed a novel cost-effective assessment model of river water quality using the 1-year monitoring data collected from 23 sampling stations in the water control zone of Tolo Harbour and Channel in Hong Kong. First, the spatio-temporal variations of water quality parameters and the overall status of river water quality were analyzed based on all 19 parameters using Kruskal-Wallis test, hierarchical cluster analysis, and the water quality index (WQI). The results indicated that most water quality parameters and overall water quality status varied significantly over space, but did not exhibit obvious seasonal differences; and 99.27% of water samples were identified to be in good or excellent status of overall WQI. Then, using principal component analysis (PCA)/factor analysis (FA) and Pearson's correlation analysis, eight parameters, including 5-day biochemical oxygen demand (BOD

Indexed as

Water Pollutants, ChemicalWater QualityCost-Benefit AnalysisEnvironmental MonitoringHong KongHumansNitrogenRiversNitrogenWater Pollutants, ChemicalCost-effective assessment modelMultivariate statistical analysisParameter selectionRiver water quality assessmentSpatio-temporal variations

Identifiers

PMID34988787
OpenAlexW4206204357

What OpenQuestion holds

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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.