過去研究顯示，食用多氯戴奧辛/呋喃(Polychlorinated dibenzo-p-dioxin/furans, PCDD/Fs)含量高之污染牧草為部分市售牛羊肉品及乳品中PCDD/Fs含量偏高的主因。因此，建立牧草安全生產機制有其必要性且刻不容緩。
由於臺灣之牧草生產區域佔地零碎且分布極廣，若實地逐一量測各生產區域牧草中PCDD/Fs之濃度將耗費龐大的時間與經濟成本支出且緩不濟急，因此本研究擬結合大氣擴散模擬模式及多介質模式之應用，透過修正模式參數後使其可有效且快速評估牧草中PCDD/Fs之含量。臺灣地區牧草種植以狼尾草、盤固拉草及青割玉米為最大宗，因此本研究亦分區探討不同牧草種類PCDD/Fs之含量情形。
首先選擇臺灣地區PCDD/Fs排放量較高且同時為酪農戶集中之A、B縣市為研究區，並以相對工業污染源較少之C、D縣市為對照組。以環保署「戴奧辛排放源資料庫及環境介質查詢系統」整理研究區內PCDD/Fs排放源排放資料，及2003-2005年氣象資料及相關環境參數，利用空氣擴散模式(ISC-ST3 Model)進行牧草生產區域空氣中PCDD/Fs濃度及沈降量模擬，再將模擬結果以多介質模式(Multimedia Model)推估研究區內不同牧草中PCDD/Fs之濃度，最後以此推估結果與歐盟植物性飼料中PCDD/Fs管制規範標準進行比較後，透過地理資訊系統（GIS）於空間上加以標示，進一步劃定牧草安全生產區域，提供施政者與管理者建立牧草安全生產機制之依據。
本研究利用先前研究實測牧草中PCDD/Fs濃度值與多介質模式模擬值相比較後，結果顯示兩者相差比例在可接受的範圍，進一步肯定本研究中利用多介質模式推估各牧草中PCDD/Fs濃度值之可行性。利用ISC-ST3模擬大氣中PCDD/Fs濃度及總沈降量結果顯示，A縣市模擬值最高而D縣市模擬值最低；透過多介質模式推估各牧草中PCDD/Fs平均濃度值之結果則發現冬季各縣市牧草PCDD/Fs濃度值皆最低。此外，A縣市各牧草中PCDD/Fs模擬平均濃度值在春季、夏季與秋季皆超過歐盟植物性飼料規範標準0.75(ng WHO98-TEQPCDD/F/kg, 12% H2O)，其餘縣市之牧草則符合歐盟管制規範標準。
本研究中所推估之PCDD/Fs排放量僅包含環保署列管之固定排放源，未納入未列管的固定排放源、汽機車等移動污染源、露天燃燒、土壤揚塵等。建議完善國內未受控制之排放源資料庫之建置，以使日後在進行相關PCDD/Fs之風險暴露評估上能更為周全，及進一步蒐集健全之PCDD/Fs排放資料，建立更加趨近實測情況之模擬模式。

Literatures showed that the higher PCDD/Fs levels in beef, mutton and milk were related to the higher PCDD/Fs levels in forages. Therefore, the establishment of clean and safe measures for forage production is too impatient to wait.
Because of the livestock farm not only wide but scrappy, it will highly cost on manpower and economical recources by field survey in each place. This study is aimed to simulate the PCDD/Fs levels of forage from the pastures nearby the PCDD/Fs emission sources and to assess the contribution of those sources, and then establish the clean and safe zones for forage production. Three types of forage plant which are most commom used and planted on the livestock farm, Napiergrass, Pangolgrass and Silage Corn are selected to simulate PCDD/Fs levels.
A and B County were chosen to be conducted in this study, because their high emissions of PCDD/Fs, high density of dairy farm and high production of forage. C county and D County were chosen as control area, because they also have wide pasture and less contaminated by PCDD/Fs. The basic information of pastures, dairy farm, PCDD/Fs emission sources and meteorological data were collected and the data were applied to simulate ambient levels and deposition of PCDD/Fs by atmospheric dispersion model (ISCST3). Then, the Multimedia model was applied to estimate the PCDD/Fs concentrations of environmental media and forage. The results were compared with the maximum limits for PCDD/Fs in feeding stuffs of EU. Finally, the spatial distribution of clean and safe pasture area were mapped by using the geographic information system (GIS).
After comparing the simulated PCDD/Fs level to measured PCDD/Fs level of forage plants, the results show the range of their difference was acceptable. As above we could conclude that using multimedia model to simulate the PCDD/Fs level of forages in this study is practicable. The results of ambient PCDD/Fs level and total deposition by using ISC-ST3 atmospheric dispersion model reveal that A County was higher than others and D County was lowest. After using multimedia model to simulate the PCDD/Fs level of forages, we found that all counties have the lowest PCDD/Fs level of forage in winter. Besides, the simulated PCDD/Fs level of three kinds of forages in A County were higher than EU maximum limits (0.75 ng WHO98-TEQPCDD/F/kg, 12% H2O).
We only included the PCDD/Fs emission data of the emission sources investigated by Taiwan EPA in this study, and the emission sources which not investigated by Taiwan EPA and some moving emission sources such as motorcycles, burning outdoors and flying dust from soil were excluded.

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