Characteristic of Atmospheric Particulate Matters in an Industry Intensive Region

• Main Authors: CHEN, TING-YU, 陳亭妤
• Other Authors: PENG, YEN-PING
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/dwerb9

碩士 === 東海大學 === 環境科學與工程學系 === 106 === Atmospheric particulate matters (PMs) were collected in an industry intensive region in central Taiwan in order to investigate the characteristics and possible sources of PMs. The samplings were simultaneously conducted by using 10 and 3 stage Micro Orifice Uniform Deposit Impactor (MOUDI) in four seasons from December 2016 to February 2018. In this study, characteristics of PMs in this region were evaluated by measuring the mass concentration of PMs and analyzing the water-soluble ions, metal elements and dioxins. Additionally, principal component analysis (PCA) was used to identify the potential sources of PMs. The results showed that the concentration of coarse (>1.8 μm), fine (0.1-1.8 μm) and ultrafine (<0.1 μm) particles ranged from 3.70~20.83 μg/m3, 5.09~28.47 μg/m3 and 1.16~11.34 μg/m3, respectively. Mean concentration of PMs were 13.60, 14.38, 3.44 μg/m3 for coarse, fine and ultrafine particles during sampling periods. In the industry intensive region, the size distribution of ambient particles showed bi-modal and tri-modal distribution. The size distribution of PMs were mainly contributed by coarse particles in spring and summer, while fine particles were dominant species in autumn and winter. The dominant water-soluble ions of PMs were NO3-, Cl- and SO42-. The size distributions of Na+, NH4+, Ca2+, Mg2+, Cl- and SO42- exihibited unimodal distribution, while only K+ and NO3- displayed bimodal distributions. The order of major metal elements of coarse and fine particles was Fe > Al > K > Mg > Ca > Na and Al > K > Na > Ca > Fe > Mg, respectively. The concentration of dioxins in the atmosphere ranged from 0.0006~0.0017 pg I-TEQ/Nm3, and mean concentration of dioxins was 0.001 pg I-TEQ/Nm3. The results of Principal Component Analysis (PCA) revealed that the contribution to PMs were associated with sea salt, secondary pollutants, traffic emissions, biomass burning, industrial process and road dust.