首页> 外文期刊>Journal of Environmental Science and Health >Human exposure to unconventional natural gas development: A public health demonstration of periodic high exposure to chemical mixtures in ambient air
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Human exposure to unconventional natural gas development: A public health demonstration of periodic high exposure to chemical mixtures in ambient air

机译:人类暴露于非常规天然气开发中:一次公共卫生演示,表明定期高暴露于环境空气中的化学混合物

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Directional drilling and hydraulic fracturing of shale gas and oil bring industrial activity into close proximity to residences, schools, daycare centers and places where people spend their time. Multiple gas production sources can be sited near residences. Health care providers evaluating patient health need to know the chemicals present, the emissions from different sites and the intensity and frequency of the exposures. This research describes a hypothetical case study designed to provide a basic model that demonstrates the direct effect of weather on exposure patterns of particulate matter smaller than 2.5 microns (PM2.5) and volatile organic chemicals (VOCs). Because emissions from unconventional natural gas development (UNGD) sites are variable, a short term exposure profile is proposed that determines 6-hour assessments of emissions estimates, a time scale needed to assist physicians in the evaluation of individual exposures. The hypothetical case is based on observed conditions in shale gas development in Washington County, Pennsylvania, and on estimated emissions from facilities during gas development and production. An air exposure screening model was applied to determine the ambient concentration of VOCs and PM2.5 at different 6-hour periods of the day and night. Hourly wind speed, wind direction and cloud cover data from Pittsburgh International Airport were used to calculate the expected exposures. Fourteen months of daily observations were modeled. Higher than yearly average source terms were used to predict health impacts at periods when emissions are high. The frequency and intensity of exposures to PM2.5 and VOCs at a residence surrounded by three UNGD facilities was determined. The findings show that peak PM2.5 and VOC exposures occurred 83times over the course of 14 months of well development. Among the stages of well development, the drilling, flaring and finishing, and gas production stages produced higher intensity exposures than the hydraulic fracturing stage. Over one year, compressor station emissions created 118 peak exposure levels and a gas processing plant produced 99 peak exposures over one year. The screening model identified the periods during the day and the specific weather conditions when the highest potential exposures would occur. The periodicity of occurrence of extreme exposures is similar to the episodic nature of the health complaints reported in Washington County and in the literature. This study demonstrates the need to determine the aggregate quantitative impact on health when multiple facilities are placed near residences, schools, daycare centers and other locations where people are present. It shows that understanding the influence of air stability and wind direction is essential to exposure assessment at the residential level. The model can be applied to other emissions and similar sites. Profiles such as this will assist health providers in understanding the frequency and intensity of the human exposures when diagnosing and treating patients living near unconventional natural gas development.
机译:页岩气和油的定向钻井和水力压裂使工业活动非常靠近住宅,学校,日托中心和人们度过时光的地方。可以在住宅附近找到多个天然气生产源。评估患者健康的医疗保健提供者需要了解所存在的化学物质,不同场所的排放以及暴露的强度和频率。这项研究描述了一个假设的案例研究,旨在提供一个基本模型,该模型演示了天气对小于2.5微米(PM2.5)的颗粒物和挥发性有机化学品(VOC)的暴露方式的直接影响。由于来自非常规天然气开发(UNGD)场所的排放物是可变的,因此建议采用短期接触曲线来确定6个小时的排放量评估,这是协助医生评估个人暴露量所需的时间尺度。该假设案例基于宾夕法尼亚州华盛顿县页岩气开发中观察到的条件,以及天然气开发和生产过程中设施的估计排放量。应用空气暴露筛选模型来确定白天和晚上不同6小时周期内的VOC和PM2.5的环境浓度。使用匹兹堡国际机场的每小时风速,风向和云量数据来计算预期的暴露量。模拟了十四个月的日常观察。高于每年平均排放源的术语被用来预测高排放时期对健康的影响。确定了被三个UNGD设施包围的住宅中PM2.5和VOC暴露的频率和强度。研究结果表明,在良好发育的14个月中,PM2.5和VOC的峰值暴露发生了83次。在油井开发阶段中,钻探,扩口和精加工以及天然气生产阶段所产生的强度暴露要高于水力压裂阶段。在一年多的时间里,压缩机站的排放量产生了118个峰值暴露水平,而一家天然气加工厂在一年内产生了99个峰值暴露水平。筛选模型确定了一天中的时段以及发生最高潜在暴露的特定天气条件。极端暴露的发生周期与华盛顿县和文献报道的健康投诉的发作性相似。这项研究表明,当在住宅,学校,日托中心和其他有人居住的地方附近放置多个设施时,需要确定对健康的总体量化影响。它表明,了解空气稳定性和风向的影响对于住宅级别的暴露评估至关重要。该模型可以应用于其他排放和类似地点。这样的配置文件将有助于健康提供者在诊断和治疗生活在非常规天然气开发附近的患者时,了解人类暴露的频率和强度。

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