Since 1991, air pollution has gained special attention in Taiwan after a petrochemical complex was constructed in Mailiao Township, Yunlin County. We explored the association between the magnitude of PM2.5 and meteoro...Since 1991, air pollution has gained special attention in Taiwan after a petrochemical complex was constructed in Mailiao Township, Yunlin County. We explored the association between the magnitude of PM2.5 and meteorological factors during 2012-2016. Our findings revealed that 1) mean PM2.5 levels gradually decreased from 30.70 μg/m3 in 2013 to 25.36 μg/m3 in 2016;2) wind speed is the main determinant of air quality—air quality significantly improved when it was faster than 4 m/sec;and 3) wind direction is another determinant of air quality—when the wind direction was southerly, air quality improved. Elevated PM2.5 levels were defined as those hourly levels higher than the third quartile (36 μg/m3). The significantly negative predictive factors for elevated PM2.5 levels were the summer or autumn seasons, rainfall, increased wind speed, and wind direction from 150° to 230° from the north. The significantly positive predictive factors for elevated PM2.5 levels were working hours from 6 a.m. to 2 p.m., a temperature between 11°C and 25°C, relative humidity between 40% and 68%, and wind direction (e.g., northerly wind, northeasterly wind, and easterly wind). The predictive formula is attached in the Appendix. Therefore, people should protect themselves on these high-risk days.展开更多
[Objective]The research aimed to understand the levels of indoor air particles of PM_(10) and PM_(2.5)in public places in Chaoyang District of Beijing City,which will provide scientific basis for making health standar...[Objective]The research aimed to understand the levels of indoor air particles of PM_(10) and PM_(2.5)in public places in Chaoyang District of Beijing City,which will provide scientific basis for making health standards and policies and regulations of indoor air particulate matter in public places.[Method]In order to characterize indoor air quality of public places,shopping mall near the walking street,shopping mall near arterial traffic,barbecue style restaurant and eat hutch unicom Chinese restaurant were selected for this study.LD-3Claser measuring dust detector and Sidepak AM-510 artificial intelligence anti-explosion dust detector were used to test the levels of PM_(10) and PM_(2.5)in the air of the shopping malls and restaurants.The number of smoking customers and if smelling the smoke were recorded simultaneously.[Result]The average densities of PM_(10) and PM_(2.5)in the shopping mall near the walking street were noticeably lower than that near arterial traffic(P< 0.05).The highest level of PM_(2.5)at the barbecue style restaurant and eating hutch unicom Chinese restaurants were 1 090and666g/m^3.The average levels of PM_(10) at the barbecue style restaurant and eating hutch unicom restaurants were 286 and 399g/m3(P<0.05).[Conclusion]The indoor PM_(10) and PM_(2.5)concentrations were high in public places,especially in shopping mall near arterial traffic and restaurant.It should be enhanced to supervise indoor air in public places and establish the risk rating of indoor air quality to protect public health.展开更多
We aimed to test a hypothesis that elevated ambient particulate matter (PM) 2.5 concentrations are significantly associated with risk of coronary heart disease (CHD), stroke, and diabetes mellitus (DM) in adults aged ...We aimed to test a hypothesis that elevated ambient particulate matter (PM) 2.5 concentrations are significantly associated with risk of coronary heart disease (CHD), stroke, and diabetes mellitus (DM) in adults aged 65 and older. We analyzed data (2010-2013) from U.S. 1118 counties to examine the association between PM2.5 concentrations and risk of prevalent CHD, stroke, and DM, and mortality from cardiovascular disease (CVD), CHD, stroke, and DM in adults aged ≥ 65. Multilevel regression analysis technique was applied to test these associations. The results show that the annual mean of PM2.5 concentration was 8.7 μg/m<sup>3</sup> in the total study sample. Significant differences in mean PM2.5 concentrations were observed across counties and states in the U.S. Multilevel regression analysis indicates that an average annual concentration of 1 μg/m<sup>3</sup> increase in PM2.5 concentration was significantly associated with an increased prevalence of CHD, stroke, and DM by 4.9‰ (95% CI: 3.1‰ - 6.7‰), 0.8‰ (0.5‰ - 1.1‰), and 3.3‰ (2.9‰ - 4.4‰), respectively. State-level correlation analyses indicate that increased PM2.5 concentrations were significantly associated with increased age-adjusted mortality from CVD (r = 0.76, p < 0.001), CHD (r = 0.0.40, p = 0.004), stroke (r = 0.60, p p = 0.02). In conclusion, Elevated PM2.5 concentrations were significantly associated with an increased risk of the prevalence and mortality from CVD, CHD, stroke, and DM. Continued effort to control ambient PM2.5 concentrations could play an important role in risk reduction of cardiovascular disease and diabetes in the elderly.展开更多
文摘Since 1991, air pollution has gained special attention in Taiwan after a petrochemical complex was constructed in Mailiao Township, Yunlin County. We explored the association between the magnitude of PM2.5 and meteorological factors during 2012-2016. Our findings revealed that 1) mean PM2.5 levels gradually decreased from 30.70 μg/m3 in 2013 to 25.36 μg/m3 in 2016;2) wind speed is the main determinant of air quality—air quality significantly improved when it was faster than 4 m/sec;and 3) wind direction is another determinant of air quality—when the wind direction was southerly, air quality improved. Elevated PM2.5 levels were defined as those hourly levels higher than the third quartile (36 μg/m3). The significantly negative predictive factors for elevated PM2.5 levels were the summer or autumn seasons, rainfall, increased wind speed, and wind direction from 150° to 230° from the north. The significantly positive predictive factors for elevated PM2.5 levels were working hours from 6 a.m. to 2 p.m., a temperature between 11°C and 25°C, relative humidity between 40% and 68%, and wind direction (e.g., northerly wind, northeasterly wind, and easterly wind). The predictive formula is attached in the Appendix. Therefore, people should protect themselves on these high-risk days.
文摘[Objective]The research aimed to understand the levels of indoor air particles of PM_(10) and PM_(2.5)in public places in Chaoyang District of Beijing City,which will provide scientific basis for making health standards and policies and regulations of indoor air particulate matter in public places.[Method]In order to characterize indoor air quality of public places,shopping mall near the walking street,shopping mall near arterial traffic,barbecue style restaurant and eat hutch unicom Chinese restaurant were selected for this study.LD-3Claser measuring dust detector and Sidepak AM-510 artificial intelligence anti-explosion dust detector were used to test the levels of PM_(10) and PM_(2.5)in the air of the shopping malls and restaurants.The number of smoking customers and if smelling the smoke were recorded simultaneously.[Result]The average densities of PM_(10) and PM_(2.5)in the shopping mall near the walking street were noticeably lower than that near arterial traffic(P< 0.05).The highest level of PM_(2.5)at the barbecue style restaurant and eating hutch unicom Chinese restaurants were 1 090and666g/m^3.The average levels of PM_(10) at the barbecue style restaurant and eating hutch unicom restaurants were 286 and 399g/m3(P<0.05).[Conclusion]The indoor PM_(10) and PM_(2.5)concentrations were high in public places,especially in shopping mall near arterial traffic and restaurant.It should be enhanced to supervise indoor air in public places and establish the risk rating of indoor air quality to protect public health.
文摘We aimed to test a hypothesis that elevated ambient particulate matter (PM) 2.5 concentrations are significantly associated with risk of coronary heart disease (CHD), stroke, and diabetes mellitus (DM) in adults aged 65 and older. We analyzed data (2010-2013) from U.S. 1118 counties to examine the association between PM2.5 concentrations and risk of prevalent CHD, stroke, and DM, and mortality from cardiovascular disease (CVD), CHD, stroke, and DM in adults aged ≥ 65. Multilevel regression analysis technique was applied to test these associations. The results show that the annual mean of PM2.5 concentration was 8.7 μg/m<sup>3</sup> in the total study sample. Significant differences in mean PM2.5 concentrations were observed across counties and states in the U.S. Multilevel regression analysis indicates that an average annual concentration of 1 μg/m<sup>3</sup> increase in PM2.5 concentration was significantly associated with an increased prevalence of CHD, stroke, and DM by 4.9‰ (95% CI: 3.1‰ - 6.7‰), 0.8‰ (0.5‰ - 1.1‰), and 3.3‰ (2.9‰ - 4.4‰), respectively. State-level correlation analyses indicate that increased PM2.5 concentrations were significantly associated with increased age-adjusted mortality from CVD (r = 0.76, p < 0.001), CHD (r = 0.0.40, p = 0.004), stroke (r = 0.60, p p = 0.02). In conclusion, Elevated PM2.5 concentrations were significantly associated with an increased risk of the prevalence and mortality from CVD, CHD, stroke, and DM. Continued effort to control ambient PM2.5 concentrations could play an important role in risk reduction of cardiovascular disease and diabetes in the elderly.
