105年臺中市后里區、西屯區、大雅區及港區(大肚、清水、沙鹿、梧棲、龍井)居民空氣污染物暴露評估計畫
中文摘要 | 本計畫目標利用后里區、西屯區、大雅區及港區空氣污染物之暴露資料,評估居民健康狀況與空氣污染物暴露之關聯。計畫內容包含(1)利用ISCST3進行大氣擴散模式模擬(2)文獻回顧及過去執行的健康風險評估報告內容彙整(3)利用監測車監測資料進行居民特定環境污染物之暴露評估(4)計算臺中市不同地區各項健康指標的時間趨勢以及地區差異分析(5)中部科學臺中園區、中部科學后里/七星園區、及臺中港區在民國91-92年、民國95-96年以及民國99-100年的健康指標差異(6)利用臺中市空品測站以及「環境污染物調查計畫」之結果,進行居民暴露與健康指標關聯性之分析。期末報告共分兩大冊,上冊642頁,下冊527頁。結果顯示(1)利用ISCST3模擬臺中市固定污染源之擴散趨勢的結果顯示,固定污染源的擴散與風場分布有很高的相關性,主要影響範圍為排放源及其下風區域。(2)回顧文獻顯示無論長期或短期暴露PM2.5皆會出現不良的健康效應,雖然在過去臺中市健康風險評估報告中,估算之風險值都在可接受範圍,但仍需注意暴露空氣污染之健康危害。(3) 監測車103-105年所能測到的第1級、第2A及第2B級化合物共有13種,數據顯示空氣中存在相當之濃度,應持續追縱與移除。(4)本計畫將本市29個行政區健康指標之時間趨勢和地區差異用圖像表列,供研究假說建立的參考。(5)中部科學臺中園區、中部科學后里/七星園區、及臺中港區在民國91-92年、民國95-96年以及民國99-100年的健康指標差異或趨勢也同時存在於臺中市其21區或全國(不包含臺中市),因此,對於健康指標的差異是否與工業區的開發有關,仍需進行更深入的研究與探討。(6)空氣污染物與健保資料庫的相關分析結果,有出現合理及不合理的結果,由於健保資料庫所使用地區為投保所在地,無法反映個人的暴露狀況,也無法調整相關的干擾因子,因此,健保資料庫與空氣污染物之相關性分析結果僅做為進一步研究假說的參考。(7)本計畫額外加值建置完成GIS地理資訊系統,將臺中市29個行政區歷年之健康指標進行互動式平台查詢(http://taichung.csmu-liawyp.tw:323/),希望能提供未來研究假設擬定及政府單位參考。本計畫因為資料限制,無法正確反應長期暴露量,也無法正確反應研究個案的真正暴露,並且未能考慮重要的干擾因子及疾病潛伏期。因此,無法反應暴露與疾病的因果關係。本計畫空氣污染與健康的關係,結果僅供研究假說參考,無法做為相關訴訟、賠償或學術論文引用之根據,但個別的暴露資訊及健康指標地圖可供政策參考。 | ||
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中文關鍵字 | 空氣污染,暴露評估,ISCST3,健保資料庫,健康指標 |
基本資訊
專案計畫編號 | P0706 | 經費年度 | 105 | 計畫經費 | 9400 千元 |
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專案開始日期 | 2016/02/18 | 專案結束日期 | 2017/02/18 | 專案主持人 | 廖勇柏 |
主辦單位 | 臺中市政府環境保護局 | 承辦人 | 劉茲菁 | 執行單位 | 中山醫學大學 |
成果下載
類型 | 檔名 | 檔案大小 | 說明 |
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期末報告 | P0706期末報告定稿 (本文及勘誤表 ).pdf | 39MB |
Air Pollution Exposure Assessment of Houli, Situn, Daya, Dadu, Cingshuei, Shalu, Wuci, Longjing District in Taichung 2016
英文摘要 | The purpose of this project is to evaluate the relationship between the health status of the residents and exposure to air pollutants using the air quality data from Houli, Xitun, Daya, and Taichung Harbor districts.。The project include (1) the use of ISCST3 in the atmospheric diffusion model simulation (2) Literature review and a summary of previous health risk assessment report (3) Monitoring vehicles to detect exposure to environmental pollutants among the residents(4) to calculate the differences in the time trend of health indicators in different regions in Taichung (5) The difference in health indicators in Central Taiwan Science Park Bureau in Taichung, Houli and Taichung Harbor districts from the 2002-2003, 2006-2007, and 2010-2011. (6) Analyzing the relationship between exposure and health indicators using data from the air quality monitoring station and results from the environmental pollution survey Project. The results are as follows: (1) the use of ISCST3 in the atmospheric diffusion model shows a high correlation between diffusion distributions of fixed pollution sources and wind field distribution. (2) The reviewed literature described whether long-term or short-term exposure PM2.5 will have adverse health effects, although past reports evaluating Taichung City Health Risk Assessment showed that the estimated risk value was acceptable. However, attention must still be paid on the adverse effect of exposure to air pollution. (3) There are 13 compounds in Class 1, Class 2A, and Class 2B compounds that can be measured from 2014-2016. The data show that there is a considerable concentration of air quality which should be continuously traced and removed. This project shows the differences in time trends of health indicators of the 29 administrative regions in the form of graphs which could serve as reference to develop research hypothesis. (5) The difference in health indicators in Central Taiwan Science Park Bureau in Taichung, Houli and Taichung Harbor districts from the 2002-2003, 2006-2007, and 2010-2011 also similar to those in 21 other regions in Taichung with the exception of Taichung City. Thus, whether a relationship exist between health indicators and developed industrial areas still need to be explored in future research. (6) The relationship between the air pollutants and Health insurance database is both reasonable and unreasonable because the place where one is insured cannot actually show personal exposure information and confounders cannot be adjusted. Thus, such results are just for reference purposes. (7) This project shows the differences in the annual trends of the 29 administrative regions in the form of graphs which have been constructed using the geographic information system (GIS). This interactive platform can be used to explore health indicators and can also serve as a reference for future research and relevant government units. | ||
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英文關鍵字 | Air Pollution, Exposure Assessment, ISCST3, National Health Insurance Research Database (NHIRD), Incidence, Mortality |