Fuel spill identification by gas chromatography -- genetic algorithms/pattern recognition techniques
- 1. Clarkson Univ., Potsdam, NY (United States). Dept. of Chemistry
- 2. AFCESA/RDVC, Tyndall AFB, FL (United States)
- 3. Mississippi Valley State Univ., Itta Bena, MS (United States). Dept. of Computer Science
Description
Gas chromatography and pattern recognition methods were used to develop a potential method for typing jet fuels so a spill sample in the environment can be traced to its source. The test data consisted of 256 gas chromatograms of neat jet fuels. 31 fuels that have undergone weathering in a subsurface environment were correctly identified by type using discriminants developed from the gas chromatograms of the neat jet fuels. Coalescing poorly resolved peaks, which occurred during preprocessing, diminished the resolution and hence information content of the GC profiles. Nevertheless a genetic algorithm was able to extract enough information from these profiles to correctly classify the chromatograms of weathered fuels. This suggests that cheaper and simpler GC instruments ca be used to type jet fuels
Additional details
Publishing Information
- Journal Title
- Analytical Letters
- Journal Volume
- 31
- Journal Issue
- 15
- Journal Page Range
- p. 2805-2822
- ISSN
- 0003-2719
- CODEN
- ANALBP
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 30021595
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; S02: PETROLEUM;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- DATA ANALYSIS; EXPERIMENTAL DATA; GAS CHROMATOGRAPHY; OIL SPILLS; PATTERN RECOGNITION; PETROLEUM; QUALITATIVE CHEMICAL ANALYSIS; QUANTITATIVE CHEMICAL ANALYSIS; WATER POLLUTION
- Descriptors DEC
- ACCIDENTS; CHEMICAL ANALYSIS; CHROMATOGRAPHY; DATA; ENERGY SOURCES; FOSSIL FUELS; FUELS; INFORMATION; NUMERICAL DATA; POLLUTION; SEPARATION PROCESSES