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Should Particle Size Analysis Data be Combined with EPA Approved Sampling Method Data in the Development of AP-42 Emission Factors?

机译:粒子尺寸分析数据应与EPA批准的采样方法数据组合在开发AP-42排放因子中吗?

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A cotton ginning industry-supported project was initiated in 2008 and completed in 2013 to collect addfcional data for U.S. Environmental Protection Agency's (EPA) Compilation of Air Pollution Emission Factors (AP-42) for PM10 and PM2.5. Stack emissions were collected using particle size distribution analysis (PSD), a non-approved EPA sampling method, on samples collected using EPA's Method 17. This study focused on determining whether PSD data collected by the industry-supported project (hereafter referred to as "National Study") should be combined with data collected with EPA-approved methods using EPA's 2013 Emission Factor Development Procedures. When compared to emissions factor developed from the National Study EPA-approved methods, emission factors developed from PSD data were an average 49.3% lower for PM10 and 75.2% for PM2 5 for the 17 ginning systems tested. However, when the datasets were combined, no test runs or method averages were found to be outliers. This indicates that the datasets should be combined for emission factor development.
机译:棉花产业支持的项目于2008年开始,于2013年完成,为PM10和PM2.5收集美国环境保护局(EPA)汇编的美国环境保护局(EPA)汇编的地产数据。使用粒度分布分析(PSD),非批准的EPA采样方法收集堆积排放,使用EPA方法收集的样品。该研究致力于确定由业界支持的项目收集的PSD数据(以下简称为“)国家研究“)应使用EPA 2013年度排放因子开发程序将与EPA批准的方法收集的数据相结合。与从国家研究EPA批准的方法开发的排放因子相比,PMD数据开发的排放因子平均为PM10和75.2%的PM2 5所测试的PM2 5降低的49.3%。但是,当组合数据集时,没有发现测试运行或方法平均值是异常值。这表明数据集应组合用于排放因子开发。

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