ESTIMATING SOURCE APPORTIONMENT OF PARTICULATE MATTERS BASED ON SOURCE PROFILES WITH FLUCTUATIONS

✍ Scribed by MEGU OHTAKI; MANABU SATO; HIROSHI NITTA

• Book ID: 101277713
• Publisher: John Wiley and Sons
• Year: 1997
• Tongue: English
• Weight: 150 KB
• Volume: 8
• Category: Article
• ISSN: 1180-4009
• DOI: 10.1002/(sici)1099-095x(199707)8:4<341::aid-env256>3.0.co;2-p

✦ Synopsis

We propose a statistical method for estimating source apportionment of particulate matters based on source pro®les with ¯uctuations. Previous methods for estimating source apportionment are based on the assumption that source pro®les are to be constant. This assumption does not seem to describe precisely the real world, however. For example, it is to be expected that the pro®les of tobacco have sharp ¯uctuations, because they depend on various factors such as ventilation, kinds of cigarettes, and pung. Considering this situation, we develop a new model and a simple estimating method which allows source pro®les to have ¯uctuations. We illustrate our method using real data sets which are strati®ed with smoking status. The proposed method provides reasonable results.