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年度	112	專案性質	實驗性質
專案類別	模場試驗	研究主題	調查
申請機構	國立陽明交通大學	申請系所	防災與水環境研究中心
專案主持人	林志平	職等/職稱	特聘教授兼工學院院長
專案中文名稱	儲槽管線污染滲漏與加油站測漏管智慧監測技術(第二年)
中文關鍵字	儲槽管線洩漏、智慧監測技術、電磁波時域反射法
專案英文名稱	Intelligent leak detection monitoring technique for storage tank, pipeline, and leak detection pipe of petrol station
英文關鍵字	Intelligent monitoring,time-domain reflectometry,pollution leakage
執行金額	1,800,000元
執行期間	2023/12/18 至 2024/11/29
計畫中文摘要	國內加油站數量快速成長，然而隨環保意識高漲，對於加油站地下儲油 槽及管線滲漏所造成地下環境污染問題愈受重視。除了油品空氣逸散與洗車 廢水排放外，加油站地下儲油槽及管線等設施可能因施工品質不佳、防蝕設 計不良、或管理不當而發生破損銹蝕，使其中油品滲漏而污染地下環境。目 前的儲槽滲漏監測主要仍以儲槽周圍監測井的測漏管定期監測，若能發展槽 間或槽外表面的自動化監測系統，有助預防及儘早發現滲漏。因此，本次計 畫旨在建立數位智慧數據決策系統與自行研發電磁波感測器，並實際應用於 模場試驗，其中包括加油站與地下儲槽區。 本研究於兩年度內分階段研發建置基於時域反射(time-domain reflectometry, TDR) 技術的儲槽管線污染滲漏與測漏管浮油技術。於第一年 度完成儲槽管線滲漏之標準建置與分析方法以及自動化監測系統之架設，並 持續運行監測系統至今超過一年且收錄到現地事件發生之異常資料，進一步 驗證監測系統的穩定性及適用性；第一年度亦進行浮油監測技術之數值模擬 及室內實驗，初步探討量測分析方法之可行性，再於第二年發展合適之監測 策略：監測前期使用正規化局部互相關分析方法作為即早預警，當浮油層厚 度增加時，使用浮油層厚度校正之走時分析方法進行定量量測。最後提出創 新之頻率域全波形分析藉以精進量測之穩定性及準確性。透過自動化監測技 術在儲槽與管線洩漏監測管理中協助儘早發現及定位污染物滲漏，藉由源頭 污染防治，降低整體整治成本與提升整治成效，達到土壤與地下水污染預防 的效果。
計畫英文摘要	Petrol stations have grown rapidly in Taiwan, the issue of underground environmental pollution caused by the leakage from underground oil storage tanksand pipelines has attracted attentions from the rising awareness of environmental protection. Apart from the air escape of oil products and the discharge of wastewater, the underground oil storage tanks and pipelines of petrol stations may be damaged or rusted due to poor construction quality, poor anti-corrosion design,or improper management. All of these may lead to oil leakage into soil and groundwater environment. Current leakage monitoring of storage tanks is still based on regular monitoring of leak detection pipes in monitoring wells around the storage tanks. If an automatic monitoring system between tanks or on the outer surface of the tanks is developed, leak detection can be prevented as early detection is made possible. This project has established and applied a leak detection monitoring technique for storage tank, pipeline, and leak detection pipe of petrol station, which is based on the time-domain reflectometry (TDR) technique and self-developed electromagnetic wave sensors in a two-year phase. The automatic monitoring system and the standard application of storage tank and pipeline leak detection monitoring are built up in the model field in the first year. In the same year, numerical simulation and laboratory-scale experiments of floating oil monitoring in leak detection pipe progressed to evaluate feasibility and possibility. The monitoring strategy of partial normalized cross-correlation analysis and travel time calibration analysis was developed in the second year. For enhancement, the innovative full waveform frequency domain analysis is proposed to improve stability and accuracy. Through this real-time leakage monitoring technology, early detection of pollution leakage in storage tank, pipeline, and leak detection pipe is highly advantageous towards petrol station management. By counteracting from source pollution prevention and control, overall remediation cost can be reduced while enhancing its effectiveness, which ultimately achieving efficient soil and groundwater pollution prevention.