本文選題：多維標(biāo)度法 + 油指紋鑒別��； 參考：《海洋環(huán)境科學(xué)》2017年04期

【摘要】：本文采用GC-MS離子選擇方法,分析了6種不同溢油樣品的油指紋診斷比值參數(shù),利用多維標(biāo)度法鑒別了6種不同溢油樣品,并與重復(fù)性限法進(jìn)行了比對(duì)分析。結(jié)果表明:多維標(biāo)度法可高效進(jìn)行大量樣品油指紋分析的同時(shí)鑒定,能直觀(guān)的表現(xiàn)研究對(duì)象之間的關(guān)系,實(shí)現(xiàn)油樣的分類(lèi)鑒別;多維標(biāo)度法與重復(fù)性限法相比,可簡(jiǎn)化兩兩樣品之間對(duì)比繁瑣的計(jì)算過(guò)程,避免不同油品多個(gè)診斷比值一致的情況下的誤判,從而有效彌補(bǔ)、完善重復(fù)性限法和其他方法的一些不足,為海洋溢油事故指紋鑒定提供一些借鑒。
[Abstract]:In this paper, GC-MS ion selection method is used to analyze the oil fingerprint diagnostic ratio parameters of six different oil spill samples, and six different oil spill samples are identified by using multidimensional scale method, and compared with the repeatability limit method. The results show that the multidimensional scaling method can be used to identify oil fingerprints of a large number of samples at the same time, which can directly express the relationship between the objects of study and realize the classification and identification of oil samples, and the multidimensional scaling method can be compared with the reproducibility limit method. It can simplify the complicated calculation process of comparison between two samples and avoid misjudgment in the case of multiple diagnostic ratios of different oil products, thus effectively making up for and perfecting some shortcomings of the repeatability limit method and other methods. It provides some reference for fingerprint identification of marine oil spill accident.
【作者單位】： 中國(guó)海洋大學(xué)環(huán)境科學(xué)與工程學(xué)院;
【基金】：海洋公益性行業(yè)科研專(zhuān)項(xiàng)(201205012)
【分類(lèi)號(hào)】：X55
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本文編號(hào)：1810695