Reverse modeling of source markers based on receptor model and source profiles
PENG Xing, SHI Xu-rong, SHI Guo-liang, TIAN Ying-ze, DONG Shi-hao, FENG Yin-chang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
Abstract：Source markers are very important for apportioning the particulate matter sources. However, some markers like aluminum and silicium could not be measured by online instruments,which might increase the uncertainty of source apportionment results. To figure out this problem, this work proposed a new inverse method to estimate Al and Si concentrations base on PMF (Positive Matrix Factorization) and measured source profiles. Several simulation experiments was designed to estimate the performance of the new method. Three input data, including data without Al and Si, data with reversed Al and Si, data with Al and Si, were setup and run separately by PMF, the calculated source profiles and contributions were compared with the corresponding true values. The results show that running model without Al and Si data increases uncertainties of results, and the new method can improve the model performance, for some cases.
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