Application of MATLAB for Oil Contamination Edge
輕-非水相液體 ； 非破壞檢測 ； 透地雷達 ； MATLAB ； 影像處理 ； LNAPL ； Non Destructive Testing ； Ground Penetrating Radar ； MATLAB ； Image Processing
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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.
工程學 > 土木與建築工程
工程學 > 市政與環境工程