應用MATLAB探討油汙染界線之研究

Application of MATLAB for Oil Contamination Edge

張翔智(Shing-Jhih Chang)

指導教授 ： 陳水龍

國立臺北科技大學/工程學院/土木與防災研究所/碩士(2012年)

摘要

環境污染一直是近年臺灣重視的課題，一般常見的有廢棄物、廚餘、建築物、水污染、油污染、空氣污染和噪音污染等，在所有環境污染中，就屬地下有機汙染問題最為嚴重，目前國內地下有機污染偵測都偏向於非水相液體(NAPL)，即為有機碳氫化合物，NAPL在與水接觸後，會形成一種水壁壘分明之獨立體，因而產生NAPL與水不相容之現象，非水相液體依其比重分類可分為重-非水相液體(DNAPL)和輕-非水相液體(LNAPL)兩類，其中LNAPL因比重上比水輕、凝聚性差且易殘留於地下水面，不易偵測污染處與範圍，在考量不破壞現場之因素，我們必須仰賴非破壞性技術來進行檢測，例如：透地雷達，只因雷達檢測後的影像過於複雜，大幅增加分析與解釋的難易度，須經由經驗豐富之專業人員來鑑別，為了能增加判讀之便利性，需加入其他方法或是工具來輔佐雷達影像，使資料更能完整的呈現出來。
本研究利用彭騰衝(2007)之研究資料搭配MATLAB程式來進行分析，先進行判別地下有污染和無污染的區分，再利用自行撰寫的MATLAB程式碼來定義兩者之分界線，最後採用鑽孔資料來進行驗證，研究結果證實透地雷達MATLAB影像處理能夠呈現出比原始影像較好之成果，藉此做為日後研究污染案例之參考。

關鍵字

輕-非水相液體 ； 非破壞檢測 ； 透地雷達 ； MATLAB ； 影像處理

並列摘要

Environmental pollution has been an important issue in Taiwan. Pollution from garbage, kitchen waste and architecture, water pollution, underground contamination, air pollution and noise pollution were the most commonly seen. Among which, underground contamination was the most serious. In Taiwan, the probe into underground organic pollution, at present, was mainly on Non-Aqueous Phase Liquid (NAPL) which was a kind of organic hydrocarbon compound. After NAPL contacted water, it would become independent of water, which means NAPL was incompatible with water. Based on its specific gravity, NAPL could be categorized into Dense Non-Aqueous Phase Liquid (DNAPL) and Light Non-Aqueous Phase Liquid (LNAPL). The specific gravity of LNAPL was lighter than water. In addition, it had bad cohesiveness and was easy to remain on water table; thus, it was difficult to detect the location and range of the pollution. Therefore, we had to depend on nondestructive surveying technique like ground penetrating radar because the area being detected could not be destructed. However, the images from the radar were too complicated to analyze and interpret, so it had to be identified by experienced professionals of this field. In order to increase the convenience, other methods or tools were used to assist the images from the radar, so that the data could be displayed more completely.
The study was compiled on the basis of the research information of Teng-Chong Peng (2007), along with the analysis of MATLAB program. First, an underground area had to be differentiated if it was contaminated, and then, the self-written MATLAB code was used to discriminate contaminated and uncontaminated areas. Last but not the least, drill data was used to prove the information. The results verified that the images from the MATLAB image processing of ground penetrating radar were superior to the original images. Therefore, the results of the study could be a reference to the research of pollution in the future.

並列關鍵字

LNAPL ； Non Destructive Testing ； Ground Penetrating Radar ； MATLAB ； Image Processing

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