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成果專區
結案成果報告及摘要
專案基本資料
摘要下載
年度
113
專案性質
實驗性質
專案類別
研究專案
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
專案中文名稱
即時電(磁)法之風控加油站滲漏監測技術建置與發展
中文關鍵字
加油站監測平台、時域反射法、時變電阻法
專案英文名稱
.
英文關鍵字
.
執行金額
執行期間
2025/1/1
至
2025/11/30
計畫中文摘要
風險評估是國際間先進國家用來作為土壤污染土地再利用之政策工具,遭受污染的土地可以依據當地的現況及未來土地利用的規劃等條件,利用風險為基準的評估架構,找出可行的方案及整治的目標。如何替土地資源的使用尋找出路,如何為污染的土壤及地下水設計規劃整治的目標等,政策的推動方向是朝建立完善的健康風險評估機制,利用風險評估作為平台,將未來的不確定性,以土地使用的效益和使用後對人體健康的風險結合起來綜合考量。在風險評估指引中,將風險評估的執行劃分成三個層次,三個層次由簡單到複雜,各層次評估的過程中分別針對場址內與場址外,使用假設的暴露參數和採用現地的採樣資料,利用模式模擬之污染物濃度資料和現地採樣分析之濃度資料等,根據風險評估指引中建議之十種的暴露途徑,評估受體的暴露劑量。如何科學性評估與得到真實現地數據,變成說服民眾與 NGO 很重要的根據。所以本計畫預計延續計畫成果,建置一套加油站即時監測系統:含針對監測井建置 TDR 浮油監測系統,加油站下游側建置即時地電阻影像監測系統。透過單點即時監測井浮油數據與即時電性地層數據,即時回傳至監控中心, 本計畫會建置一套簡易風控加油站 GeoBIM(Geo-Building Information Model)平台,即時提供數據給相關人員,提供最新現地採集成果。發展地下污染風控監測的 GeoBIM 平台符合數位轉型與數位孿生(Digital Twin)的趨勢,未來還可以結合模擬分析的結果進行情境模擬與綜合評估。
計畫英文摘要
Risk assessment is a policy tool used by advanced countries worldwide for the redevelopment of contaminated land. Polluted sites can, based on local conditions and future land-use plans, employ a risk-based assessment framework to determine viable solutions and remediation targets. Key policy directions aim to establish a robust health risk assessment system that uses risk assessment as a platform to comprehensively evaluate the benefits of land use against potential health risks after usage, accounting for future uncertainties. Within the risk assessment guidelines, the execution of risk assessments is divided into three levels, ranging from simple to complex. Each level assesses both on-site and off-site conditions, utilizing hypothetical exposure parameters and on-site sampling data. This involves using models to simulate pollutant concentrations and analyzing concentration data from on-site sampling according to the ten exposure pathways suggested in the guidelines to assess the exposure levels of receptors. Scientific assessments and accurate field data are essential for gaining public trust and convincing NGOs. Therefore, this project aims to build on previous outcomes by establishing a real-time monitoring system for gas stations. This includes a TDR floating oil monitoring system for monitoring wells and a real- time electrical resistivity imaging system on the downstream side of gas stations. Through single-point, real-time data collection from monitoring wells and real- time geoelectrical data, the data will be instantly transmitted to a monitoring center. The project will also create a simplified GeoBIM (Geo-Building Information Model) platform for gas stations, providing real-time data to relevant personnel and displaying the latest field-collected results. The development of this GeoBIM platform for monitoring underground pollution risk management aligns with trends in digital transformation and digital twins, and it has potential to integrate simulation results for scenario modeling and comprehensive assessments in the future.