Evidence map›Paper›PMID 30708935›Full record

ArticleInternational journal of environmental research and public health2019

Seasonal Characteristics and Particle-size Distributions of Particulate Air Pollutants in Urumqi.

Xianyong Meng, Yiping Wu, Zhihua Pan, Hao Wang, Gang Yin, Honggang Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Particulate Matter Emission Factors for Dairy Facilities and Cattle Feedlots during Summertime in Texas.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Evaluation of Fine and Ultrafine Particles Proportion in Airborne Dust in an Industrial Area.International journal of environmental research and public health · 2021
    Article
  10. 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 5 institutions in 2 countries.

Xianyong MengCollege of Resources and Environmental Science, China Agricultural University (CAU), Beijing 100193, China. xymeng@cau.edu.cn.ORCID 0000-0003-4182-5028
Yiping WuDepartment of Earth & Environmental Science, Xi'an Jiaotong University, Xi'an 710049, China. yipingwu@xjtu.edu.cn.
Zhihua PanCollege of Resources and Environmental Science, China Agricultural University (CAU), Beijing 100193, China. panzhihua@cau.edu.cn.
Hao WangState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin & China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100011, China. wanghao@iwhr.com.
Gang YinSchool of Resources and Environment Science, Xinjiang University (XJU), Urumqi 830046, China. chinayg@xju.edu.cn.
Honggang ZhaoSchool of Resources and Environment Science, Xinjiang University (XJU), Urumqi 830046, China. xjwzhg@163.com.
Xinjiang University · CNChina Agricultural University · CNChina Institute of Water Resources and Hydropower Research · CNHKU-Pasteur Research Pole · HKXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban particulate air pollution is a known cause of adverse human health effects worldwide. Urumqi is a large oasis city in which rapid urbanization has caused a series of eco-environmental problems including serious air pollution, water shortage, dense population, excess energy consumption, and the creation of an urban heat island, among others. Coal is the most important source of energy and air pollutants that are poorly dispersed into the natural surroundings are the main reasons for serious pollution in the Urumqi urban area. Using differential optical absorption spectroscopy (DOAS), aerosol levels were determined using the double optical path method. We found that aerosol concentrations in Urumqi increased rapidly in winter, and that the concentration of fine particles was much higher than that of coarse particles. The background aerosol concentration was highest in winter in the research area, and the air-flow speed had a significant impact on this because high speed surface winds that correspond to high air flows can transport the aerosol to other places. Some of the observed day-to-night differences may be caused by differing wind directions that transport air masses from different emission sources during the day and the night. Daily and seasonal differences in PM

Indexed as

SeasonsAerosolsAir PollutantsChinaCitiesEnvironmental MonitoringHumansParticle SizeParticulate MatterWindAerosolsAir PollutantsParticulate Matteraerosolair pollutionair quality monitoringparticulate matterphysicochemical propertyPM concentration

Identifiers

PMID30708935
PMCPMC6388106
OpenAlexW2913275251

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.