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Association of aerosols, trace gases and black carbon with mortality in an urban pollution hotspot over central Indo-Gangetic Plain

机译:气溶胶,痕量气体和黑碳与中部城市污染热点中的死亡率联系

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The short-term effect of multiple air pollutants, for example, aerosols (black carbon, BC; PM_(2.5) and PM_(10)) and trace gases (NO_2, SO_2, and O_3), on all-cause mortality was systematically investigated in a typical urban pollution hotspot over central Indo-Gangetic Plain (IGP). This was the first report of mortality estimates for exposure to BC aerosols and multiple trace gases over South Asia. Daily all-cause mortality and ambient air quality were analysed following a semiparametric quasi-Poisson regression model adjusting mean temperature, relative humidity, and long-term time trend as potential confounders. The inclusion of co-pollutants in the multi-pollutant model increased the individual mortality risks for BC aerosols (7.3%). Mortality estimates were further stratified considering different effect modifiers, namely, sex, age, place of death, and season. Almost in all the cases statistically insignificant differences in effect modification were noted for all the pollutants except PM_(10). The authors explored a distributed lag nonlinear model to estimate the lag effect and all the pollutants showed significant lag up to 3 days while BC showed lag effect up to 5 days. The exposure-response curves for individual air pollutants were mostly linear, while a considerable increase in mortality was noted for an exposure >15 μg/m~3 for BC aerosols and >60 μg/m~3 for PM_(2.5). The effect estimates of air pollutants during haze and no-haze days were also defined.
机译:多次空气污染物的短期效果,例如气溶胶(黑碳,BC; PM_(2.5)和PM_(10))和痕量气体(NO_2,SO_2和O_3),得到全因死亡率,得到了所有原因死亡率在典型的城市污染热点中,在中央印度难以下滑(IGP)。这是对暴露于BC气溶胶和南亚多种痕量气体的第一份死亡率估算报告。在半泊素准泊松回归模型调整平均温度,相对湿度和长期时间趋势作为潜在的混淆之后,分析了每日全因死亡率和环境空气质量。在多污染物模型中包含共污染物增加了BC气溶胶的个体死亡率风险(7.3%)。考虑到不同的效果改性剂,即性别,年龄,死亡地点,以及季节的不同效果改性,进一步分层了死亡率估算。除非PM_(10)外,几乎所有污染物都会注意到统计学上微不足道的差异。作者探讨了分布式滞后非线性模型来估计滞后效应,所有污染物显示出明显的滞后,而BC显示滞后效果长达5天。个体空气污染物的曝光响应曲线大多是线性的,而BC气溶胶的暴露>15μg/ m〜3的暴露和PM_(2.5)的曝光>60μg/ m〜3的曝光率相当大的增加。还定义了空气污染物在雾度和无阴霾天期间的效果估计。

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    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

    DST-Mahamana Centre of Excellence in Climate Change Research Institute of Environment and Sustainable Development Banaras Hindu University Varanasi India;

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