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Jiang Z, Gao Y, Cao H, Diao W, Yao X, Yuan C, Fan Y, Chen Y. Characteristics of ambient air quality and its air quality index (AQI) model in Shanghai, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165284. [PMID: 37406688 DOI: 10.1016/j.scitotenv.2023.165284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 06/25/2023] [Accepted: 07/01/2023] [Indexed: 07/07/2023]
Abstract
Long-term observations indicate that, the ambient air quality in Shanghai continues to improve, however the synergistic effects between the air pollutants PM2.5, O3 and NO2 are also increasing. The concentration of chemical components included in PM2.5 is higher in moderately polluted air containing multiple pollutants. This suggests that air pollution metrics based on multi-pollutant synergy are more descriptive of ambient air quality than single-pollutant air quality index (AQI) models that may ignore the effect of synergy between pollutants on ambient air quality forecasts. Therefore, this study proposes a new multi-pollutant air quality index model (NMAQI) based on four air pollutants (PM2.5, SO2, NO2 and O3) that emphasizes the relationship between PM2.5, NO2 and O3 in ambient air. The model successfully categorized observational data into classes of good, moderate, and polluted air quality ratings. Verification of the NMAQI model using the PM2.5 chemical composition spectrum shows that the NMAQI model can more accurately classify samples with high concentrations of chemical components (often misclassified by AQI) into high pollution levels. The model has an improved capacity to assess the degree of pollution in urban ambient air and to reduce the risk of public exposure to highly polluted atmospheric environments.
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Affiliation(s)
- Zexi Jiang
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Yunchuan Gao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Huaxing Cao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Weixia Diao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Xu Yao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Cancan Yuan
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Yueying Fan
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Ya Chen
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
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LaKind JS, Burns CJ, Pottenger LH, Naiman DQ, Goodman JE, Marchitti SA. Does ozone inhalation cause adverse metabolic effects in humans? A systematic review. Crit Rev Toxicol 2021; 51:467-508. [PMID: 34569909 DOI: 10.1080/10408444.2021.1965086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
We utilized a practical, transparent approach for systematically reviewing a chemical-specific evidence base. This approach was used for a case study of ozone inhalation exposure and adverse metabolic effects (overweight/obesity, Type 1 diabetes [T1D], Type 2 diabetes [T2D], and metabolic syndrome). We followed the basic principles of systematic review. Studies were defined as "Suitable" or "Supplemental." The evidence for Suitable studies was characterized as strong or weak. An overall causality judgment for each outcome was then determined as either causal, suggestive, insufficient, or not likely. Fifteen epidemiologic and 33 toxicologic studies were Suitable for evidence synthesis. The strength of the human evidence was weak for all outcomes. The toxicologic evidence was weak for all outcomes except two: body weight, and impaired glucose tolerance/homeostasis and fasting/baseline hyperglycemia. The combined epidemiologic and toxicologic evidence was categorized as weak for overweight/obesity, T1D, and metabolic syndrome,. The association between ozone exposure and T2D was determined to be insufficient or suggestive. The streamlined approach described in this paper is transparent and focuses on key elements. As systematic review guidelines are becoming increasingly complex, it is worth exploring the extent to which related health outcomes should be combined or kept distinct, and the merits of focusing on critical elements to select studies suitable for causal inference. We recommend that systematic review results be used to target discussions around specific research needs for advancing causal determinations.
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Affiliation(s)
- Judy S LaKind
- LaKind Associates, LLC, Catonsville, MD, USA.,Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carol J Burns
- Burns Epidemiology Consulting, LLC, Sanford, MI, USA
| | | | - Daniel Q Naiman
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
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