本研究調查台灣兩處水體，代表休憩水體的台南運河、及飲水水源的鳥嘴潭人工湖，含硫臭味物質發生情形，並應用臭氧結合奈米氣泡技術，評估對代表性臭味物質之處理可行性。研究中結合感官評估與化學分析技術，分析內容包括使用嗅覺層次分析法(Flavor Profile Analysis, FPA)評估氣味特徵，氣相層析質譜儀(Gas chromatography/mass spectroscopy, GC/MS)結合固相微萃取(Solid phase microextraction, SPME)與氣相層析火焰光度檢測器(Gas chromatography/flame photometric detector, GC/FPD)作為化學分析方法，進行含硫臭味物質之定性及定量，並與各項水質參數進行比較。
現場調查結果顯示，臺南運河中各測站普遍檢出甲硫醇(methyl mercaptan, MeSH)、二甲基硫(Dimethyl sulfide, DMS)等含硫揮發性有機化合物(Volatile organic sulfur compounds, VOSCs)，此類化合物皆具有明顯之氣味特徵，其中MeSH常被描述為腐爛蔬菜或沼澤氣味，DMS則呈現甜玉米或海洋氣味。綜合感官與化學分析結果，MeSH被認為是造成臺南運河臭味問題的主要貢獻物質之一。然而，鳥嘴潭人工湖之臭味問題則未顯示與此類含硫物質有顯著關聯。
本研究亦設計氧化實驗，評估臭氧結合奈米氣泡(Nanobubble)技術對MeSH去除之可行性。結果顯示，該系統對於水中MeSH具有良好之降解效果，無論在濃度或氣味強度皆呈現下降趨勢。然而，其處理效率可能受限於水體中之天然有機物及金屬離子等因子干擾。未來建議針對各項潛在影響因子進行探討，以利實場應用與系統優化。

This study integrates sensory evaluation and chemical analysis techniques to investigate odor issues in two representative water bodies: the Tainan Canal and the Niaozueitan Artificial Lake. Odor characteristics were assessed using Flavor Profile Analysis (FPA), while chemical analysis involved gas chromatography/mass spectrometry (GC/MS) with solid phase microextraction (SPME) and gas chromatography/flame photometric detection (GC/FPD) to identify and quantify sulfuric odorous compounds.
Field investigations revealed that methyl mercaptan (MeSH) and dimethyl sulfide (DMS), both volatile organic sulfur compounds (VOSCs), were frequently detected in the Tainan Canal. MeSH is typically described as rotten vegetables or marsh-like, while DMS has a sweet corn or marine odor. Both sensory and chemical results indicated that MeSH is a major contributor to odor in the canal. In contrast, sulfur compounds were not identified as the main odor sources in the Niaozueitan Lake.
Batch oxidation experiments were conducted to evaluate the use of ozone (O₃) combined with nanobubble technology for MeSH removal. The system effectively reduced MeSH concentration and odor intensity. However, treatment efficiency may be affected by natural organic matter (NOM) and metal ions. Further studies are recommended to explore these factors for future field applications.

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