環境資源報告成果查詢系統

106年度雲林縣沿海地區健康風險評估計畫

中文摘要 為探討離島工業區自竣工營運後至今對當地民眾健康的影響,本計畫收集過去針對離島工業區進行各種監測的數據與資料,包括環境資料如氣象資料、特殊性工業區資料、歷年石化監測車資料與多介質資料等;毒理資料如各化學物之之健康效應、暴露法規標準、生物檢測、毒理動力學和作用機制等。本計畫透過文獻比對針對工業區 IARC-2B 及以上之有害化學物質,比對相關環境監測清單,選定健康風險評估的揮發性有機化合物物種包含氯乙烯、1,3-丁二烯、1,2-二氯丙烷、苯、三氯乙烯、二氯甲烷、四氯乙烯、三氯甲烷、乙基苯、異丙苯、異戊二烯、苯乙烯、1,2-二溴乙烷、1,2-二氯乙烷、1,4-二氯苯、四氯化碳共 16 種化學污染物。本計畫建構 CMAQ-SMOKE-WRF 模式進行空氣污染物擴散模擬結合 CalTOX進行多介質暴露濃度推估,以達成暴露推估,整合相關資料同化以及多介質模式架構,對於暴露濃度模擬進行相關校正以及多介質濃度推估。本計畫推估 2016 年全年每小時 16 種關切化學物質於研究區之空氣濃度空間分布,其推估結果之全年平均值以及單小時最大值之空間分布值。進而進行多介質健康風險評估。在健康風險評估架構部份,本計畫評估沿海地區居民之量化健康風險,分別探討慢性、急性及敏感族群的健康風險。其中,慢性健康風險分別探討致癌風險與非致癌風險,而急性健康風險則探討以 24 小時暴露、8 小時暴露或是 1 小時暴露為主之非致癌風險。結果顯示,16 種化學物質之終生致癌風險之中位數範圍在 2.71x10^-11 到 3.02x10^-6 之間;終生致癌風險之第 95 百分位數範圍在 2.65x10^-9 到 4.13x10^-4 之間,整體來說,因各污染物於台西鄉之總暴露濃度相較於麥寮鄉略高,有因此健康風險中位數較高,但因計算之不確定性,因此並無顯著差異。在非致癌風險部分,以危害因子進行評估,16 種化學物非致癌 HI 評估結果之中位數介於2.04x10^-7 到 2.28x10^-2 之間,而第 95 百分位數的範圍則介在1.77x10^-5到2.66x10^0之間,在對於急性非致癌風險以每小時或每天之暴露濃度估算短期危害指標,結果在麥寮與台西之 16 項化學物質之 HIst 範圍在 1.20x10^-4 到 8.30x10^0 之間。在敏感族群健康風險部分,主要針對台西鄉國小區域受到氯乙烯及苯暴露進行健康風險評估,其中,在致癌風險部分,橋頭國小的氯乙烯及苯之終生致癌風險平均值分別為 3x10^-6 與 4.99x10^-7、第 95 百分位數分別為 5.19x10^-6 與 7.26x10^-7;許厝分校的氯乙烯及苯之終生致癌風險平均值分別為 2.92x10^-6 與 5.07x10^-7、第 95 百分位數分別為 5.11x10^-6 與 7.43x10^-7,在慢性非致癌風險部分,橋頭國小的氯乙烯及苯之 HI 平均值分別為 1.59x10^-2 與 9.94x10^-3、第 95 百分位數分別為 2.76x10^-2 與1.45x10^-2;許厝分校的氯乙烯及苯之 HI 平均值分別為 1.55x10^-2 與 1.01x10^-2、第95 百分位數分別為 2.70x10^-2 與 1.47x10^-2,在急性非致癌風險部分,橋頭國小的氯乙烯及苯之最高濃度分別為 52.7 與 66.0、HIst 分別為 0.1 與 6.2;許厝分校的氯乙烯及苯之最高濃度分別為 46.9 與 32.0、HIst 分別為 0.1 與 3.0。而研究區內敏感族群不同國小之學童之健康風險並無顯著差異。
中文關鍵字 健康風險評估、資料庫建置、大氣擴散模式、多介質傳輸模式

基本資訊

專案計畫編號 106-035 經費年度 106 計畫經費 4020 千元
專案開始日期 2017/09/13 專案結束日期 2018/09/12 專案主持人 余化龍
主辦單位 雲林縣環境保護局 承辦人 陳欣地 執行單位 國立台灣大學生物環境系統工程學系暨研究所

成果下載

類型 檔名 檔案大小 說明
期末報告 106年度沿海地區健康風險評估計畫成果報告-定稿本.pdf 23MB

Assessing Health Risk of Residents Nearby the Coastal Area of Yunlin County

英文摘要 In order to evaluate the health impact of the Yunlin offshore industrial park on the local community, this project culminated relevant literatures and data regarding spatial temporal distribution of multimedia pollutants in the Yunlin vicinity. Collated observational datasets is divided into meteorological data, pollutant concentration observation and pollutant toxicity records. Meteorological data sourced from the Central Weather Bureau, Taiwan EPA, and various meteorological data source. Observation data sources include the special industrial zone air monitoring program, Taiwan EPA monitoring station(photochemical/air quality), mobile petrochemical monitoring vehicles and other multi-media observation data in the relevant literatures. Toxicological data such as the health effects of various chemicals used in relevant exposure regulation,biological testing, toxicological dynamics and human activity pattern studies. This project compares the hazardous chemicals in the industrial zone IARC-2B and above through the literature, and compares the relevant environmental monitoring list. 16 VOC species were selected for the health risk assessment including vinyl chloride, 1,3- butadiene, and 1,2-dichloropropane, benzene, trichloroethylene, dichloromethane, tetrachloroethylene, chloroform, ethylbenzene, cumene, isoprene, styrene, 1,2-dibromoethane, 1,2-dichloroethane, 1,4-dichlorobenzene and carbon tetrachloride. This project developed a CMAQ-SMOKE-WRF-CalTOX model to estimate multi-media exposure concentration for exposure estimation in the health risk assessment. The modelling processes include assimilation of relevant observation data to approximate the real health exposure to reconstruct the spatio- temporal distribution of the exposure concentration of 2016 in Yunlin. The consequent multi- media health risk assessment assesses the quantitative health risks in Yunlin. The health risks are characterised as cancer risk and non-carcinogenic risk(acute and chronic) for sensitive groups defined. This project assess the acute risks with 24-hour exposure, 8-hour exposure or 1-hour exposure while chronic risk are estimated with mean concentration. The estimated cancer risk(median) for the 16 targeted species ranging from 2.71x10^-11to 3.02x10^-6 and the lifetime cancer risk(95th percentile) ranging from 2.65x10^-9 to 4.13x10^-4 generally have slightly higher risk in Taixi Township than Maiqi Township. Although, this difference is not statistically significant. In the non-carcinogenic risk component, the hazard factor was evaluated. The median number of 16 chemical non-oncogenic HI assessments ranged from 2.04x10^-7 to 2.28x10&-2 , while the 95th percentile range was Between 1.77x10^-5 and 2.66x10^0, short-term hazard indicators are estimated at hourly or daily exposure concentrations for acute non-cancer risk, resulting in a HIst range of 16.20x10^-4 for 16 chemical substances in Mailio and Taixi. In the health risk part of sensitive population, the health risk assessment of vinyl chloride and benzene exposure is mainly targeted at the small area of Taixi Township. Among them, in the risk of cancer, the average cancer risk of small vinyl chloride and benzene in Qiaotou is 3x10^-6 and 4.99x10^-7, the 95th percentile were 5.19x10^-6 and 7.26x10^-7 respectively; the average risk of carcinogenicity of vinyl chloride and benzene at Xufu Campus was 2.92x10^-6 and 5.07x10^-7 , respectively. The 95th percentiles are 5.11x10^-6 and 7.43x10^-7, respectively. In the chronic non-carcinogenic risk, the average HI of vinyl chloride and benzene in Qiaotou is 1.59x10^-2 and 9.94x10^-3, respectively. The 95th percentile is 2.76x10^-2 and 1.45x10^-2 respectively. The average HI of vinyl chloride and benzene at Xufu is 1.55x10^-2 and 1.01x10^-2 , respectively. The 95th percentile is respectively For 2.70x10^-2 and 1.47x10^-2, in the acute non-carcinogenic risk part, the highest concentrations of vinyl chloride and benzene in Qiaotou are 52.7 and 66.0, respectively, and HIst are 0.1 and 6.2, respectively; The highest concentrations were 46.9 and 32.0, respectively, and HIst were 0.1 and 3.0, respectively. There were no significant differences in the health risks of children with different ethnic groups in the study area.
英文關鍵字 health risk assessment, database construction, air dispersion model, multimedia model