Evidence map›Paper›PMID 32594437›Full record

ArticleEnvironmental science and pollution research international2020

Evaluating surface water quality using water quality index in Beiyun River, China.

Huihui Wu, Wenjie Yang, Ruihua Yao, Yue Zhao, Yunqiang Zhao, Yuhang Zhang, Qianhui Yuan, Aijun Lin

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Improving Water Quality Index Prediction Using Regression Learning Models.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. 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

8 authors.

Huihui WuCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Wenjie YangChinese Academy for Environmental Planning, Beijing, 100012, People's Republic of China.
Ruihua YaoChinese Academy for Environmental Planning, Beijing, 100012, People's Republic of China.
Yue ZhaoChinese Academy for Environmental Planning, Beijing, 100012, People's Republic of China.
Yunqiang ZhaoCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Yuhang ZhangCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Qianhui YuanCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Aijun LinCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China. environbiol@mail.buct.edu.cn.ORCID http://orcid.org/0000-0002-8420-2085

Funding

Major Science and Technology Program for Water Pollution Control and Treatment 2018ZX07111003
6 · The paper itself

Abstract

The Beijing-Tianjin-Hebei urban agglomeration is one of the most water-scarce regions in China, because of the frequent human activities. Water scarcity and pollution have weakened the service functions of water ecosystems and hindered the regional economic development. As the "lifeline" of the economic development of Beijing-Tianjin-Hebei region, the water quality of Beiyun River has been widely concerned. River water quality assessment is one of the most important aspects to enhance water resources management plans. Water quality index (WQI), as one of the most frequently used evaluation tools, was used to comprehensively analyze the water quality in the Beiyun River. Between January 2017 and October 2018, we collected samples from 16 typical sampling sites along the main rivers of the watershed, covering four seasons. Seventeen water quality parameters, including temperature, pH, conductivity, dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD

Indexed as

Water QualityBeijingChinaEcosystemEnvironmental MonitoringHumansWater Pollutants, ChemicalWater PollutionWater Pollutants, ChemicalBeijing-Tianjin-Hebei regionBeiyun RiverLand typeWater quality analysisWater quality index (WQI)

Identifiers

What OpenQuestion holds

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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.