The Evaluation of CMB Receptor Model Analysis by Simulated Samples with ICP-MS

• Main Authors: Lin, Cha-Cho, 林嘉洲
• Other Authors: Chu-Fang Wang
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/30000560554231765746

碩士 === 國立清華大學 === 原子科學系 === 85 === Four different standard reference materials (SRM), including urban particulate matter (NIST SRM 1648), city waste incineration ash (BCR No. 176), San Joaquin soil (NIST SRM 2709) and coal fly ash (NIST SRM 1633b), were used to prepare standard filter samples for testing the effectiveness of receptor model in air pollution studies. Mixed standard filters were digested and analyzed to determine the concentrations of over twenty elements. Based on the obtained chemical data, the CMB receptor model analysis was performed to identify the compositions of simulated pollution sources on the filters.Capabilities of the receptor model in real sample analysis is therefore examined. It was found that factors to cause the analysis error can be classified into three categories: (a) the selected analytical methods; (b) fluctuations of analytical results; and (c) co- linearity problem of the CMB Model. Several solutions are proposed to reduce such errors, including the identification of arker elements", improvement of the analytical fluctuations and conciliation of pollution sources. Experimental results show that only a maximum of 20 % errors can be achieved for the major pollution sources ( > 25%) and 50% for minor pollution sources (<10%).The feasibilities of laser ablated inductively coupled plasma mass spectrometry (LA-ICP-MS) analytical techniques applied for receptor model analysis were also developed. It demonstrated that the direct mass spectra obtained from air samples as well as pollution sources can be employed for CMB receptor analysis.