Evidence map›Paper›PMID 31197666›Full record

ArticleEnvironmental science and pollution research international2019

Numerical study of critical re-entrainment velocity of fire smoke within the street canyons with different building height ratios.

Quanli Wang, TaoTao Zhou, Qin Liu, Peixiang He, Changfa Tao, Qin Shi

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. 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. Article
  2. Effect of triangular roof angle on dispersion of gaseous pollutants and particulate matter.Environmental science and pollution research international · 2021
    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.

Quanli WangSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
TaoTao ZhouSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
Qin LiuSchool of Civil Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
Peixiang HeSchool of Civil Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
Changfa TaoSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China. chftao84@hfut.edu.cn.
Qin ShiSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China. shiqin@hfut.edu.cn.

Funding

Fundamental Research Funds for the Central Universities JZ2017HGTB0208National Natural Science Foundation of China 51408181Postdoctoral Research Foundation of China 2018M640582
6 · The paper itself

Abstract

Traffic accident may bring vehicle fire in the street canyons. With its high temperature and numerous hazardous materials, the smoke produced by the vehicle fire may cause serious damage to the human body and the properties nearby, such as the glass curtain walls of buildings. The influence of the ambient air flow speed and street aspect ratio on the dispersion of fire smoke in street canyon has been analyzed by FDS software and theoretical analysis in this study. The impact of different windward building heights and different ambient air flow speeds u

Indexed as

Accidents, TrafficModels, TheoreticalAir PollutantsCitiesHazardous SubstancesHot TemperatureHumansSmokeVehicle EmissionsWindAir PollutantsHazardous SubstancesSmokeVehicle EmissionsBuilding heightCritical re-entrainment velocityFire smokeStreet canyon

Identifiers

PMID31197666

What OpenQuestion holds

Textmetadata
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.