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Case Study to Investigate Monitored SO_2 Concentrations Near Coal-Fired Power Plants: Stationary Monitor to Model Comparison

机译:研究燃煤电厂附近SO_2浓度监测的案例研究:用于模型比较的固定监测器

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In 2010, the U.S. EPA promulgated a much more stringent ambient standard for SO_2 with a 1-hour averaging time. U.S. EPA's implementation of this new standard has considered both monitoring and modeling approaches, and the agency plans to address large SO_2 sources over the next few years with a hybrid approach that could include a combination of modeling and monitoring. However, some stakeholders favor the modeling approach for the 1-hour SO_2 National Ambient Air Quality Standards (NAAQS) compliance demonstrations. Modeling with peak emission rates at all times can indicate simulated NAAQS violations in areas with no monitored violations. This type of result was noticed by the Maryland Department of the Environment (MDE) for two coal-fired power plants in the Baltimore, MD area operated by Raven Power: the Crane and Wagner Generating Stations. In spite of modeled NAAQS violations that could be reported with the grossly conservative assumption of constant peak emissions, it was found that at a monitor in the area being modeled, the predicted concentrations exceeded SO_2 measurements by over a factor of 5. It was also evident that the peak predicted concentrations were at areas in the Chesapeake Bay where there are no inhabitants. In the summer of 2013, the Maryland Department of the Environment (MDE) asked Raven Power to assure the agency that actual monitoring would indicate compliance with the 1-hour SO_2 NAAQS (in contradiction to conservative modeling results). Raven Power conducted the monitoring study in two phases, and also supplemented the study with modeling using actual emissions. The initial monitoring phase, lasting one week, involved a set of mobile analyzers placed in vans and on boats to measure concentrations downwind of the plants being studied. The measured concentrations during this phase were generally much lower than the modeling results. A second monitoring phase lasted approximately two months and consisted of measurements at a total of four stationary locations (on land in populated areas), selected on the basis of modeling and the first phase of the monitoring study. This paper summarizes the results of the second monitoring phase by examining the model output in comparison to the measured concentrations at the four monitoring sites, conducting an in-depth analysis for selected periods at each monitor, and discussing the model performance.
机译:2010年,美国EPA颁布了更为严格的SO_2环境标准,平均时间为1小时。美国EPA实施此新标准已考虑了监视和建模方法,并且该机构计划在未来几年内采用混合方法来解决大型SO_2来源,其中可能包括建模和监视的组合。但是,一些利益相关者赞成1小时SO_2国家环境空气质量标准(NAAQS)符合性演示的建模方法。始终以峰值排放率进行建模可以表明在没有监控违规的区域中模拟了NAAQS违规。马里兰州环境部(MDE)注意到,由Raven Power运营的马里兰州巴尔的摩地区的两个燃煤发电厂(起重机和瓦格纳发电站)注意到了这种结果。尽管对模型的NAAQS违规行为可以通过严格保守地假设恒定峰值排放来报告,但发现在被建模区域的监测器中,预测浓度超过SO_2测量值达5倍以上。这也很明显预测的峰值浓度是在切萨皮克湾没有居民的地区。 2013年夏天,马里兰州环境部(MDE)要求Raven Power向该机构保证,实际监测将表明符合1小时SO_2 NAAQS(与保守的建模结果相矛盾)。 Raven Power分两个阶段进行了监测研究,并通过使用实际排放量进行建模对研究进行了补充。最初的监视阶段为期一周,涉及一组移动分析仪放置在货车和船上,以测量所研究植物的顺风方向浓度。在此阶段测得的浓度通常远低于建模结果。第二个监测阶段持续了大约两个月,包括对总共四个固定位置(在人口稠密地区的陆地上)的测量,这些测量是根据建模和监测研究的第一阶段选择的。本文通过将模型输出与四个监测点的测量浓度进行比较,总结了第二个监测阶段的结果,对每个监测器的选定时间段进行了深入分析,并讨论了模型的性能。

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