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Quantification and delineation of the nonattainment boundary for fine particulate matter: Using geographic information system (GIS), remote sensing data, and in situ monitoring.

机译:细颗粒物非获取边界的量化和划定:使用地理信息系统(GIS),遥感数据和原位监测。

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This dissertation describes the work of developing a tool for use in delineating the boundaries of nonattainment areas as defined by the Clean Air Act. The weakness of the ambient monitoring system is discussed, and the need for an advanced method for pollutant assessment is concluded. The task was to utilize the existing particulate matter (PM) data and augment with satellite aerosol optical depth (AOD) to enhance the boundary determination of these nonattainment areas. The integration was accomplished by geostatistical kriging. The PM data were used as the base layer and AOD was used as a covariate to create a map showing the probability of exceeding the current 15 mug/m 3 standard. No study had previously reported results nationwide over a period of three years so this study of satellite and ground monitors offered the opportunity to test the reliability of both the satellite and the ground networks.; In the study area, the correlations between PM and AOD are best in the summer months, and are especially poor in the spring and fall. The annual data correlated well in the northeastern quadrant and typically very poor in the west. Given the variability of the correlations it would be ill-advised to use AOD alone as a predictor of fine particle mass. To improve the geospatial prediction of the extent of aerosol in unmonitored areas, satellite AOD data from the MODerate-resolution Imaging Spectroradiometer (MODIS) sensor may be used to fill in the gaps where emissions may occur without adequate ground monitors. Finally, the estimate of fine particle airsheds by season is enhanced by having an area-wide measure of aerosols to fill in the gaps in rural areas of the country deficient in monitors. The research suggests that the question of locating ground monitors in polluted areas would be aided by using MODIS AOD, as well as the ability to identify sources for pollution enforcement. Monitoring the PM2.5 24-hr standard with daily retrieval from the MODIS sensor could be achieved by monitoring intermittent natural events such as forest fires and transboundary air pollution episodes. Given that U.S. policy toward pollution enforcement is determined by the fixed network of monitors, and health exposure studies depend on a better representation of ambient conditions, the addition of daily tracking of air quality would be welcome in the air pollution policy arena.
机译:本论文描述了根据《清洁空气法》所定义的工具,用于划定未达标区域的边界。讨论了环境监测系统的弱点,并总结了对高级污染物评估方法的需求。任务是利用现有的颗粒物(PM)数据并利用卫星气溶胶光学深度(AOD)进行增强,以增强对这些未达标区域的边界确定。整合是通过地统计克里金法完成的。将PM数据用作基础层,将AOD用作协变量以创建显示超出当前15杯/ m 3标准的概率的图。之前三年都没有研究报告全国范围的结果,因此这项对卫星和地面监测器的研究提供了测试卫星和地面网络可靠性的机会。在研究区域,PM和AOD之间的相关性在夏季最好,而在春季和秋季尤其弱。年度数据在东北象限具有良好的相关性,而在西部通常很差。考虑到相关性的可变性,建议不要单独使用AOD作为细颗粒质量的预测指标。为了改进对未监测区域中气溶胶范围的地理空间预测,可使用现代分辨率成像光谱辐射仪(MODIS)传感器提供的卫星AOD数据来填补可能没有适当地面监测器而可能发生排放的空白。最后,通过对气溶胶进行区域范围的测量以填补该国缺乏监测员的农村地区的空白,可以按季节对细颗粒物的估算进行估算。研究表明,使用MODIS AOD以及识别污染源的能力将有助于在污染区域内放置地面监测仪的问题。通过监控间歇性自然事件(例如森林火灾和越境空气污染事件),可以每天通过MODIS传感器检索24小时PM2.5标准。鉴于美国的污染执法政策是由固定的监控器网络确定的,而健康暴露研究取决于更好地反映环境状况,因此在空气污染政策领域增加对空气质量的每日跟踪将是受欢迎的。

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