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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 駱尚廉 | zh_TW |
dc.contributor.advisor | Shang-Lien Lo | en |
dc.contributor.author | 羅子亭 | zh_TW |
dc.contributor.author | Tzu-Ting Lo | en |
dc.date.accessioned | 2024-02-01T16:17:37Z | - |
dc.date.available | 2024-02-02 | - |
dc.date.copyright | 2024-02-01 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2024-01-12 | - |
dc.identifier.citation | Castañeda-Miranda, A. G., Böhnel, H. N., Molina-Garza, R. S., & Chaparro, M. A. E. (2014). Magnetic evaluation of TSP-filters for air quality monitoring. Atmospheric Environment, 96, 163-174. https://doi.org/10.1016/j.atmosenv.2014.07.015
Chen, G.-F., Lai, C.-H., & Chen, W.-H. (2020). Principal component analysis and mapping to characterize the emission of volatile organic compounds in a typical petrochemical industrial park. Aerosol and Air Quality Research, 20(3), 465-476. García-Santillán, A., Venegas-Martinez, F., Escalera Chávez, M. E. & Córdova-Rangel,A.(2013). Attitude toward Statistic in College Students (An Empirical Study in Public University). Journal of Statistical and Econometric Methods, 2(1), 43-60. Jabłońska, M., & Janeczek, J. (2019). Identification of industrial point sources of airborne dust particles in an urban environment by a combined mineralogical and meteorological analyses: A case study from the Upper Silesian conurbation, Poland. Atmospheric Pollution Research, 10(3), 980-988. https://doi.org/10.1016/j.apr.2019.01.006 Kim, K. H., Kabir, E., & Kabir, S. (2015). A review on the human health impact of airborne particulate matter. Environ Int, 74, 136-143. https://doi.org/10.1016/j.envint.2014.10.005 Lanzaco, B. L., Olcese, L. E., Querol, X., & Toselli, B. M. (2017). Analysis of PM2. 5 in Córdoba, Argentina under the effects of the El Niño Southern Oscillation. Atmospheric Environment, 171, 49-58. Li, D., Tang, J., & Gan, X. (2018). Reliability and validity of the Munro Scale on the assessment of pressure ulcer risks in adult perioperative patients: a cross-sectional study. Int J Clin Exp Med, 11(9), 9811-9818. MacNee, W., & Donaldson, K. (2003). Mechanism of lung injury caused by PM10 and ultrafine particles with special reference to COPD. Eur Respir J Suppl, 40, 47s-51s. https://doi.org/10.1183/09031936.03.00403203 Qi, J., Zheng, B., Li, M., Yu, F., Chen, C., Liu, F., Zhou, X., Yuan, J., Zhang, Q., & He, K. (2017). A high-resolution air pollutants emission inventory in 2013 for the Beijing-Tianjin-Hebei region, China. Atmospheric Environment, 170, 156-168. Pӧschl, U. (2005). Atmospheric aerosols: composition, transformation, climate and health effects. Angew Chem Int Ed Engl, 44(46), 7520-7540. https://doi.org/10.1002/anie.200501122 Santos, F. S., Miranda, G. A., Carvalho, A. N., Carvalho, V. S. B., & Albuquerque, T. T. d. A. (2019). Regulated air pollutant emissions from higher emitters stationary sources in Belo Horizonte, Minas Gerais, Brazil. Brazilian Journal of Chemical Engineering, 36, 775-784. Schultz, A. A., Schauer, J. J., & Malecki, K. MC. (2017). Allergic disease associations with regional and localized estimates of air pollution. Environ Res, 155, 77-85. https://doi.org/10.1016/j.envres.2017.01.039 Yang, W., Zhao, Y., Wang, D., Wu, H., Lin, A., & He, L. (2020). Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin''anjiang River in Huangshan, China. Internation Journal of Environational Research and Public Health, 17(8). https://doi.org/10.3390/ijerph17082942 Zhang, H.-W., Kok, V. C., Chuang, S.-C., Tseng, C.-H., Lin, C.-T., Li, T.-C., Sung, F.-C., Wen, C. P., Hsiung, C. A., & Hsu, C. Y. (2019). Long-term ambient hydrocarbons exposure and incidence of ischemic stroke. PloS one, 14(12), e0225363. Zhang, Z., Qi, J., Ma, J., Wang, X., Zhang, F., & Li, Y. (2022). Evaluation of Ambient Air Quality Ranking in Harbin Based on Principal Component Analysis and Comprehensive Score Method. 2022 International Conference on Environmental Science and Green Energy (ICESGE). Cooper, C. D., & Alley, F. C. (2009)。空氣污染防制。中央圖書出版社。 行政院 (2023)。空氣污染防制大作戰—保護國人健康,讓臺灣環境永續。https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/e8819567-8f04-42e1-84ef-cbbe48b5cce2。 行政院主計總處 (2023)。行政院主計總處。 https://nstatdb.dgbas.gov.tw/dgbasall/webMain.aspx?sys=210&funid=A030202010 司洪濤、郭志軍、陳見財、陳靖玟、楊政育、礦永詮(2007)。揮發性有機物廢氣減量及處理技術手冊。經濟部工業局。 李正揚 (2008)。台灣地區廠商空氣污染防制成本函數實證研究。國立臺北大學自然資源與環境管理研究所碩士論文。 吳亞璇 (2020)。臺灣本土燃煤電廠與汽柴油車排放尾氣中細懸浮微粒組成特徵與吸入風險評估。國立陽明大學環境與職業衛生研究所碩士論文。 林君柔 (2021)。工業區空氣污染排放對周邊地區健康損失之評估。國立臺北科技大學環境工程與管理研究所碩士論文。 林文川、莊錦烽(1995)。染整業定型機廢氣特性及控制策略。工業污染防治 (pp. 22)。 孫國書 (2008)。行業製程異味污染防治—塑膠製品業。https://proj.ftis.org.tw/eta/epaper/PDF/ti061-1.pdf 國家環境保護局科技標準司 (1997)。大氣污染物綜合排放標準詳解。中國環境科學出版社。 黃玉潔 (2013)。細懸浮微粒濃度資料之可靠度與趨勢分析。國立中山大學應用數學系碩士論文。 葉國樑 (2017)。細懸浮微粒 PM2.5之健康風險與預防。臺灣鑛業,69(2),3-10。 經濟部工業局觀音工業區服務中心 (2023)。園區簡介。https://www.moeaidb.gov.tw/iphw/kuangin/index.do?id=10#pc3 經濟部工業局 (2014)。化學材料製造業污染防治法規與處理技術手冊。(pp. 255)。 潘一誠、林穎俊、陳筱薇、林志純、謝仁碩、劉智祥、賴俊甫、王義基 (2022)。工商業鍋爐汰換污染改善分析。工業污染防治(pp. 18)。 蔡秉諺 (2021)。應用多變量統計技術歸納蘭陽平原地下水中砷釋出機制。國立臺灣大學地質科學研究所碩士論文。 劉文海 (1990)。台灣區熔鐵爐污染防制技術現況。工業污染防治 (pp. 19)。 劉國棟 (1993)。VOC管制趨勢展望。工業污染防治(pp. 17)。 謝金星、薛毅 (2006) 優化建模與LINDO/LINGO軟件。清華大學出版社。 環境部 (2023)。固定污染源管理資訊公開平台。https://air.epa.gov.tw/EnvTopics/AirQuality_6.aspx 環境部 (2023)。空氣污染物排放量清冊。https://aodmis.moenv.gov.tw/opendata/#/emq 環境部 (2023)。瀝青拌合業逸散性粒狀污染物防制技術手冊。https://reurl.cc/Wv9v6O 環境部 (2023)。鋼鐵冶鍊逸散性粒狀污染物防制技術手冊。https://air.moenv.gov.tw/EnvTopics/StationarySource_11.aspx 簡汝嬑 (2017)。高雄市細懸浮微粒之減量成本與防制策略。國立成功大學環境工程學系碩士論文。 簡聰文、曾庭科、黃秋俊 (2022)。國內外中小型鍋爐空氣污染管制淺析 [The Emission Monitoring of Fossil Fuel-fired Units by using Artificial Intelligence Technologies]。燃燒季刊(118),4-33。 https://doi.org/10.30041/cq.202208_(118).0001 曠永銓、羅鈞、郭子豪、陳金瀛、王嘉弘、周松霖、黃永昌、黃鍾偉、郭泰均、底宗鴻、蕭雅晶 (2012)。提升中部及雲嘉南空品區空氣品質改善計畫。行政院環境保護署。 嚴先瑾 (2022)。運用主成分分析地下水水質劣化之成因。朝陽科技大學環境工程與管理系碩士論文。 | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91600 | - |
dc.description.abstract | 因工業區活動產生多種空氣污染物排放,常引起鄰近住戶與環保團體的關注,難以辨識該區空氣污染來源,為了改善空氣品質,本研究以觀音工業區為例,彙整固定污染源排放量資料,並以 TEDS 第 12 版排放量為基礎,使用主成分分析工業區污染來源和排放狀況,藉由分析結果,結合空污防制成本相關資料,擬定最佳化減量策略。
本研究發現該工業區近 4 年 TSP、SOx、NOx 以及 NMHC 等污染物整體排放量逐年呈下降趨勢,並以 TEDS 第 12 版排放量資料進行主成分分析,選擇三個主成分,解釋數據 77.5%變異性,其中第一個主成分(PC1)主要排放物質為 TSP、PM10 與 PM2.5;第二個主成分(PC2)主要排放污染物為 THC 與 NMHC;第三個主成分(PC3)主要排放污染物為 NOx 與 Pb,並經分析得知未分類其他非金屬礦物製品製造業(瀝青拌合業)污染程度最大,其次為塑膠原料製造業、鋼鐵鑄造業與化學原材料製造業等。 另該工業區 2021 年整體污染物(TSP、SOx、NOx 與 NMHC 污染物排放量加總)於最小減量成本下額外改善5%、10%、15%、20%與 25%五種情形進行分析,在空品額外改善 5%情形中,可發現 NMHC 為優先去除污染物;而於額外 10%改善情形下新增 TSP 排放量管制,SOx 與 NOx 分析結果皆無減量;當整體污染額外改善 25%情形下,新增 SOx 與 NOx 排放量管制,額外減量成本約 2,538 萬元,除此之外,在成本最小下,NMHC 額外減量噸數及去除比例最高,可列為優先去除污染物;另各別污染物(TSP、SOx、NOx 與 NMHC)額外改善情形提升至 25%,減量成本約 2,781 萬元,相較於整體污染物額外改善情形 25%,增加 243 萬元,主要為整體污染物額外改善可優先擇成本較低污染物進行,使減量成本降低,本研究亦結合主成分分析及減量成本分析結果分別提供減量建議。此外,亦針對整體污染物或各別污染物不同情境下之減量成本進行敏感度分析,評估各行業於變動範圍內之減量成本,仍具備經濟效益。 | zh_TW |
dc.description.abstract | In recent years, air pollution has become a major concern for residents and environmental groups living near industrial areas. It is often difficult to identify the sources of air pollution in these areas. To improve air quality, this study used the case of the Guanyin Industrial Park in Taiwan to compile data on emissions from stationary sources. Using the 12th edition of the Taiwan Emission Data System (TEDS), the study used principal component analysis to identify the sources and emissions of air pollutants in the industrial park. The results of the analysis were combined with data on air pollution control costs to develop an optimized reduction strategy.
The study found that emissions of particulate matter (TSP), sulfur dioxide (SOx), nitrogen oxides (NOx), and volatile organic compounds (NMHC) in the industrial park have been declining in recent years. Principal component analysis of TEDS 12 data identified three main components that explain 77.5% of the variation in the data. The first component (PC1) is primarily composed of TSP, PM10, and PM2.5. The second component (PC2) is primarily composed of THC and NMHC. The third component (PC3) is primarily composed of NOx and Pb. The study also found that the largest polluter in the industrial park is the uncategorized other non-metallic mineral products manufacturing industry (asphalt mixing industry), followed by the plastic raw materials manufacturing industry, the iron and steel casting industry, and the chemical raw materials manufacturing industry. The study also analyzed the cost-effectiveness of reducing overall pollution in the industrial park by 5%, 10%, 15%, 20%, and 25%. In the case of a 5% reduction, NMHC were found to be the most cost-effective pollutant to remove. At a 10% reduction, adding a control on TSP emissions would not reduce SOx or NOx emissions. At a 25% reduction,adding controls on SOx and NOx emissions would cost approximately NT$25.38 million. At the lowest cost, NMHC had the highest reduction in tons and percentage removed, making them the top priority for removal. Increasing the reduction of each pollutant (TSP, SOx, NOx, and NMHC) to 25% would cost approximately NT$27.81 million, which is NT$2.43 million more than the cost of reducing all pollutants by 25%. This is because it is more cost-effective to prioritize the removal of pollutants with lower control costs. The study also provides reduction recommendations based on the results of the principal component analysis and the cost-effectiveness analysis. In addition, the study conducted sensitivity analysis of the cost of reducing overall pollution or individual pollutants under different scenarios. This analysis evaluated whether the reduction costs for each industry are still economically feasible within the range of variation. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-01T16:17:37Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-02-01T16:17:37Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iv 目次 vi 圖次 viii 表次 ix 第一章 諸論 1 1.1 研究緣起 1 1.2 研究目的 2 1.3 研究內容 3 第二章 文獻回顧 4 2.1 觀音工業區 4 2.2 工業區污染物組成特徵 6 2.2.1 污染物組成及來源 6 2.2.2 固定污染源排放量 11 2.2.3 空氣污染物來源主成分因子分析 14 2.3 排放量推估資料 22 2.3.1 固定污染源管理資訊公開資料 22 2.3.2 環境部全國空氣污染物排放量 TEDS 第 12 版點源清冊 22 2.4 污染防制成本 35 第三章 研究方法 38 3.1 研究架構 38 3.2 研究方法 40 3.2.1 主成分分析 40 3.2.2 LINDO 系統 43 第四章 結果與討論 45 4.1 歷年點源污染物排放量 45 4.2 TEDS 第 12 版點源排放量分析 48 4.2.1 各行業別污染排放量分析 48 4.2.2 主成分分析 54 4.3 各行業空污減量成本 63 4.4 LINDO 系統分析結果 66 4.4.1 整體污染物於額外空品改善情形下之行業別分析結果 66 4.4.2 各別污染物於額外空品改善情形下之分析結果 73 4.4.3 減量成本之敏感度分析 79 4.5 減量建議 83 第五章 結論與建議 87 5.1 結論 87 5.2 建議 90 第六章 參考文獻 91 附錄 LINDO 系統分析 95 | - |
dc.language.iso | zh_TW | - |
dc.title | 觀音工業區點源污染物分析與減量策略 | zh_TW |
dc.title | Analysis and Reduction Strategies for Point Sources of Pollutants in Guanyin Industrial Park | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 闕蓓德;陳映竹 | zh_TW |
dc.contributor.oralexamcommittee | Pei-Te Chiueh;Ying-Chu Chen | en |
dc.subject.keyword | 固定污染源,排放量,TEDS,主成分分析,減量策略, | zh_TW |
dc.subject.keyword | Point source pollution,Emissions,TEDS,PCA,Reduction strategies, | en |
dc.relation.page | 104 | - |
dc.identifier.doi | 10.6342/NTU202304560 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-01-15 | - |
dc.contributor.author-college | 工學院 | - |
dc.contributor.author-dept | 環境工程學研究所 | - |
顯示於系所單位: | 環境工程學研究所 |
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