A study of the sources of ambient particulates at three air monitoring stations in northern Taiwan

碩士 === 國立交通大學 === 環境工程系所 === 102 === To characterize the sources around three urban stations, characteristics of PM10, PM2.5 and PM0.1 were evaluated in three ambient monitoring stations (i.e., Zhongshan, Sinjhuang, and Jhudong) in Taiwan. The samples were collected by using MOUDI (Micro-Orifice Uni...

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Bibliographic Details
Main Authors: Wei, Han, 危涵
Other Authors: Tsai, Chuen-Jinn
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/82190826528493681828
Description
Summary:碩士 === 國立交通大學 === 環境工程系所 === 102 === To characterize the sources around three urban stations, characteristics of PM10, PM2.5 and PM0.1 were evaluated in three ambient monitoring stations (i.e., Zhongshan, Sinjhuang, and Jhudong) in Taiwan. The samples were collected by using MOUDI (Micro-Orifice Uniform Deposit Impactor, MSP Model 110) and a Dichotomous sampler (Andersen Model SA-241) during May 2011 to June 2013 in the stations. In Zhongshan the average concentrations of PM10, PM2.5 and PM0.1 were 31.1 ± 12.6, 19.7 ± 9.3 and 1.5 ± 0.6 µg m-3, respectively. In Sinjhuang the average concentrations were 32.2 ± 16.1, 17.9 ± 8.8 and 1.2 ± 0.5 µg m-3, respectively. In Jhudong the average concentrations were 29.7 ± 10.3, 14.5 ± 6.6 and 0.9 ± 0.5 µg m-3, respectively. The aim of our research was to characterize the sources around three urban stations. The chemical speciation including crustal matter, trace elements and ions were analyzed. We judge the characteristics of pollution sources by analyzing the percentage of crustal matter and trace elements in total mass. In terms of water soluble ions, the result of component analysis indicates that the secondary pollutant plays an important role in air quality. Based on the chemical information, positive matrix factorization (PMF) was used to identify PM sources. Five sources which are soil dust, vehicle emissions, sea salt, industrial emissions and secondary aerosols were identified to be important. Furthermore, their contributions were intensively estimated. Further conditional probability function (CPF) was used to examine the potential location of identified sources after applying the PMF modeling. Crustal enrichment factors (cEF) were calculated for trace elements to identify the nature of sources. The result indicates that fine particles relating to anthropogenic sources play an important role in the urban atmosphere.