International Journal of Environmental Research and Public Health

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Prof. Dr. Chan Lu

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Guest Editor

XiangYa School of Public Health, Central South University, Changsha 410078, China
Interests: air pollution and childhood health; early life exposure; climate change and health effect

Dr. Weihui Liang

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Guest Editor

School of Architecture and Urban Planning, Nanjing University, Jiangsu 210093, China
Interests: indoor air quality; mass transfer mechanism of building materials; volatile organic compounds (VOC) simulation

Dr. Chanjuan Sun

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Guest Editor

Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: indoor air quality; building environment and human health; human comfort and work productivity

Prof. Dr. Tingzhen Ming

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Guest Editor

School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Interests: thermoelectric energy systems; electronics cooling; carbon neutralization technology; solar energy utilization
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Special Issue Information

Dear Colleagues,

The 10th IEHB Conference is a live event! Live content will be held in Wuhan from December 3 to 5, 2021. This conference is jointly sponsored by the Indoor Environment and Health Branch of Chinese Society of Environmental Sciences, Wuhan University of Technology, co-hosted by Wuhan University of Science and Technology, and co-organized by Huazhong University of Science and Technology, Wuhan University, Central China Normal University, 719 Research Institute—Wuhan Second Ship Design Institute, Huanggang Normal University, Air Force Logistics University. The annual conference aims to perform in-depth research and exchange, promote interdisciplinary research cooperation, promote the interaction between academic and industry, and provide a platform for people from all fields to have in-depth exchanges and expand their influence on relevant topics such as: health and smart cities, green intelligent building, urban heat island and urban pollution, chemical pollution, particulate pollution, microbial contamination, public health and toxicology, transmission and control of pathogenic microorganisms, hospital environment and health, industrial building environment and health, environment and health of civil buildings, urban traffic environment and health, confined space environment and health, underground space environment and health, mobile space environment and health, rural indoor environment and health, detection and monitoring, treatment methods and purification, thermal comfort, big data processing methods, indoor and outdoor environments, and biological aerosols such as COVID-19 and air pollution.

Prof. Dr. Chan Lu
Dr. Weihui Liang
Dr. Chanjuan Sun
Prof. Dr. Tingzhen Ming
Guest Editors

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Keywords

indoor environment
environment pollution
public health
healthy buildings
COVID-19

Published Papers (2 papers)

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Research

27 pages, 14398 KiB

Open AccessArticle

Study of Oil Particle Concentration Vertical Distribution of Various Sizes under Displacement Ventilation System in Large-Space Machining Workshop

by Fei Wang, Qinpeng Meng, Chengjie Lin, Xin Wang and Wenbing Weng

Int. J. Environ. Res. Public Health 2022, 19(11), 6932; https://doi.org/10.3390/ijerph19116932 - 6 Jun 2022

Cited by 4 | Viewed by 1587

Abstract

The widespread use of metal working fluids (MWFs) in machining processes leads to the production of a large number of harmful oil particles, which may pose serious health hazards to workers. The oil particle concentration has an inhomogeneous distribution in large spaces under displacement ventilation (DV) system, and the supply air volume required to maintain a low particle concentration under a DV system may be less than that needed under a mixing ventilation system. In this study, computational fluid dynamics (CFD) was used to study the particle concentration distribution rules and characteristics under various particle sizes in a large-space machine workshop with a DV system. Several distribution indices, such as the inhomogeneity factor and stratification height were utilized to analyze the inhomogeneous distribution of particle concentration; furthermore, sensitivity analyses were conducted for these indices. We found that the particle concentration shows a similar inhomogeneity factor distribution rule along the vertical direction under an air change rate of 2–6 in the DV system. The workspace inhomogeneity factor of particles smaller than 5 μm is less than 0.25, whereas that of 10-μm particles declines with an increase in air supply volume. Approximately double the supply air volume is required to keep the 10-μm particle concentration at the same level as particles smaller than 5 μm. The workspace inhomogeneity factor of small particles (<5 μm) is more sensitive to the machine height and machine surface temperature than other parameters, whereas that of large particles (>5 μm) is more sensitive to the supply air volume than other parameters. The results of this study can be applied for the design and control of displacement ventilation systems in large-space machining workshops. Full article

(This article belongs to the Special Issue The 10th IEHB (Indoor Environment and Public Health) Conference)

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8 pages, 808 KiB

Open AccessArticle

Prevalence and Associated Factors for Elevated Depressive Symptoms in 386,924 Primary Students during the COVID-19 Pandemic Normalization in China

by Yuan Xue, Qingqing Xu, Juan Wang, Hualiang Lin, Chongjian Wang, Xiaomin Lou, Cuiping Wu, Zhenxing Mao and Xiaoli Fu

Int. J. Environ. Res. Public Health 2022, 19(6), 3406; https://doi.org/10.3390/ijerph19063406 - 14 Mar 2022

Cited by 3 | Viewed by 1865

Abstract

We aimed to assess the prevalence of elevated depressive symptoms and its associated factors during the coronavirus disease 2019 (COVID-19) pandemic among primary students in China. We included 386,924 students aged 6–12 years from three cities in Henan province, China, over the period 21–27 May 2021. The overall prevalence of depressive symptoms was 5.8%. Participants with high depressive symptoms were more likely to be senior urban primary students, and exhibited an insignificant increase in hand washing frequency, non-mask wearing behavior, higher error rates of cognition tests, and greater levels of worry and fear. The associated factors for high depressive symptoms were found to include age, sex, grade, location, worry level, fear level, cognitive status, and change in lifestyle after gaining knowledge about COVID-19. Our results suggest that governments need to focus on factors affecting the mental health of school-age children while combating COVID-19, as it would facilitate better decision making on the international and national level. Full article

(This article belongs to the Special Issue The 10th IEHB (Indoor Environment and Public Health) Conference)

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