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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳家揚 | |
dc.contributor.author | Yi-Ting Wang | en |
dc.contributor.author | 王宜婷 | zh_TW |
dc.date.accessioned | 2021-06-15T00:36:20Z | - |
dc.date.available | 2012-02-17 | |
dc.date.copyright | 2009-02-17 | |
dc.date.issued | 2008 | |
dc.date.submitted | 2008-12-11 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41896 | - |
dc.description.abstract | 半導體業對台灣經濟發展有重大貢獻,但是由於製程中大量使用各類無機酸原物料,經由工廠排放後,可能對於高科技產業園區周邊居民產生衝擊。本研究蒐集1999年起環保署規定半導體業需申報之無機酸原物料使用量,包括硫酸、硝酸、氫氟酸及鹽酸,以此了解近年來半導體業原物料使用趨勢,並利用地理資訊系統 (Geographic Information System,GIS)及空氣污染擴散模式(Industrial Source Complex Short Term 3rd edition,ISCST3)評估半導體業排放無機酸對當地村里潛在污染區域及影響程度,利用排放係數推估無機酸排放量進行空氣污染擴散模擬,並與周邊環境實測對照比較,提出大氣中無機酸隨季節變化之污染源濃度分佈等資訊。
資料顯示園區內污染源分佈集中,且硫酸在無機酸原物料使用屬最大量,其次為氫氟酸、鹽酸及硝酸,且本研究結果發現2004–2006年無機酸模擬季平均擴散濃度有逐年遞增趨勢。另污染分佈狀況受季節及環境因素影響變化大,以2006年為例,短時間內大氣中硫酸液滴於第二期及第三期區域會有較高模擬濃度,如雙溪村、高峰里、金山里各季最大日模擬濃度分別介於1.40–1.60 µg/m3、1.03–1.31 µg/m3和0.82–1.277 µg/m3。此外,周界六測站平均監測值皆遠高於模擬值,可能源於無法完全掌握其他逸散源的污染貢獻,故其他五測站歷年各無機酸平均模擬值與實測值之R2介於0.17–0.71 (排除污水廠測點),尤其硫酸液滴(R2=0.71)具有良好的相關性,推測園區內半導體業污染源排放,可能影響園區周界大氣環境中無機酸污染濃度。此外,園區下風區域有較高模擬濃度分佈,但該處僅設置一監測站可供比較,顯示目前對於高污染濃度分佈的資訊不足,有必要檢討監測站分佈位置。 年平均模擬值最高值出現於高峰里(0.114 µg/m3)和金山里(0.11 µg/m3),雖其值均未超過美國加州環境衛生健康評估中心列出之硫酸慢性暴露標準(1 µg/m3),但仍須留意相關半導體產業運作對周邊環境的衝擊,並注意四季無機酸於周邊大氣環境中污染濃度分佈,以降低污染物對易感族群的衝擊,本研究顯示運用大氣擴散模式及地理資訊系統可推估工廠污染排放對於週邊環境之影響。 | zh_TW |
dc.description.abstract | Semiconductor manufacturing industries contribute a lot to the economic growth in Taiwan. However, the semiconductor manufacturing processes use a large amount of inorganic acids, such as sulfuric acid, nitric acid, hydrogen fluoride, and hydrogen chloride. The emission of these acids from the industries may impact the health of local residents near the high-tech park. The chemical usage of H2SO4, HNO3, HF and HCl by the semiconductor manufacturing industries was collected since 1999, which was the year that the industry has to report their use amount required by the regulations of air pollution. We evaluate the potential impact of inorganic acids emitted from the semiconductor manufacturing on air quality in the peripheral regions using air dispersion model (Industrial Source Complex Short Term, ISCST3) and geographic information system (GIS) in this study.the emission rates of the acids used in the ISCST3 were estimated based on the chemical use multiplied by the emission factor from literatures. Furthermore, the simulated values obtained from the air dispersion model were compared with measured concentrations from the air quality monitoring stations. The seasonal variations of acid concentrations in the air were discussed as well.
There is a high density emitted stacks in the high-tech park. H2SO4 is the most used acid, followed by HF, HCl and HNO3. The simulated quarterly average concentrations of inorganic acids were increased from 2004 to 2006. There were seasonal variations in the concentrations of acids and their distribution patterns. For example, the simulated levels of H2SO4 in the year of 2006 were higher at the second and the third quarters than these at the first and the fourth quarter in the short-term simulation. The maximum average daily concentration of H2SO4 in the villages of Shuangsi, Gaofong, and Jinshan were 1.40–1.60 µg/m3, 1.03–1.31 µg/m3, 0.82–1.277 µg/m3, respectively. The simulated levels were lower than those measured at monitoring stations; the main cause would bethat not all emission sources were included., such as the waste water treatment plant The multiple regression correlation coefficients (R2) of the simulated and monitored data were ranged from 0.17 to 0.71, H2SO4 (R2=0.71) has the best correlation. The emission of these acids from the industries may more or less impact the air quality nearby the semiconductor manufacturing industries. Besides, only one monitoring site is located at downwind side, and the levels of acids on this site were higher either on measured data or simulated results, indicating that more monitoring sites would be needed at potenitally polluted area. The maximum yearly average concentrations of H2SO4 were at Gaofong and Jinshan, which were 0.114 µg/m3 and 0.11 µg/m3, respectively, at the year of 2006. Although the averaged simulated concentrations were lower than the chronic reference exposure levels (cRELs) set at 1 µg/m3 by the Office of Environmental Health Hazard Assessment (OEHHA),, state of California, USA, it is still a concern on the health impact on susceptible groups. This study demonstrated that the use of an air dispersion model coupled with the GIS can access the potential influences of acid emissions on the air quality from the industries. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T00:36:20Z (GMT). No. of bitstreams: 1 ntu-97-R95844007-1.pdf: 10289602 bytes, checksum: b2a3e9fdddae0acee2402608eca857b6 (MD5) Previous issue date: 2008 | en |
dc.description.tableofcontents | 誌謝 I
摘要 II Abstract III 目錄 V 表目錄 VII 圖目錄 VIII 第一章、前言 1 1-1研究背景 1 1-2研究目的 2 第二章、文獻探討 5 2-1 半導體業污染物之種類及其潛在危害分析 5 2-2 新竹科學園區環境調查及相關法規 13 2-2-1 新竹科學工業園區歷來各環境介質調查研究 13 2-2-2 半導體業相關空氣污染相關法規 16 2-3污染源排放量推估 20 2-4 大氣擴散模式分析方法及其應用 22 2-5 地理資訊系統應用於環境污染之研究 24 第三章、材料與方法 26 3-1 研究架構 26 3-2 推估排放量 28 3-3 大氣污染擴散模式 29 3-3-1 模式假設及基本數學式 29 3-3-2 受體資料 30 3-3-3 排放源資料 31 3-3-4 氣象資料 32 3-4周邊環境實測 33 3-5 地理資訊系統 36 第四章、結果與討論 38 4-1 無機酸歷年使用量及排放量推估 38 4-2 空氣污染擴散模擬結果 42 4-3 模式模擬與環境實測值比較污染趨勢 53 4-4 評估衝擊區域 60 第五章、結論與建議 63 參考文獻 64 附錄一 半導體公司各季營業額與無機酸原物料使用量原始資料 68 附錄二 初估原物料使用量與營業額關係 69 附錄三 ISCST3擴散模式原始輸入參數設定 75 附錄四 環境監測檢出數據 81 附錄五 2004∼2005年無機酸模擬 83 表目錄 表2-1 半導體晶圓製造所產生之廢氣種類與空氣污染物成份 9 表2-2 2001年新竹科學工業園區半導體以及光電業無機酸控制前後污染排放量 10 表2-3 各種無機酸鹼標準檢測方法及半導體業排放濃度範圍 10 表2-4 半導體製程中常用之酸液種類與慢性健康危害 11 表2-5 半導體製程中常用之溶劑與及其潛在健康危害 12 表2-6 半導體製造業空氣污染排放標準之原物料使用量申報規定 17 表2-7 半導體製造業空氣污染管制之控制設備標準 17 表2-8 光電業空氣污染管制之控制設備標準 18 表2-9 固定污染源空氣污染物排放標準 19 表3-1 半導體業以及光電業使用無機酸排放係數 28 表3-2 ISCST3模式氣象參數及資料來源 32 表3-3 周邊環境相關圖層蒐集列表 37 表4-1 半導體廠各無機酸單廠原物料使用量a及排放量推估 40 表4-2 2004∼2006年無機酸模擬最高季平均濃度結果(μg/m3) 45 表4-3 新竹科學園區鄰近週邊主要村里2006年人口密度 61 表4-4 新竹科學園區鄰近村里2006年各季平均模擬濃度 62 圖目錄 圖1-1 新竹科學園區開發期程及其範圍 3 圖1-2 新竹科學園區歷年六大產業入園廠家數 3 圖1-3 六大產業年度營業額歷年成長趨勢(西元1986~2006年) 4 圖3-1 新竹科學工業園區周邊環境污染趨勢研究架構圖 27 圖3-2 模式模擬範圍涵括新竹縣及新竹市 30 圖3-3 2004∼2006年間新竹科學工業園區週界六地點空氣品質監測資料 35 圖4-1 半導體單廠2004∼2007年無機酸原物料年使用量幾何平均值 41 圖4-2 半導體單廠2004∼2007年無機酸污染物年幾何平均排放量推估值 41 圖4-3 2006年氫氟酸排放源分佈以及最大小時污染濃度 46 圖4-4 2006年硫酸液滴排放源分佈以及最大小時污染濃度 46 圖4-5 2006年硝酸排放源分佈以及最大小時污染濃度 47 圖4-6 2006年鹽酸排放源分佈以及最大小時污染濃度 47 圖4-7 新竹科學工業園區各廠氫氟酸2006年排放源分佈及各季污染分佈圖 48 圖4-8 新竹科學工業園區各廠硫酸液滴2006年排放源分佈及各季污染分佈圖 49 圖4-9 新竹科學工業園區各廠硝酸2006年排放源分佈及各季污染分佈圖 50 圖4-10 新竹科學工業園區各廠鹽酸2006年排放源分佈及各季污染分佈圖 51 圖4-11 2003~2006年新竹氣象測站四季平均風花圖 52 圖4-12 新竹科學工業園區周邊地形圖 52 圖4-13 氫氟酸2006年排放源分佈(圖a)以及2004–2006年平均污染模擬濃度與監測值(圖b) 56 圖4-14 硫酸液滴2006年排放源分佈(圖a)以及2004–2006年平均污染模擬濃度與監測值 57 圖4-15 硝酸2006年排放源分佈(圖a)以及2004–2006年平均污染模擬濃度與監測值 58 圖4-16 鹽酸2006年排放源分佈(圖a)以及2004–2006年平均污染模擬濃度與監測值 59 | |
dc.language.iso | zh-TW | |
dc.title | 結合地理資訊系統與擴散模式評估半導體廠無機酸排放對周遭空氣品質之影響 | zh_TW |
dc.title | Evaluation of the impact of inorganic acids on air quality emitted from the semiconductor manufacturing using dispersion modeling and geographic information system | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 詹長權,陳保中,余泰毅 | |
dc.subject.keyword | ISCST3,地理資訊系統,半導體,無機酸,環境衝擊, | zh_TW |
dc.subject.keyword | ISCST3,geographic information system,semiconductor manufacturing,Inorganic acids,environmental impact, | en |
dc.relation.page | 91 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2008-12-12 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 環境衛生研究所 | zh_TW |
顯示於系所單位: | 環境衛生研究所 |
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