particulate matter (PM2.5, PM10)

  • 文章类型: Journal Article
    空气污染在区域和全球范围内以惊人的速度增长,对人类健康有重大影响,生态系统,和气候条件的变化。目前的12周(2021年10月4日至2021年12月26日)研究揭示了不同的环境空气质量参数,即,德里-NCR地区四个不同采样站的PM2.5,PM10,SO2,NO2和O3(Dwarka,知识园III,125区和VivekVihar),印度,通过使用卫星遥感数据(MERRA-2,OMI,和Aura卫星)和不同的地面仪器。地面观测显示了Dwarka中PM2.5的平均浓度,知识园III,扇区125和VivekVihar分别为279µgm-3、274µgm-3、294µgm-3和365µgm-3。地面仪器PM2.5浓度大于卫星观测值,而对于SO2和NO2,与其他污染物相比,基于卫星的监测的平均浓度更高。颗粒物之间存在负相关和正相关,痕量气体,和各种气象参数。风向被证明是改变这些污染物变化的主要参数之一。当前的研究提供了对颗粒物可观察行为的感知,痕量气体,它们随气象参数的变化,他们的健康危害,以及卫星遥感测量和地面测量之间的差距。
    Air pollution is growing at alarming rates on regional and global levels, with significant consequences for human health, ecosystems, and change in climatic conditions. The present 12 weeks (4 October 2021, to 26 December 2021) study revealed the different ambient air quality parameters, i.e., PM2.5, PM10, SO2, NO2, and O3 over four different sampling stations of Delhi-NCR region (Dwarka, Knowledge park III, Sector 125, and Vivek Vihar), India, by using satellite remote sensing data (MERRA-2, OMI, and Aura Satellite) and different ground-based instruments. The ground-based observation revealed the mean concentration of PM2.5 in Dwarka, Knowledge park III, Sector 125, and Vivek Vihar as 279 µg m-3, 274 µg m-3, 294 µg m-3, and 365 µg m-3, respectively. The ground-based instrumental concentration of PM2.5 was greater than that of satellite observations, while as for SO2 and NO2, the mean concentration of satellite-based monitoring was higher as compared to other contaminants. Negative and positive correlations were observed among particulate matter, trace gases, and various meteorological parameters. The wind direction proved to be one of the prominent parameter to alter the variation of these pollutants. The current study provides a perception into an observable behavior of particulate matter, trace gases, their variation with meteorological parameters, their health hazards, and the gap between the measurements of satellite remote sensing and ground-based measurements.
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  • 文章类型: Systematic Review
    越来越多的证据表明间质性肺病(ILD)与空气污染之间存在因果关系,都是为了疾病的发展,并推动疾病进展。我们的目标是提供关于空气污染之间关联的全面文献综述,ILD,包括特发性肺纤维化(IPF)。
    我们从六个在线数据库中进行了系统搜索。两名独立作者(DL和CF)选择了研究,并使用纽卡斯尔-渥太华量表(NOS)严格评估了偏倚的风险。研究结果通过叙事综合和荟萃分析呈现。当至少有三项研究检查相同的污染物-健康结果对时,仅进行荟萃分析。所有评估污染物浓度的等效增量,使用随机效应模型。
    确定了在13个国家或地区进行的24项观察性研究。正在调查的污染物包括臭氧(O3),二氧化氮(NO2),直径为10微米或更小(PM10)和2.5微米或更小(PM2.5)的颗粒物,二氧化硫(SO2),一氧化碳(CO),一氧化氮(NO)和氮氧化物(NOx)。我们进行了荟萃分析,以评估急性加重(AE)-IPF的估计风险比(RR)与暴露于空气污染物浓度每增加10μg/m3有关。包括O3、NO2、PM10和PM2.5。荟萃分析显示,PM2.5中AE-IPF的风险增加之间存在显着关联,RR为1.94(95%CI1.30-2.90;p=0.001)。所有纳入研究的结果表明,暴露于空气污染物的增加可能与ILD患者的一系列健康问题有关。
    关于空气污染物和ILD关系的现有研究的匮乏强调了在该领域进行进一步全面研究的必要性。现有数据表明,降低大气中PM2.5的水平可能会降低ILD患者的AE频率和严重程度。
    UNASSIGNED: There is a growing body of evidence suggesting a causal relationship between interstitial lung disease (ILD) and air pollution, both for the development of the disease, and driving disease progression. We aim to provide a comprehensive literature review of the association between air pollution, and ILD, including idiopathic pulmonary fibrosis (IPF).
    UNASSIGNED: We systematically searched from six online database. Two independent authors (DL and CF) selected studies and critically appraised the risk of bias using the Newcastle-Ottawa Scale (NOS). Findings are presented through a narrative synthesis and meta-analysis. Meta-analyses were performed exclusively when there was a minimum of three studies examining identical pollutant-health outcome pairs, all evaluating equivalent increments in pollutant concentration, using a random effects model.
    UNASSIGNED: 24 observational studies conducted in 13 countries or regions were identified. Pollutants under investigation encompassed ozone (O3), nitrogen dioxide (NO2), Particulate matter with diameters of 10 micrometers or less (PM10) and 2.5 micrometers or less (PM2.5), sulfur dioxide (SO2), carbon monoxide (CO), nitric oxide (NO) and nitrogen oxides (NOx). We conducted meta-analyses to assess the estimated Risk Ratios (RRs) for acute exacerbations (AE)-IPF in relation to exposure to every 10 μg/m3 increment in air pollutant concentrations, including O3, NO2, PM10, and PM2.5. The meta-analysis revealed a significant association between the increased risk of AE-IPF in PM2.5, yielding RR 1.94 (95% CI 1.30-2.90; p = 0.001). Findings across all the included studies suggest that increased exposure to air pollutants may be linked to a range of health issues in individuals with ILDs.
    UNASSIGNED: A scarcity of available studies on the air pollutants and ILD relationship underscores the imperative for further comprehensive research in this domain. The available data suggest that reducing levels of PM2.5 in the atmosphere could potentially reduce AE frequency and severity in ILD patients.
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