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首页> 外文期刊>Atmospheric environment >Association of aerosols, trace gases and black carbon with mortality in an urban pollution hotspot over central Indo-Gangetic Plain
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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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摘要

The short term effect of multiple air pollutants e.g. aerosols (black carbon, BC; PM2.5 and PM10) and trace gases (NO2, SO2, and O-3) on all-cause mortality was systematically investigated in a typical urban pollution hotspot over central Indo-Gangetic Plain (IGP). To our knowledge, this would be 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 analyzed from 2009 to 2016 following a semiparametric quasi-Poisson regression model adjusting mean temperature (Tmean), relative humidity (RH), and long term time trend (Time) as potential confounders. Single pollutant model clearly established the significant impact of BC aerosols (against 10-unit increase in pollutant; 4.95%, 95% CI: 2.16-7.74), NO2 (2.38%, 95% CI: 0.88-3.87%) and PM2.5 exposure (1.06%, 95% CI: 0.45-1.66%) on mortality. 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 viz. 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 PM10. We also 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 mu gm(-3) for BC aerosols and 60 mu gm(-3); 3 for PM2.5. The effect estimates of air pollutants during haze and no-haze days were also defined. During haze days, mortality rose to 6.11% and 3.06% for each 10-unit increase in BC and NO2 exposure, respectively. Significant effect of BC aerosol exposure on human mortality was established which reaffirms its inclusion as a potential health regulator for epidemiological studies.
机译:多次空气污染物的短期效果例如。在典型的城市污染热点(IGP)的典型城市污染热点(IGP)中,系统地研究了气溶胶(黑碳,BC; PM2.5和PM2.5和PM10)和痕量气体(NO2,SO2和O-3)。据我们所知,这将是对暴露于BC气溶胶和南亚多种痕量气体的第一份死亡率估计。在调整平均温度(TMean),相对湿度(RH)和长期时间趋势(时间)之后,从2009年到2016年分析了每日全因死亡率和环境空气质量。单一污染模型明确建立了BC气溶胶的重大影响(针对10单位污染物增加; 4.95%,95%CI:2.16-7.74),NO2(2.38%,95%CI:0.88-3.87%)和PM2.5暴露(1.06%,95%CI:0.45-1.66%)对死亡。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%)。考虑到不同效果改性剂Qiz,进一步分层了死亡率估计。性,年龄,死亡地点,和季节。几乎在所有案例中,除PM10之外的所有污染物都会注意到统计上微不足道的效果修饰差异。我们还探讨了分布式滞后非线性模型来估计滞后效果,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,而暴露& 15 mm gm(-3)的暴露和 60 mg(-3)的曝光率相当增加。 3 PM2.5。还定义了空气污染物在雾度和无阴霾天期间的效果估计。在阴霾的日子期间,每10单位的BC和No2暴露的每10单位增加,死亡率分别上升至6.11%和3.06%。建立了BC气溶胶暴露对人死亡率的显着影响,重申其作为流行病学研究的潜在卫生调节因子。

著录项

  • 来源
    《Atmospheric environment》 |2021年第2期|118088.1-118088.10|共10页
  • 作者单位

    Banaras Hindu Univ Inst Environm & Sustainable Dev DST Mahamana Ctr Excellence Climate Change Res Varanasi Uttar Pradesh India|Banaras Hindu Univ Inst Environm & Sustainable Dev Varanasi Uttar Pradesh India;

    Banaras Hindu Univ Inst Environm & Sustainable Dev Varanasi Uttar Pradesh India;

    Banaras Hindu Univ Inst Environm & Sustainable Dev DST Mahamana Ctr Excellence Climate Change Res Varanasi Uttar Pradesh India|Banaras Hindu Univ Inst Environm & Sustainable Dev Varanasi Uttar Pradesh India;

    St Johns Med Coll Dept Biostat Bangalore Karnataka India;

    Banaras Hindu Univ Inst Environm & Sustainable Dev DST Mahamana Ctr Excellence Climate Change Res Varanasi Uttar Pradesh India|Indian Inst Technol BHU Dept Chem Engn & Technol Varanasi Uttar Pradesh India;

    Banaras Hindu Univ Inst Environm & Sustainable Dev DST Mahamana Ctr Excellence Climate Change Res Varanasi Uttar Pradesh India|Banaras Hindu Univ Inst Environm & Sustainable Dev Varanasi Uttar Pradesh India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Black carbon; Exposure; Fine particles; Time-series; Mortality;

    机译:黑碳;曝光;细颗粒;时间序列;死亡率;

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