Open AccessMeasurement and Modeling of Temporal Variations in Hydrocarbon Vapor Behavior in a Layered Soil Profile
Author(s) -
Davis G. B.,
Rayner J. L.,
Trefry M. G.,
Fisher S. J.,
Patterson B. M.
Publication year - 2005
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2004.0029
Subject(s) - vadose zone , hydrocarbon , soil horizon , soil science , sink (geography) , environmental science , penetration (warfare) , moisture , water content , coring , biodegradation , soil water , soil gas , environmental chemistry , hydrology (agriculture) , geology , chemistry , geotechnical engineering , materials science , organic chemistry , drilling , cartography , operations research , engineering , metallurgy , geography
Fine‐scale measurement of gasoline vapors, major gases (O 2 , CO 2 , N 2 , and CH 4 ), residual nonaqueous phase liquid (NAPL) gasoline, and soil physical properties has allowed detailed assessment of the role of soil layering and seasonal variability on hydrocarbon vapor fate and biodegradation. In this study we conducted coring and static depth profile monitoring at the end of summer and end of winter for a layered sandy vadose zone in Perth, Western Australia. Transient on‐line monitoring of vapors and O 2 was also performed with in situ multilevel volatile organic compound (VOC) and O 2 probes. For high soil moisture contents at the end of winter, vapors were shown to accumulate beneath a compacted, cemented layer approximately 0.3 m below the ground surface, and O 2 penetrated only to depths of 0.4 m below ground. At the end of summer, when soil moisture was lower, O 2 penetrated to depths of up to 1.5 m, and hydrocarbon vapors remained at or below this depth. Regardless of seasonal changes, sharp separations were seen between the depth of O 2 penetration from the ground surface and the depth of penetration of the vapors upward from the hydrocarbon‐contaminated zone. Modeling of steady‐state O 2 profiles indicated that a number of simple O 2 consumption models might apply, including point‐sink, distributed zero‐order, or distributed first‐order models, each leading to different biodegradation rates. Combining independent data with modeling helped determine the most appropriate model, and hence estimates of O 2 consumption and hydrocarbon biodegradation. Also, reliable estimates of the biodegradation rate could only be calculated after consideration of the layered features.