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Disentangling Impacts of Multiple Nitrogen Dioxide Sources in an Urban Industrial Area

机译:消除城市工业区中多种二氧化氮源的影响

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Air pollution monitoring campaigns support policy development and health effects research. To our knowledge, however, there have been few such campaigns in Philadelphia, and none have been designed to comprehensively evaluate pollution levels across the entire city. As an industrial city with a variety of pollutant sources, Philadelphia is an important setting for such a targeted program. We developed a spatially saturated monitoring campaign to separate impacts of different sources of Nitrogen Dioxide (NO2) (e.g., traffic, port activity) throughout the city. NO2 was monitored across Philadelphia for a two-week period (January 15th to January 29th, 2018) using Ogawa passive samplers. Samplers were placed 8-9 feet high on telephone poles. A total of 50 sites were selected. Selection methods varied, but were based on maximizing spatial variability in NO2 concentrations. Thirty-two were selected using a stratified random sampling approach with geographic information system based indicators of traffic density, proximity to navigable riverways, and population density, all dichotomized at the 80th percentile. Fourteen sites were chosen at varying distances upwind and downwind of a petroleum refinery and the Philadelphia International Airport. Four reference sites were chosen-two in city parks, one in a suburb upwind of Philadelphia, and one within close proximity of an Air Quality System (AQS) regulatory monitor. The mean NO2 concentration across all monitoring sites was 22.79 parts per billion (ppb) (SD=3.75 ppb, min=10.48 ppb, max=30.12 ppb). A subset of sites will continue to be monitored every two weeks throughout 2018. Concentrations will be modeled using land use regression models to predict concentrations at unmonitored locations. This data will be used in future epidemiologic studies of effects of air pollution and other urban exposures on adverse health outcomes, including pediatric asthma.
机译:空气污染监测运动支持政策制定和健康影响研究。据我们所知,在费城很少有这样的运动,而且还没有旨在全面评估整个城市的污染水平的运动。费城作为一个拥有多种污染物来源的工业城市,是实现这一目标计划的重要场所。我们开展了一项空间饱和的监测活动,以区分整个城市中不同来源的二氧化氮(NO2)的影响(例如交通,港口活动)。使用Ogawa被动采样器在费城全境进行了为期两周(2018年1月15日至1月29日)的NO2监测。采样器放在电线杆上8-9英尺高。总共选择了50个站点。选择方法各不相同,但是基于最大化NO2浓度的空间变异性。使用分层随机抽样方法,通过基于地理信息系统的交通密度,通航河道和人口密度的指标,在​​第80个百分位数中二分,选择了32个。在石油精炼厂和费城国际机场的上,下风的不同距离处选择了14个站点。选择了四个参考地点,其中两个在城市公园,一个在费城郊区,在空气质量系统(AQS)监管监控器附近。所有监测站点的平均NO2浓度为十亿分之22.79(ppb)(SD = 3.75 ppb,最小值= 10.48 ppb,最大值= 30.12 ppb)。在整个2018年中,将继续每两周对一部分站点进行一次监视。将使用土地利用回归模型对浓度进行建模,以预测未监视位置的浓度。该数据将用于未来的流行病学研究,研究空气污染和其他城市暴露对不良健康后果(包括小儿哮喘)的影响。

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