Evidence map›Paper›PMID 28856497›Full record

ArticleEnvironmental science and pollution research international2017

Simulations of the impacts of building height layout on air quality in natural-ventilated rooms around street canyons.

Fang Yang, Ke Zhong, Yonghang Chen, Yanming Kang

Abstract read
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Article in Environmental science and pollution research international, 2017. 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
–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

2 citing papers in PubMed.

  1. Effect of triangular roof angle on dispersion of gaseous pollutants and particulate matter.Environmental science and pollution research international · 2021
    Article
  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

4 authors.

Fang YangCollege of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.
Ke ZhongSchool of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Yonghang ChenSchool of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Yanming KangSchool of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China. ymkang@dhu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerical simulations were conducted to investigate the effects of building height ratio (i.e., HR, the height ratio of the upstream building to the downstream building) on the air quality in buildings beside street canyons, and both regular and staggered canyons were considered for the simulations. The results show that the building height ratio affects not only the ventilation fluxes of the rooms in the downstream building but also the pollutant concentrations around the building. The parameter, outdoor effective source intensity of a room, is then proposed to calculate the amount of vehicular pollutants that enters into building rooms. Smaller value of this parameter indicates less pollutant enters the room. The numerical results reveal that HRs from 2/7 to 7/2 are the favorable height ratios for the regular canyons, as they obtain smaller values than the other cases. While HR values of 5/7, 7/7, and 7/5 are appropriate for staggered canyons. In addition, in terms of improving indoor air quality by natural ventilation, the staggered canyons with favorable HR are better than those of the regular canyons.

Indexed as

Air PollutionCitiesModels, TheoreticalAir PollutantsAir Pollution, IndoorChinaComputer SimulationVentilationWindAir PollutantsAsymmetrical street canyonBuilding height ratioBuildings around streetsNatural ventilationOutdoor effective source intensityVentilation flux

Identifiers

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Registered trials

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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.