油气田环境保护2025，Vol.35Issue(3)：58-63,6.DOI:10.3969/j.issn.1005-3158.2025.03.010
基于指纹图谱相似度的溢油鉴别方法研究
Research on Oil Spill Identification Method Based on Fingerprint Similarity
摘要
Abstract
In this study,a digital identification method based on Gas Chromatography-Mass Spectrometry(GC-MS),and intelligent interpretation software of fingerprint spectrum similarity was established.Under the selective ion monitoring(SIM)mode,the response intensities of 86 individual biomarkers were determined,and relationships between field and suspected oil spill samples were clarified through similarities of cosine and entropy.With the above-mentioned method,oil spill samples collected from sea surface and beach in"7·16 Dalian Oil Pipeline Explosion Accident"were well sourced through comparison with 80 samples from national marine crude oil library.However,similarity between crude oil and oil spill samples weakened with the prolonged weathering period.Similarities of cosine and entropy varied from 93.1％-98.9％and 96.8％-99.3％and 95.1％-96.9％and 96.5％-98.8％for a 9-day weathering period of sea oil spillage and a 210-day weathering period of beach oil spillage,respectively.This indicates that threshold values of compliance assessment for short-term weathered sea oil spillage and long-term weathered beach oil spillage are 93％-100％and 95％-100％,respectively.关键词
生物标志物/溢油鉴别/GC-MS/数字化鉴别Key words
biomarker/oil spill identification/GC-MS/digital identification分类
资源环境引用本文复制引用
崔艺潇,马知遥,王教凯,孙禾琳,刘星,袁智泉,张硕..基于指纹图谱相似度的溢油鉴别方法研究[J].油气田环境保护,2025,35(3):58-63,6.基金项目
海洋油气开发生产水环境风险因子解析及环保对策研究项目(CCL2024RCPS0006PSN) （CCL2024RCPS0006PSN）
中国海油海洋环境与生态保护公益基金会项目(CF-MEEC/2022-19). （CF-MEEC/2022-19）
