School of Management Science and Engineering, Shandong Institute of Business and Technology, Yantai, 264005, China.
Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.
Mar Environ Res. 2022 Dec;182:105799. doi: 10.1016/j.marenvres.2022.105799. Epub 2022 Nov 3.
Chemometric methods have unique advantages regarding comprehensive consideration of multiple parameters and the classification of samples or variables. Classification of oil spill sources was carried out by using chemometric techniques, such as Repeatability Limit, hierarchical cluster analysis (HCA), Student's t-test and Principal component analysis (PCA) Biplot. In addition, this paper takes the fingerprint identification of a Dalian "7.16″ oil spill accident as an example to illustrate the effectiveness of chemometric techniques in oil identification. PCA scores plot (explaining 82.77% of variance accounted for three PCs) showed that samples belong to four clusters and result of HCA method further confirmed that. The residual oil in Jinshatan Beach and Haibei Square may be caused by the explosion of Dalian "7-16" oil pipeline accident. The use of chemometric techniques is significant in providing independent validation for classifying the types of spilled oil in the investigation of oil spill pollution. The results will be of great significance to improve the accuracy and efficiency of oil spill identification based on oil fingerprint.
化学计量学方法在综合考虑多个参数和对样品或变量进行分类方面具有独特的优势。本文采用重复性限、层次聚类分析（HCA）、学生 t 检验和主成分分析（PCA）Biplot 等化学计量学技术对溢油源进行分类。此外，本文以大连“7·16”溢油事故指纹识别为例，说明了化学计量技术在油类识别中的有效性。PCA 得分图（解释了三个主成分占 82.77%的方差）显示，样品属于四个聚类，HCA 方法的结果进一步证实了这一点。金马滩和海贝广场的残余油可能是由大连“7-16”输油管道爆炸事故引起的。化学计量学技术的使用在为溢油污染调查中溢油类型的分类提供独立验证方面具有重要意义。这些结果将极大地提高基于油指纹识别溢油的准确性和效率。
