Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model

碩士 === 國立中興大學 === 環境工程學系所 === 97 === Government will build a Central Taiwan Science Park in Erlin area and may also build a Power Plant in Lukang area in the future. In order to investigate the characteristics of aerosol particles and to understand the sources of the aerosol pollutants in these area...

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Main Authors: Chien-Han Li, 李建翰
Other Authors: 鄭曼婷
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/50820762393476843136
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spelling ndltd-TW-097NCHU50870512015-11-13T04:04:45Z http://ndltd.ncl.edu.tw/handle/50820762393476843136 Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model 應用CMB受體模式解析鹿港及二林地區大氣懸浮微粒的污染源貢獻量 Chien-Han Li 李建翰 碩士 國立中興大學 環境工程學系所 97 Government will build a Central Taiwan Science Park in Erlin area and may also build a Power Plant in Lukang area in the future. In order to investigate the characteristics of aerosol particles and to understand the sources of the aerosol pollutants in these areas, we had used the High Volume Air Samplers were used to collect PM2.5 and PM2.5-10 aerosols at Lukang and Erlin sampling sites. The sampling experiments were conducted during the periods from 11/24-12/7 in 2008 and 4/27-5/3 in 2009. The samples were then further analyzed for water soluble ions, elemental carbon, organic carbon by using ion chromatograph and elemental analyzer. Finally a chemical mass balance receptor model was used to evaluate the source contributions. Experimental results showed the major fraction in the ambient particles was contributed by fine particles in these areas. The particulate mainly consisted of sulfate, nitrate, ammonium and carbonaceous components. During the PM2.5 episodic events, the PM2.5 concentrations in these two places increased about 2.4 times as compared to those in normal days. Among the increased species, nitrate concentrations increased 4.4 times. The significant increase of nitrate contents might be contributed by the vehicle emissions. In the analysis of sulphur oxidation ratio, the sulphur oxidation ratios of PM2.5 obtained in Erlin area in winter were higher than those in Lukang area. The results obtained by using the CMB modeling showed a similar pattern on the source contributions to PM2.5 and PM2.5-10 for these two areas. Vehicle emissions, sulphate and nitrate were the major sources for PM2.5. But for PM2.5-10, the major sources were crustal materials, vehicle emissions and marine spray. Therefore the sources of PM10 mainly attributed from vehicle emissions, sulphate and nitrate. During winter season, the high wind speed easily caused the wind-blown soil dust. Thus, a large portion of source contributions came from crustal materials. On the contrary, the wind speed was relatively lower in spring, and the pollutants were poorly dispersed. Therefore, the major sources were sulphate and nitrate. The results showed that the average concentration of nitrate during the PM2.5 episodic periods was 3 times higher than that obtained during non-episodic days. The data also showed a river dust event occurred on the fifth of December in Erlin area. In this event, the crustal elements contributed the major fraction in PM2.5-10, and were about 4 times higher than those observed during the normal days. 鄭曼婷 2009 學位論文 ; thesis 135 zh-TW
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description 碩士 === 國立中興大學 === 環境工程學系所 === 97 === Government will build a Central Taiwan Science Park in Erlin area and may also build a Power Plant in Lukang area in the future. In order to investigate the characteristics of aerosol particles and to understand the sources of the aerosol pollutants in these areas, we had used the High Volume Air Samplers were used to collect PM2.5 and PM2.5-10 aerosols at Lukang and Erlin sampling sites. The sampling experiments were conducted during the periods from 11/24-12/7 in 2008 and 4/27-5/3 in 2009. The samples were then further analyzed for water soluble ions, elemental carbon, organic carbon by using ion chromatograph and elemental analyzer. Finally a chemical mass balance receptor model was used to evaluate the source contributions. Experimental results showed the major fraction in the ambient particles was contributed by fine particles in these areas. The particulate mainly consisted of sulfate, nitrate, ammonium and carbonaceous components. During the PM2.5 episodic events, the PM2.5 concentrations in these two places increased about 2.4 times as compared to those in normal days. Among the increased species, nitrate concentrations increased 4.4 times. The significant increase of nitrate contents might be contributed by the vehicle emissions. In the analysis of sulphur oxidation ratio, the sulphur oxidation ratios of PM2.5 obtained in Erlin area in winter were higher than those in Lukang area. The results obtained by using the CMB modeling showed a similar pattern on the source contributions to PM2.5 and PM2.5-10 for these two areas. Vehicle emissions, sulphate and nitrate were the major sources for PM2.5. But for PM2.5-10, the major sources were crustal materials, vehicle emissions and marine spray. Therefore the sources of PM10 mainly attributed from vehicle emissions, sulphate and nitrate. During winter season, the high wind speed easily caused the wind-blown soil dust. Thus, a large portion of source contributions came from crustal materials. On the contrary, the wind speed was relatively lower in spring, and the pollutants were poorly dispersed. Therefore, the major sources were sulphate and nitrate. The results showed that the average concentration of nitrate during the PM2.5 episodic periods was 3 times higher than that obtained during non-episodic days. The data also showed a river dust event occurred on the fifth of December in Erlin area. In this event, the crustal elements contributed the major fraction in PM2.5-10, and were about 4 times higher than those observed during the normal days.
author2 鄭曼婷
author_facet 鄭曼婷
Chien-Han Li
李建翰
author Chien-Han Li
李建翰
spellingShingle Chien-Han Li
李建翰
Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
author_sort Chien-Han Li
title Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
title_short Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
title_full Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
title_fullStr Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
title_full_unstemmed Source Apportionment of Ambient Particulates in Lukang and Erlin Areas by using CMB receptor Model
title_sort source apportionment of ambient particulates in lukang and erlin areas by using cmb receptor model
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/50820762393476843136
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