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研究生: 簡馨屏
Chien, Hsin-Ping
論文名稱: 石化工業區附近居民之健康效應探討
Health Effects of Residences Near the Petrochemical Industries
指導教授: 蘇慧貞
Su, Huey-Jen
學位類別: 碩士
Master
系所名稱: 醫學院 - 環境醫學研究所
Department of Environmental and Occupational Health
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 162
中文關鍵詞: 氯乙烯標準化死亡比標準化發生比石化工業區
外文關鍵詞: Benzene, Vinyl Chloride, SMR, SIR, petrochemical industry
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  •   近三十年來,石化工業為一全球化程度相當高的產業,亦是推動台灣推動台灣經濟發展過程中扮演極為重要之角色。石化工業區所排放之污染物可能造成工業區及鄰近地區空氣污染,且由石化工業區與健康效應的研究調查發現,暴露於石化污染物與多種癌症發生率及死亡率有關,亦會影響呼吸道等相關疾病。然而目前石化工業暴露與勞工或居民之健康危害調查中,其暴露資訊來源有限,如以工廠之原物料推估、”石化區”及”非石化區”或是以居住於石化區距離遠近為石化污染暴露程度分類標準,故在探討石化工業污染與健康評估的相關性時有相當的限制。因此本研究欲整合工業區鄉鎮居民之暴露評估、風險評估及流行病學資料如死亡比、發生比分析,探討兩個不同開發時程的石化區對鄰近居民的健康效應影響及其差異,以建立在台灣本土特有環境下的健康流行病學調查。居民暴露資料為引用前期相關研究成果,以污染物空氣擴散模式模擬結果作為居民之暴露量,並依暴露量進行致癌風險推估,而健康影響評估主要利用死亡登記資料庫及癌登登記資料庫進行高雄工業區鄉鎮及雲林工業區鄉鎮居民之癌症、呼吸系統、神經系統及心血管疾病發生率及死亡率分析,並了解各疾病發生率及死亡率隨時間變化的趨勢。
      由歷年各廠商之排放資料及氣象資料進行高雄工業區空氣擴散模式模擬結果發現居民之致癌性污染物暴露濃度所推算的致癌風險高於10-6,而且在A鄉的影響村落達70%,在B及C鄉的村落影響範圍最高至100%,顯示居民產生不良健康效應的危險性較高。另外,雲林工業區之污染物空氣擴散模擬是假設污染物排放量達現況環評承諾值及全量許可核定量,各污染物最大著地濃度大多位於廠區內,且由每一網格點濃度所推估之致癌風險發現除苯之致癌風險高於10-6的範圍較廣外,其餘均位於廠區內。
      民國70-92年高雄三鄉鎮男、女性粗死亡率分別為6.22 ‰及4.06 ‰,全癌症粗死亡率分別為5.22 ‰及3.41 ‰;在麥寮鄉居民之民國85-92年男、女性粗死亡率分別為8.73 ‰及7.01 ‰,全癌症粗死亡率分別為1.28 ‰及1.10 ‰,兩地區皆以肝癌粗死亡率最高。不論以台灣地區人口數或高雄縣人口為參考族群,高雄工業區三鄉鎮之男性全死因、全癌症及女性其他消化器及腹膜之癌症、COPD with bronchiectasis、腦血管疾病標準化死亡比有顯著較高的現象,且男性居民的男性居民的全死因、全癌症、肺癌、呼吸系統及心血管疾病及女性神經系統疾病、肝疾病死亡率自70-92年有逐年上升的趨勢。另外,D鄉居民之疾病標準化死亡比分析發現D鄉及非工業區鄉鎮之肝癌、肺癌、心臟病及腦血管疾病死亡比皆有顯著較參考族群高的現象,尤其該鄉男性居民的腸胃癌及骨癌死亡比有明顯偏高的情形。
      在標準化發生比分析部分,男性腎癌及女性白血病、腦癌、黑色素瘤發生率有逐年增加的趨勢。另外,雲林縣(包含工業區與非工業區)居民肝癌發生率明顯較台灣地區高,且D鄉男性肝癌發生率亦較非工業區居民高,但隨年代增加,其發生率卻有降低的趨勢。
      結合空氣擴散模擬所得之暴露資料、致癌風險評估及流病調查結果發現,以高雄工業區為例,居住於工業區附近居民的健康表現與工業區存在時間有某一程度的相關性。而在探討雲林工業區對居民健康的影響時,因考慮慢性疾病潛伏期及病因複雜的因素下,目前尚無法完全釐清雲林工業區對居民健康效應的影響,然而本次健康資料調查可在未來雲林工業區長期開發後,作為評估居民健康的基線參考值。另外,由該鄉居民之疾病發生比及死亡比結果顯示當地居民之疾病死亡及發生情形可能在非工業區污染影響下,其基線背景值已有相對較高的現象,須進一步探討其他可能暴露來源。

     Over the decades, petrochemical industry plays an important role in the economic development and prosperity of Taiwan. Meanwhile, it is an important emission source for atmospheric VOCs as some specific VOCs are attributable to human carcinogenic effects and respiratory diseases. The conclusions, yet, have not been exactly consistent due partly to the different study groups, individual susceptibility, latency period of disease, research method and incomplete exposure data when the investigation took place. Therefore, this study aimed to examine the health effects of residences by exposure data, risk assessment and epidemiologic investigation near the two petrochemical industries of different developing time in Taiwan. The Kaohsiung and Yunlin petrochemical industry were selected as exposure areas and the cancers, respiratory system, nerve system and cardiovascular diseases were chosen to be index diseases. Exposure scenarios based on the emission data and risk assessment profiles were quoted from the related studies. SIR and SMR were calculated to examine the health implication for living around the neighborhood of industrial of petrochemical factories.
     The risk assessment was estimated by the exposure scenarios based on the emission data collected for selected carcinogenic VOCs emitted in Kaohsiung petrochemical industries. The results showed that the personal lifetime cancer risks of residences near the Kaohsiung petrochemical industries were higher than 10-6, and most of the villages were at high risk of hazardous health effects. However, the lifetime cancer risk values higher than 10-6 that evaluated based on environment impact assessment and permitted emission value by EPA were located in the exposure zones, except for the lifetime cancer risk of benzene.
     In 1981-2003, the crude mortality of male and female were 6.22% and 4.06 ‰, respectively, in Kaohsiung studying area. The crude mortality of male and female were 8.73 ‰ and 7.01 ‰, respectively, in Yunlin studying area in 1996-2003. The crude mortality of liver cancer was highest in both areas. For the investigation of SMR for index diseases in these study areas, when using either the entire population of Taiwan or only those residents of Kaohsiung/Yunlin County as the reference group, the SMR of total death, total cancer for males and the cancer of other ingestive organs and peritoneum, COPD with bronchiectasis, Brain blood vessel diseases for females appeared to be higher. Moreover, the SMR of some diseases increased as the time passed by. In the other studying area, the SMR of liver cancer, lung cancer, heart diseases and Brain blood vessel diseases appeared to be higher.
     The SIR of kidney cancer for male and leukemia, brain cancer, melanoma for female were a steadily increasing trend in Kaohsiung study areas. In general, the SIR of liver cancer was significantly higher in the industry and non-industry areas in Yunlin County, but the morbidity decreased.
     The results from the exposure assessment, risk assessment and epidemiologic study were consistent in suggesting the exposure time to emissions on the health effects of residences near the petrochemical industry. However, the causal relationship should be affirmed by adjusting the confounding factors. Though no absolute conclusions can be properly drawn at this point, the results are apt to serve as reference to form a future management plan for factories in these complexes.

    中文摘要…Ⅰ 英文摘要…Ⅲ 誌謝…Ⅴ 目錄…Ⅵ 表目錄…Ⅷ 圖目錄…XI 第一章 緒論…1 1-1 研究緣起…1 1-2 研究目的…3 第二章 文獻回顧…4 2-1台灣主要石化工業區發展概述…4 2-2石化工業相關之空氣污染調查研究成果…6 2-3 石化污染物暴露相關劑量效應影響之致癌研究資料…7 2-4 非揮發性有機物空氣污染相關之研究…10 2-5 石化工業區之流行病學調查研究…11 2-6 石化工業區之致癌風險評估…13 第三章 材料與方法…15 3-1 研究區域選擇…17 3-2 暴露及風險評估資料建立…17 3-3 指標疾病選擇…18 3-4 資料收集…19 3-4-1 癌症發生檔案、死亡檔案之收集…19 3-5 分析方法…20 第四章 結果與討論…24 4-1 暴露資料及致癌風險評估結果…24 4-1-1高雄石化工業區之研究結果整理…24 4-1-2雲林工業區之研究結果整理…25 4-2 死因登記資料之統計分析結果…25 4-2-1 研究地區之疾病粗死亡率…26 4-2-2 A、B、C三鄉鎮合計之標準化死亡比分析(SMR, standard mortality ratio)…27 4-2-2-1 民國70至92年共23年總和所計算之疾病死亡比…28 4-2-2-2 民國60-92年分年度A、B、C三鄉鎮合計之標準化死亡比趨勢分析…31 4-2-3 D鄉之標準化死亡比分析(SMR, standard mortality ratio)…39 4-2-3-1 民國85至92年共八年總和所計算之疾病死亡…39 4-3 癌症登記資料之統計分析結果…41 4-3-1 研究地區之疾病粗發生率…41 4-3-2 A、B、C三鄉鎮合計之標準化發生比分析(SIR, standard incidence ratio)…42 4-3-2-1 民國68-72年、民國73-77年、民國78-83年、民國84-88年所計算之疾病發生比及趨勢分析…42 4-3-3 D鄉之標準化發生比分析(SIR, standard incidence ratio)…46 4-3-3-1 民國85-90年分年度之癌症發生比及趨勢分析…46 4-4 石化工業區居民健康危害之綜合評估…48 第五章 結論與建議…52 第六章 參考文獻…56

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