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Positive Matrix Factorization and Data Quality Assessment of EPA's PM_(2.5) Chemical Speciation Network Derived from Six Collocated CSN Sites for the Period 2010-2013

机译:EPA的PM_(2.5)化学品质网络的正矩阵分解和数据质量评估来自2010 - 2013年期间的六个分配CSN站点

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1. RCM Results 1.1 Underestimates measured mass (70-87%) 1.2 No attempt to determine organic material (OM) from OC 1.3 Not blank corrected 1.4 Primary and collocated RCM seem to agree well 1.5 Influenced primarily by 'major' constituents 1.6. Not a true material balance. 2. PMF Results 2.1 "Best" fits with 4-6 factors (robust mode PMF2 with no rotations) 2.2 Accounts for 90-98% of measured mass 2.3 Reasonably consistent results between primary and collocated samplers 2.3.1 Same factors 2.3.2 Dust for collocated sampler at Rubidoux and exception 2.4 Sources seem highly mixed, presenting challenges for PMF to separate them 2.4.1 Coal + oil roughly equal for Roxbury primary and collocated samplers, but for primary sampler coal is ~1/3 of combination while for the collocated sampler it is ~2/3 2.4.2 May be result of uncertainty in "tracer" elements in factor (e.g., Se for coal & V for oil) 2.4.3 Has implications for trying to optimize control strategy abatement costs.
机译:1. RCM结果1.1低估测量质量(70-87%)1.2无需确定OC 1.3的有机物质(OM)而不是空白校正1.4初级和并置RCM似乎同意1.5主要受“主要”成分1.6的影响。不是真正的重大平衡。 2. PMF结果2.1“最佳”适合4-6个因素(无旋转的强大模式PMF2)2.2占据90-98%的测量质量2.3主要和配件采样器之间的结果2.3.1相同的因素2.3.2灰尘对于Rubidoux的并置采样器和例外2.4来源似乎高度混合,提出了PMF的挑战,将其分离2.4.1煤炭+油大致相等为ROXBURY初级和搭配采样器,但对于初级采样煤是〜1/3的组合搭配采样器是〜2/3 2.4.2可能是“示踪剂”元素的不确定因子(例如,用于油的煤和v的SE)2.4.3对试图优化控制策略减少成本有影响。

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