Characterization of hydrocarbon contaminated areas by multivariate statistical analysis: Case studies
β Scribed by Guadalupe Saenz; Nicholas E. Pingitore
- Book ID
- 104757393
- Publisher
- Springer
- Year
- 1991
- Tongue
- English
- Weight
- 800 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0167-6369
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β¦ Synopsis
Analysis of soil gases is a relatively rapid and inexpensive method to delineate and measure hydrocarbon contamination in the subsurface caused by diesel or gasoline. Techniques originally developed for petroleum exploration have been adapted to tracking hydrocarbons which have leaked or spilled at or below the earth's surface.
Discriminant analysis (a multivariate statistical technique) is used to classify soil gas samples of C L to C 7 hydrocarbons as biogenic (natural soil gases) or thermogenic (contaminant hydrocarbons). Map plots of C, to C 7 total interstitial hydrocarbons, C 2 to C 7 interstitial hydrocarbons, and C/EC, rations are used to further delineate and document the extent and migration of contamination.
Three case studies of the technique are presented: each involves leakage of hydrocarbons from underground storage tanks. Soil gas analysis clearly defines the spread of contamination and can serve as the basis for the correct placement of monitoring wells. The method proved to be accurate, rapid, and cost-effective; it therefore has potential for widespread application to the identification of soil and groundwater contaminated by hydrocarbons.
π SIMILAR VOLUMES
In this case study, the use of methods of multivariate statistical analysis appropriate for compositional data show that the chemical composition of the shell of the shallow-water marine ostracod species Leptocythere psamrnophifa depends not only on seasonal factors but also on geographical location