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

机译:案例研究调查燃煤发电厂附近监测的SO_2浓度:静止监测模拟比较

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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,美国环保局颁布了SO_2与1小时的平均时间更加严格的环境标准。美国EPA的实现这个新标准的考虑了两个监测和建模方法,该机构计划以解决大量二氧化硫来源在未来几年内有混合的方法,其中可能包括建模和监控的结合。然而,一些利益相关者赞成为1小时二氧化硫国家环境空气质量标准(NAAQS)达标示范建模方法。在任何时候峰值发射率建模可指示模拟NAAQS违规行为没有违反监控领域。起重机和瓦格纳发电站:这种类型的结果是由环境部马里兰州(MDE)在巴尔的摩2燃煤电厂注意到,MD面积由乌鸦动力操作。尽管建模NAAQS违规,可能与恒定峰值排放非常保守的假设来报告,发现在该地区的监视器建模,预测浓度超标二氧化硫测量超过5倍。这也很明显该峰值预测浓度在切萨皮克湾的地方有没有居民。在2013年夏天,环境马里兰部(MDE)问乌鸦电源,以保证机构,实际监测将表明与1小时的二氧化硫NAAQS合规性(在矛盾保守的模拟结果)。乌鸦电源分两个阶段进行的监测研究,并辅以还用实际排放量建模研究。初始监测阶段,持续一周,涉及一组放置在货车移动分析仪和船只顺风植物的测量浓度正在研究中。在此阶段期间所测量的浓度通常要比建模结果降低。第二监测阶段持续了大约两个月,在总共四个固定位置(在陆地上在居民区),建模的基础和监测研究的第一阶段就选定由测量。本文通过检查模型输出相比较,以在四个监测点所测量的浓度,在每个监视器进行了深入的分析中选择的时段,以及在讨论模型性能第二监视阶段的结果总结。

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