請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90613完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蕭大智 | zh_TW |
| dc.contributor.advisor | Ta-Chih Hsiao | en |
| dc.contributor.author | 詹智宇 | zh_TW |
| dc.contributor.author | Chih-Yu Chan | en |
| dc.date.accessioned | 2023-10-03T16:51:49Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-10-03 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-08-11 | - |
| dc.identifier.citation | Bohren, C. F., & Huffman, D. R. (2008). Absorption and scattering of light by small particles. John Wiley & Sons.
Bond, T. C., & Bergstrom, R. W. (2007). Light Absorption by Carbonaceous Particles: An Investigative Review. Aerosol Science and Technology, 40(1), 27-67. https://doi.org/10.1080/02786820500421521 Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M., Venkataraman, C., Zhang, H., Zhang, S., . . . Zender, C. S. (2013). Bounding the role of black carbon in the climate system: A scientific assessment. Journal of Geophysical Research: Atmospheres, 118(11), 5380-5552. https://doi.org/10.1002/jgrd.50171 Cao, J.-j., Wang, Q.-y., Chow, J. C., Watson, J. G., Tie, X.-x., Shen, Z.-x., Wang, P., & An, Z.-s. (2012). Impacts of aerosol compositions on visibility impairment in Xi'an, China. Atmospheric Environment, 59, 559-566. https://doi.org/10.1016/j.atmosenv.2012.05.036 Chen, D., Zhao, Y., Zhang, J., Yu, H., & Yu, X. (2020). Characterization and source apportionment of aerosol light scattering in a typical polluted city in the Yangtze River Delta, China. Atmospheric Chemistry and Physics, 20(17), 10193-10210. https://doi.org/10.5194/acp-20-10193-2020 Cheng, Y. F., Wiedensohler, A., Eichler, H., Su, H., Gnauk, T., Brüggemann, E., Herrmann, H., Heintzenberg, J., Slanina, J., & Tuch, T. (2008). Aerosol optical properties and related chemical apportionment at Xinken in Pearl River Delta of China. Atmospheric Environment, 42(25), 6351-6372. https://doi.org/10.1016/j.atmosenv.2008.02.034 Cheng, Z., Jiang, J., Chen, C., Gao, J., Wang, S., Watson, J. G., Wang, H., Deng, J., Wang, B., Zhou, M., Chow, J. C., Pitchford, M. L., & Hao, J. (2015). Estimation of aerosol mass scattering efficiencies under high mass loading: case study for the megacity of Shanghai, China. Environ Sci Technol, 49(2), 831-838. https://doi.org/10.1021/es504567q Chow, J. C., Lowenthal, D. H., Chen, L. W., Wang, X., & Watson, J. G. (2015). Mass reconstruction methods for PM2.5: a review. Air Qual Atmos Health, 8(3), 243-263. https://doi.org/10.1007/s11869-015-0338-3 Clegg, S. L., Brimblecombe, P., & Wexler, A. S. (1998). Thermodynamic model of the system H+− NH4+− Na+− SO42-− NO3-− Cl-− H2O at 298.15 K. The Journal of Physical Chemistry A, 102(12), 2155-2171. Cuesta-Mosquera, A., Močnik, G., Drinovec, L., Müller, T., Pfeifer, S., Minguillón, M. C., Briel, B., Buckley, P., Dudoitis, V., Fernández-García, J., Fernández-Amado, M., Ferreira De Brito, J., Riffault, V., Flentje, H., Heffernan, E., Kalivitis, N., Kalogridis, A.-C., Keernik, H., Marmureanu, L., . . . Wiedensohler, A. (2021). Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: procedures and unit-to-unit variabilities. Atmospheric Measurement Techniques, 14(4), 3195-3216. https://doi.org/10.5194/amt-14-3195-2021 Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V. M., Petäjä, T., Su, H., Cheng, Y. F., Yang, X. Q., Wang, M. H., Chi, X. G., Wang, J. P., Virkkula, A., Guo, W. D., Yuan, J., Wang, S. Y., Zhang, R. J., Wu, Y. F., Song, Y., . . . Fu, C. B. (2016). Enhanced haze pollution by black carbon in megacities in China. Geophysical Research Letters, 43(6), 2873-2879. https://doi.org/10.1002/2016gl067745 Hand, J., Copeland, S., McDade, C., Day, D., Moore, J., Dillner, A., Pitchford, M., Indresand, H., Schichtel, B., & Malm, W. (2011). Spatial and seasonal patterns and temporal variability of haze and its constituents in the United States, IMPROVE Report V. Cooperative Institute for Research in the Atmosphere, Fort Collins. Huang, X., Ding, A., Gao, J., Zheng, B., Zhou, D., Qi, X., Tang, R., Wang, J., Ren, C., Nie, W., Chi, X., Xu, Z., Chen, L., Li, Y., Che, F., Pang, N., Wang, H., Tong, D., Qin, W., . . . He, K. (2021). Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China. National Science Review, 8(2), nwaa137. https://doi.org/10.1093/nsr/nwaa137 Huang, X., Ding, A., Wang, Z., Ding, K., Gao, J., Chai, F., & Fu, C. (2020). Amplified transboundary transport of haze by aerosol–boundary layer interaction in China. Nature Geoscience, 13(6), 428-434. https://doi.org/10.1038/s41561-020-0583-4 Kong, L., Xin, J., Gao, W., Tang, G., Wang, X., Wang, Y., Zhang, W., Chen, W., & Jia, S. (2021). A comprehensive evaluation of aerosol extinction apportionment in Beijing using a high-resolution time-of-flight aerosol mass spectrometer. Sci Total Environ, 783, 146976. https://doi.org/10.1016/j.scitotenv.2021.146976 Lan, Z., Zhang, B., Huang, X., Zhu, Q., Yuan, J., Zeng, L., Hu, M., & He, L. (2018). Source apportionment of PM(2.5) light extinction in an urban atmosphere in China. J Environ Sci (China), 63, 277-284. https://doi.org/10.1016/j.jes.2017.07.016 Leoni, C., Pokorna, P., Hovorka, J., Masiol, M., Topinka, J., Zhao, Y., Krumal, K., Cliff, S., Mikuska, P., & Hopke, P. K. (2018). Source apportionment of aerosol particles at a European air pollution hot spot using particle number size distributions and chemical composition. Environ Pollut, 234, 145-154. https://doi.org/10.1016/j.envpol.2017.10.097 Lesins, G., Chylek, P., & Lohmann, U. (2002). A study of internal and external mixing scenarios and its effect on aerosol optical properties and direct radiative forcing. Journal of Geophysical Research: Atmospheres, 107(D10), AAC 5-1-AAC 5-12. https://doi.org/10.1029/2001jd000973 Li, Y., Huang, H. X. H., Griffith, S. M., Wu, C., Lau, A. K. H., & Yu, J. Z. (2017). Quantifying the relationship between visibility degradation and PM2.5 constituents at a suburban site in Hong Kong: Differentiating contributions from hydrophilic and hydrophobic organic compounds. Sci Total Environ, 575, 1571-1581. https://doi.org/10.1016/j.scitotenv.2016.10.082 Li, Z., Sun, Y., Wang, Q., Xin, J., Sun, J., Lei, L., Li, J., Fu, P., & Wang, Z. (2022). Nitrate and secondary organic aerosol dominated particle light extinction in Beijing due to clean air action. Atmospheric Environment, 269. https://doi.org/10.1016/j.atmosenv.2021.118833 Lin, Z., Wang, Y., Zheng, F., Zhou, Y., Guo, Y., Feng, Z., Li, C., Zhang, Y., Hakala, S., Chan, T., Yan, C., Daellenbach, K. R., Chu, B., Dada, L., Kangasluoma, J., Yao, L., Fan, X., Du, W., Cai, J., . . . Kulmala, M. (2021). Rapid mass growth and enhanced light extinction of atmospheric aerosols during the heating season haze episodes in Beijing revealed by aerosol–chemistry–radiation–boundary layer interaction. Atmospheric Chemistry and Physics, 21(16), 12173-12187. https://doi.org/10.5194/acp-21-12173-2021 Lin, Z. J., Tao, J., Chai, F. H., Fan, S. J., Yue, J. H., Zhu, L. H., Ho, K. F., & Zhang, R. J. (2013). Impact of relative humidity and particles number size distribution on aerosol light extinction in the urban area of Guangzhou. Atmospheric Chemistry and Physics, 13(3), 1115-1128. https://doi.org/10.5194/acp-13-1115-2013 Liou, K.-N. (2002). An introduction to atmospheric radiation (Vol. 84). Elsevier. Liu, J., Ren, C., Huang, X., Nie, W., Wang, J., Sun, P., Chi, X., & Ding, A. (2020). Increased Aerosol Extinction Efficiency Hinders Visibility Improvement in Eastern China. Geophysical Research Letters, 47(20). https://doi.org/10.1029/2020gl090167 Liu, L., Kuang, Y., Zhai, M., Xue, B., He, Y., Tao, J., Luo, B., Xu, W., Tao, J., Yin, C., Li, F., Xu, H., Deng, T., Deng, X., Tan, H., & Shao, M. (2022). Strong light scattering of highly oxygenated organic aerosols impacts significantly on visibility degradation. Atmospheric Chemistry and Physics, 22(11), 7713-7726. https://doi.org/10.5194/acp-22-7713-2022 Liu, Y., Wu, Z., Wang, Y., Xiao, Y., Gu, F., Zheng, J., Tan, T., Shang, D., Wu, Y., Zeng, L., Hu, M., Bateman, A. P., & Martin, S. T. (2017). Submicrometer Particles Are in the Liquid State during Heavy Haze Episodes in the Urban Atmosphere of Beijing, China. Environmental Science & Technology Letters, 4(10), 427-432. https://doi.org/10.1021/acs.estlett.7b00352 Müller, T., Laborde, M., Kassell, G., & Wiedensohler, A. (2011). Design and performance of a three-wavelength LED-based total scatter and backscatter integrating nephelometer. Atmospheric Measurement Techniques, 4(6), 1291-1303. https://doi.org/10.5194/amt-4-1291-2011 Malm, W. C., Sisler, J. F., Huffman, D., Eldred, R. A., and Cahill, T. A. (1994). Spatial and seasonal trends in particle concentration and optical extinction in the United States. Journal of Geophysical Research: Atmospheres. Ouimette, J. R., & Flagan, R. C. (1982). The extinction coefficient of multicomponent aerosols. Atmospheric Environment, 16(10), 2405-2419. Peng, J., Hu, M., Shang, D., Wu, Z., Du, Z., Tan, T., Wang, Y., Zhang, F., & Zhang, R. (2021). Explosive Secondary Aerosol Formation during Severe Haze in the North China Plain. Environ Sci Technol, 55(4), 2189-2207. https://doi.org/10.1021/acs.est.0c07204 Petäjä, T., Järvi, L., Kerminen, V. M., Ding, A. J., Sun, J. N., Nie, W., Kujansuu, J., Virkkula, A., Yang, X., Fu, C. B., Zilitinkevich, S., & Kulmala, M. (2016). Enhanced air pollution via aerosol-boundary layer feedback in China. Scientific Reports, 6(1), 18998. https://doi.org/10.1038/srep18998 Pitchford, M., Malm, W., Schichtel, B., Kumar, N., Lowenthal, D., & Hand, J. (2007). Revised algorithm for estimating light extinction from IMPROVE particle speciation data. J Air Waste Manag Assoc, 57(11), 1326-1336. https://doi.org/10.3155/1047-3289.57.11.1326 Redmond, H. E., Dial, K. D., & Thompson, J. E. (2010). Light scattering and absorption by wind blown dust: Theory, measurement, and recent data. Aeolian Research, 2(1), 5-26. https://doi.org/10.1016/j.aeolia.2009.09.002 Shen, C., Zhao, G., Zhao, W., Tian, P., & Zhao, C. (2021). Measurement report: aerosol hygroscopic properties extended to 600 nm in the urban environment. Atmospheric Chemistry and Physics, 21(3), 1375-1388. https://doi.org/10.5194/acp-21-1375-2021 Shi, J., Liu, S., Qu, Y., Zhang, T., Dai, W., Zhang, P., Li, R., Zhu, C., & Cao, J. (2023). Variations of the urban PM(2.5) chemical components and corresponding light extinction for three heating seasons in the Guanzhong Plain, China. J Environ Manage, 327, 116821. https://doi.org/10.1016/j.jenvman.2022.116821 Sumlin, B. J., Heinson, W. R., & Chakrabarty, R. K. (2018). Retrieving the aerosol complex refractive index using PyMieScatt: A Mie computational package with visualization capabilities. Journal of Quantitative Spectroscopy and Radiative Transfer, 205, 127-134. https://doi.org/10.1016/j.jqsrt.2017.10.012 Tan, H., Cai, M., Fan, Q., Liu, L., Li, F., Chan, P. W., Deng, X., & Wu, D. (2017). An analysis of aerosol liquid water content and related impact factors in Pearl River Delta. Sci Total Environ, 579, 1822-1830. https://doi.org/10.1016/j.scitotenv.2016.11.167 Tang, I., Wong, W., & Munkelwitz, H. (1981). The relative importance of atmospheric sulfates and nitrates in visibility reduction. Atmospheric Environment, 15(12), 2463-2471. Tao, J., Zhang, Z., Wu, Y., Zhang, L., Wu, Z., Cheng, P., Li, M., Chen, L., Zhang, R., & Cao, J. (2019). Impact of particle number and mass size distributions of major chemical components on particle mass scattering efficiency in urban Guangzhou in southern China. Atmospheric Chemistry and Physics, 19(13), 8471-8490. https://doi.org/10.5194/acp-19-8471-2019 Tao, J., Zhang, Z., Zhang, L., Wu, Y., Fang, P., & Wang, B. (2021). Impact of aerosol liquid water content and its size distribution on hygroscopic growth factor in urban Guangzhou of South China. Sci Total Environ, 789. https://doi.org/10.1016/j.scitotenv.2021.148055 Taylor, S. R., & McLennan, S. M. (1985). The continental crust: its composition and evolution. Ting, Y. C., Young, L. H., Lin, T. H., Tsay, S. C., Chang, K. E., & Hsiao, T. C. (2022). Quantifying the impacts of PM(2.5) constituents and relative humidity on visibility impairment in a suburban area of eastern Asia using long-term in-situ measurements. Sci Total Environ, 818, 151759. https://doi.org/10.1016/j.scitotenv.2021.151759 Wang, M., Kong, W., Marten, R., He, X. C., Chen, D., Pfeifer, J., Heitto, A., Kontkanen, J., Dada, L., Kurten, A., Yli-Juuti, T., Manninen, H. E., Amanatidis, S., Amorim, A., Baalbaki, R., Baccarini, A., Bell, D. M., Bertozzi, B., Brakling, S., . . . Donahue, N. M. (2020). Rapid growth of new atmospheric particles by nitric acid and ammonia condensation. Nature, 581(7807), 184-189. https://doi.org/10.1038/s41586-020-2270-4 Wang, Q., Sun, Y., Jiang, Q., Du, W., Sun, C., Fu, P., & Wang, Z. (2015). Chemical composition of aerosol particles and light extinction apportionment before and during the heating season in Beijing, China. Journal of Geophysical Research: Atmospheres, 120(24), 12708-12722. https://doi.org/10.1002/2015jd023871 Wang, S., Crumeyrolle, S., Zhao, W., Xu, X., Fang, B., Derimian, Y., Chen, C., Chen, W., Zhang, W., Huang, Y., Deng, X., & Tong, Y. (2021). Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index. Atmospheric Environment, 245. https://doi.org/10.1016/j.atmosenv.2020.117959 Wang, Y., Chen, Y., Wu, Z., Shang, D., Bian, Y., Du, Z., Schmitt, S. H., Su, R., Gkatzelis, G. I., Schlag, P., Hohaus, T., Voliotis, A., Lu, K., Zeng, L., Zhao, C., Alfarra, M. R., McFiggans, G., Wiedensohler, A., Kiendler-Scharr, A., . . . Hu, M. (2020). Mutual promotion between aerosol particle liquid water and particulate nitrate enhancement leads to severe nitrate-dominated particulate matter pollution and low visibility. Atmospheric Chemistry and Physics, 20(4), 2161-2175. https://doi.org/10.5194/acp-20-2161-2020 Xu, J., Zhang, Q., Chen, M., Ge, X., Ren, J., & Qin, D. (2014). Chemical composition, sources, and processes of urban aerosols during summertime in northwest China: insights from high-resolution aerosol mass spectrometry. Atmospheric Chemistry and Physics, 14(23), 12593-12611. https://doi.org/10.5194/acp-14-12593-2014 Xu, W., Kuang, Y., Bian, Y., Liu, L., Li, F., Wang, Y., Xue, B., Luo, B., Huang, S., Yuan, B., Zhao, P., & Shao, M. (2020). Current Challenges in Visibility Improvement in Southern China. Environmental Science & Technology Letters, 7(6), 395-401. https://doi.org/10.1021/acs.estlett.0c00274 Xu, X., Zhao, W., Zhang, Q., Wang, S., Fang, B., Chen, W., Venables, D. S., Wang, X., Pu, W., Wang, X., Gao, X., & Zhang, W. (2016). Optical properties of atmospheric fine particles near Beijing during the HOPE-J<sup>3</sup>A campaign. Atmospheric Chemistry and Physics, 16(10), 6421-6439. https://doi.org/10.5194/acp-16-6421-2016 Xue, B., Kuang, Y., Xu, W., & Zhao, P. (2022). Joint increase of aerosol scattering efficiency and aerosol hygroscopicity aggravate visibility impairment in the North China Plain. Sci Total Environ, 839, 156279. https://doi.org/10.1016/j.scitotenv.2022.156279 Xue, M., Ma, J., Yan, P., & Pan, X. (2011). Impacts of pollution and dust aerosols on the atmospheric optical properties over a polluted rural area near Beijing city. Atmospheric Research, 101(4), 835-843. https://doi.org/10.1016/j.atmosres.2011.05.009 Yao, L., Kong, S., Zheng, H., Yan, Q., Chen, K., Yin, Y., Yuan, L., Wang, Z., Zhang, Y., Cheng, Y., Wu, J., Zeng, X., Zheng, S., Niu, Z., Fan, Z., Yan, Y., Liu, D., & Qi, S. (2021). Optical properties closure and sources of size-resolved aerosol in Nanjing around summer harvest period. Atmospheric Environment, 244. https://doi.org/10.1016/j.atmosenv.2020.118017 Young, L. H., Hsiao, T. C., Griffith, S. M., Huang, Y. H., Hsieh, H. G., Lin, T. H., Tsay, S. C., Lin, Y. J., Lai, K. L., Lin, N. H., & Lin, W. Y. (2022). Secondary inorganic aerosol chemistry and its impact on atmospheric visibility over an ammonia-rich urban area in Central Taiwan. Environ Pollut, 312, 119951. https://doi.org/10.1016/j.envpol.2022.119951 Zhang, Z., Shen, Y., Li, Y., Zhu, B., & Yu, X. (2017). Analysis of extinction properties as a function of relative humidity using a <i>κ</i>-EC-Mie model in Nanjing. Atmospheric Chemistry and Physics, 17(6), 4147-4157. https://doi.org/10.5194/acp-17-4147-2017 Zhao, G., Li, F., & Zhao, C. (2020). Determination of the refractive index of ambient aerosols. Atmospheric Environment, 240. https://doi.org/10.1016/j.atmosenv.2020.117800 Zhao, G., Tan, T., Hu, S., Du, Z., Shang, D., Wu, Z., Guo, S., Zheng, J., Zhu, W., Li, M., Zeng, L., & Hu, M. (2022). Mixing state of black carbon at different atmospheres in north and southwest China. Atmospheric Chemistry and Physics, 22(16), 10861-10873. https://doi.org/10.5194/acp-22-10861-2022 Zhao, G., Tao, J., Kuang, Y., Shen, C., Yu, Y., & Zhao, C. (2019). Role of black carbon mass size distribution in the direct aerosol radiative forcing. Atmospheric Chemistry and Physics, 19(20), 13175-13188. https://doi.org/10.5194/acp-19-13175-2019 Zhou, Y., Wang, Q., Zhang, X., Wang, Y., Liu, S., Wang, M., Tian, J., Zhu, C., Huang, R., Zhang, Q., Zhang, T., Zhou, J., Dai, W., & Cao, J. (2019). Exploring the impact of chemical composition on aerosol light extinction during winter in a heavily polluted urban area of China. J Environ Manage, 247, 766-775. https://doi.org/10.1016/j.jenvman.2019.06.100 Zhu, W., Guo, S., Lou, S., Wang, H., Yu, Y., Xu, W., Liu, Y., Cheng, Z., Huang, X., He, L., Zeng, L., Chen, S., & Hu, M. (2021). A novel algorithm to determine the scattering coefficient of ambient organic aerosols. Environ Pollut, 270, 116209. https://doi.org/10.1016/j.envpol.2020.116209 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90613 | - |
| dc.description.abstract | 大氣氣膠藉由散射與吸收改變傳遞至人眼的太陽光,進而決定民眾對能見度觀感。為了研究能見度劣化的原因,本研究結合Mie theory與IMPROVE方法,搭配即時且長期的氣膠物化特性採樣,試圖解析化學成分與粒徑分布對消光係數之影響,同時探討微粒吸濕性以及氣象條件對能見度的負面影響。
Revised IMPROVE分析顯示化學物質對消光係數的貢獻按以下順序排列:有機物(OM)(37.2%)、硝酸銨(AN)(20.5%)、硫酸銨(AS)(18.7%)、元素碳(EC)(12.8%)、土壤(7.9%)和海鹽(2.9%)。在相對濕度的影響下,事件期間二次無機氣膠的貢獻可高達71%。為了更準確地估計當地污染對消光係數的影響,本研究基於EC示踪法和多元線性回歸開發適用於本地的IMPROVE演算法,結果顯示 POA 具有顯著的散光能力(MSE=6.22 m2/g),而SOA表現出中度散光能力(MSE=3.78 m2/g)。此外,POA和SOA都表現弱吸光能力,其MAE值分別為0.17 m2/g 和0.30 m2/g。根據這些信息,我們還推斷了POA和SOA的成分和粒徑範圍。通過Revised與Localized IMPROVE演算法,我們發現二次硝酸鹽(AN)的貢獻在從乾淨期到事件期間增加了約20%,原生性有機氣膠(POA)的貢獻則增加了約13%,表明POA與AN皆為能見度劣化的元凶。 基於米氏理論、粒徑分佈和化學成分數據,計算不同粒徑對消光係數的貢獻。對消光分佈的分析結果顯示,隨著能見度的降低,消光分佈更加集中在500 nm附近,這意味著直徑接近可見光波長的顆粒物對消光係數有顯著的影響。此外,本研究發現100 nm和400-700 nm 處微粒數目的增長,並在最後探討這些粒徑範圍內生成的微粒的化學成分。 | zh_TW |
| dc.description.abstract | Atmospheric aerosols alter the solar radiation reaching the human eye through scattering and absorption, thereby influencing perceived visibility. To investigate the causes of visibility degradation in the Taichung area, this study employed Mie theory and the IMPROVE method in conjunction with real-time and long-term aerosol physical and chemical characterization. This study aimed to elucidate the impact of chemical composition and particle size distribution on the extinction coefficient and examined the negative effects of particle hygroscopicity and meteorological conditions on visibility.
The Revised IMPROVE analysis revealed that the chemical species contributing to light extinction ranked in the following order: organic matter (OM) (37.2%), ammonium nitrate (AN) (20.5%), ammonium sulfate (AS) (18.7%), elemental carbon (EC) (12.8%), soil (7.9%), and sea salt (2.9%). The heightened contributions (71%) of secondary inorganic aerosols were observed during the event period under the influence of relative humidity. To achieve a more accurate estimation of the organic matter on extinction coefficients, a Localized IMPROVE algorithm was established based on the EC-tracer method and multi-linear regression. The coefficients unveiled that POA possesses a substantial light scattering ability (6.22 m2/g), whereas SOA exhibits a moderate light scattering ability (3.78 m2/g). Additionally, both POA and SOA demonstrated limited light absorption capabilities, with values of 0.17 m2/g and 0.30 m2/g, respectively. Based on this information, we also inferred the composition and particle size range of POA and SOA. The application of both Revised and Localized IMPROVE algorithms revealed substantial increases of approximately 20% in secondary nitrate and 13% in primary organic aerosol (POA) contributions to light extinction from the clean to the event periods, indicating both POA and AN are the culprits of visibility degradation. The size-dependence extinction coefficient was calculated in this study based on the Mie theory, particle size distribution, and chemical composition data. Analysis of the extinction distribution exhibited that the extinction distribution becomes more concentrated around 500 nm as the visibility impairment, which means particles with diameters close to the visible light wavelength have a pronounced impact on light extinction. Furthermore, we found a number enhancement around 100 nm and 400-700 nm as events degrade, and the study concludes with a discussion of the chemical compositions of the particles generated within these size ranges. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-10-03T16:51:49Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-10-03T16:51:49Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 誌謝 I
中文摘要 II ABSTRACT IV CONTENTS VI List of Figures VIII List of Figures SI X List of Tables XI Chapter 1 Introduction 1 Chapter 2 Experimental 6 2.1 Sampling site 6 2.2 Instrumentation 7 2.2.1 Aerosol optical properties 7 2.2.2 Particle size distribution 11 2.2.3 Particle mass and compositions 11 2.2.4 Meteorological parameters 12 2.3 Atmospheric optics 13 2.3.1 Mie theory 13 2.3.2 Mixing state 17 2.3.3 Data processing 19 2.4 IMPROVE algorithm 21 2.4.1 Mass reconstruction 21 2.4.2 Original and Modified IMPROVE 24 2.4.3 Revised IMPROVE 27 Chapter 3 Results and discussion 31 3.1 Campaign overview 31 3.2 IMPROVE algorithm 42 3.2.1 Chemical apportionment of PM2.5 42 3.2.2 Chemical apportionment of light extinction coefficient 45 3.2.3 Localized IMPROVE algorithm 52 3.3 Size-dependent extinction coefficient 57 3.3.1 Verification of size-dependent extinction coefficient 57 3.3.2 Particle size distributions 61 3.3.3 Dry and ambient size-dependent extinction coefficient 63 3.4 The explosive aerosol formation 67 Chapter 4 Conclusion 71 Reference 73 Supplemental Information 80 口試委員意見回覆 87 | - |
| dc.language.iso | en | - |
| dc.subject | 吸濕成長因子 | zh_TW |
| dc.subject | 二次無機氣膠 | zh_TW |
| dc.subject | 化學消光分配法 | zh_TW |
| dc.subject | 米氏理論 | zh_TW |
| dc.subject | 能見度 | zh_TW |
| dc.subject | 源生性有機氣膠 | zh_TW |
| dc.subject | Mie Theory | en |
| dc.subject | Secondary Inorganic Aerosol | en |
| dc.subject | Primary Organic Aerosol | en |
| dc.subject | Hygroscopic Growth Factor | en |
| dc.subject | IMPROVE | en |
| dc.subject | Visibility | en |
| dc.title | 台灣中部地區微粒粒徑分布、化學成分及吸濕性對氣膠消光係數的影響 | zh_TW |
| dc.title | Impact of Particle Size Distribution, Chemical Composition, and Hygroscopic Property on Aerosol Light Extinction in Central Taiwan | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林能暉;林文印;楊禮豪;丁育頡 | zh_TW |
| dc.contributor.oralexamcommittee | Neng-Huei Lin;Wen-Yinn Lin ;Li-Hao Young;Yu-Chieh Ting | en |
| dc.subject.keyword | 米氏理論,化學消光分配法,二次無機氣膠,源生性有機氣膠,吸濕成長因子,能見度, | zh_TW |
| dc.subject.keyword | Mie Theory,IMPROVE,Secondary Inorganic Aerosol,Primary Organic Aerosol,Hygroscopic Growth Factor,Visibility, | en |
| dc.relation.page | 92 | - |
| dc.identifier.doi | 10.6342/NTU202304119 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2023-08-13 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 環境工程學研究所 | - |
| dc.date.embargo-lift | 2026-07-31 | - |
| 顯示於系所單位: | 環境工程學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-111-2.pdf 未授權公開取用 | 7.33 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
