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    PLEASE SCROLL DOWN FOR ARTICLE

    This article was downloaded by: [Galperin, Yakov]

    On: 16 March 2011

    Access details: Access Details: [subscription number 790560981]

    Publisher Taylor & Francis

    Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-

    41 Mortimer Street, London W1T 3JH, UK

    Environmental ForensicsPublication details, including instructions for authors and subscription information:http://www.informaworld.com/smpp/title~content=t713770863

    On Methods for Age-Dating Diesel Fuel Released in the Near-SurfaceEnvironmentYakov Galperina; Isaac R. Kaplanba Environmental Geochemistry Consulting, Moorpark, CA, USA b Institute of Geophysics andPlanetary Physics, University of California, Los Angeles, CA, USA

    Online publication date: 16 March 2011

    To cite this Article Galperin, Yakov and Kaplan, Isaac R.(2011) 'On Methods for Age-Dating Diesel Fuel Released in theNear-Surface Environment', Environmental Forensics, 12: 1, 3 4

    To link to this Article: DOI: 10.1080/15275922.2011.547436URL: http://dx.doi.org/10.1080/15275922.2011.547436

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    http://www.informaworld.com/smpp/title~content=t713770863http://dx.doi.org/10.1080/15275922.2011.547436http://www.informaworld.com/terms-and-conditions-of-access.pdfhttp://www.informaworld.com/terms-and-conditions-of-access.pdfhttp://dx.doi.org/10.1080/15275922.2011.547436http://www.informaworld.com/smpp/title~content=t713770863
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    Environmental Forensics, 12:34, 2011

    Copyright C Taylor & Francis Group, LLC

    ISSN: 15275922 print / 15275930 online

    DOI: 10.1080/15275922.2011.547436

    On Methods for Age-Dating Diesel Fuel Released in theNear-Surface Environment

    Yakov Galperin1 and Isaac R. Kaplan2

    1Environmental Geochemistry Consulting, Moorpark, CA, USA2Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA, USA

    The editorial by Oudijk and Wade in this issue of the journal

    demonstrates that confusion still exists regarding the applica-

    bility of Christensen and Larsen (1993) method (C&L) for age-

    dating middle-distillate fuels in the near-surface environment.

    The general comments in the editorial suggest a misunderstand-

    ing regarding a fundamental difference between the approach to

    this method developed by Hurst and Schmidt (2005), which they

    called the middle distillate degradation (MDD) model, and our

    interpretation based on the basic Monod model for microbial

    substrate utilization kinetics (Galperin and Kaplan, 2008).

    The C&L method established an empirical linear correlation

    between the time since occurrence of a diesel fuel release and

    the corresponding values ofn-C17/Pr ratio. This correlation was

    ascertained for vadose (unsaturated) zone soil contamination

    occurring from a sudden fuel release at sites with specified sets

    of environmental conditions (e.g., geographic location, hydro-

    carbon concentration, sampling depth). Because of the empir-

    ical nature of this correlation and the absence of descriptionsof certain environmental parameters, no objective criteria can

    be developed on acceptable values of these parameters (i.e., soil

    characteristics, site hydrology, moisture content, and availability

    of oxygen and nutrients) for establishing the applicability limits

    of the C&L age-dating approach. An attempt to account for dif-

    ferent environmental conditions through the matrix of weath-

    ering regimes (Oudijk, 2009) is based on subjective values and

    therefore is unreliable. In addition to the absence of criteria for

    site-specific environmental conditions, application of the C&L

    approach is confounded by uncertainties introduced by variabil-

    ity of the initial n-heptadecane to pristane ratio, (n-C017 )/(Pr0).

    The MDD model (Hurst and Schmidt, 2005) was proposed

    as an extension of the empirical C&L correlation, which inaddition to hydrocarbon-contaminated soil, includes separate-

    phase petroleum products and a broad range of environmental

    settings. Evaluation of the MDD model reveals inconsistencies

    in its experimental base and theoretical premise (Galperin and

    Kaplan, 2008a). The extension proposed by Hurst and Schmidt

    Address correspondence to Yakov Galperin, Environmental Geo-chemistry Consulting, 13543 Bear Valley Road, Moorpark, CA, 93021,USA. E-mail: [email protected]

    (2005) assumes the uniform rate of alkane biodegradation un-

    der typically aerobic conditions in vadose zone soil and un-

    der predominantly anaerobic conditions of the separate-phase

    product, which contradicts published analytical data and the

    body of information accumulated in the literature on biodegra-

    dation of petroleum hydrocarbons. Due to the lack of a ba-

    sic model for hydrocarbon biodegradation in the near-surface

    environment, Hurst and Schmidt (2005) also misinterpret the

    effect of the initial (n-C017 )/(Pr0) values on the release age

    calculation.

    The Galperin and Kaplan (2008) approach describes the em-

    pirical linear correlation established by C&L in terms of the

    Monod model with zero-order kinetics. This model accounts for

    variations in the initial (n-C017 )/(Pr0) values and allows for de-

    veloping criteria for evaluating applicability of this age-dating

    method in different environmental settings. For example, be-

    cause the Monod model relates the rate of substrate metabolism

    to the concentration of a single growth-controlling substrate(Alexander, 1994), it implies an adequate supply of oxygen and

    nutrients, so that they do not limit bacterial metabolism. Accord-

    ingly, the C&L approach can only be applied to hydrocarbon

    contamination in the vadose zone soil where the availability of

    sufficient concentration of O2 favors aerobic biodegradation. In

    contrast, a much slowerdegradation occurs under predominantly

    anaerobic conditions that commonly develop in the groundwa-

    ter (saturated) zone or in a body of non-aqueous phase liquid

    (NAPL).

    The unsaturated zone soil water content is also a major fac-

    tor affecting hydrocarbon biodegradation. The degree to which

    the soil pore space is filled with water affects the exchange of

    gases through the soil. The optimal water saturation is typicallyassumed to range from 30% to 70% of the total soil porosity,

    depending on the soil texture. In practice, however, soil water

    content hasbeen found to directly limit biodegradation rates only

    in very dry desert environments. A more common influence, is

    that excess of soil water has led to significant reductions in soil

    gas permeability and therefore deficiency of O2 required for

    hydrocarbon mineralization. As in the case with water, the pore

    space can be filled with NAPL, which will also restrict the move-

    ment of gases, so that O2 can be rapidly depleted and aerobic

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    4 Y. Galperin and I. R. Kaplan

    degradation is severely inhibited. Residual NAPL concentration

    in the vadose zone soil should be considered as being close to the

    upper concentration limits of applicability of the model. In order

    to sustain microbial growth, certain nutrients must be available

    at minimum levels. Primary nutrients, nitrogen and phosphorus,

    are required in thegreatest concentrations andare themost likely

    to be limiting, whereas the rest are considered micronutrients

    and generally are available in excess in soil. However, because

    nutrients are not destroyed, but recycled in an ecosystem, un-

    like O2, a steady input of nutrients is not required (Leeson and

    Hinchee, 1996).

    Attempts to use this model outside of its applicability lim-

    its lead to mistakes in the calculated age of the fugitive fuel

    in the subsurface environment (Stout et al., 2002; Wade, 2002;

    Galperin and Kaplan, 2008, 2008a). It should be mentioned

    that in most environmental investigations, the variability in the

    main parameters affecting the rate of biodegradation typically

    allow for only semi-quantitative estimating age of a fuel release

    (typically within 5-year intervals). It is also widely accepted

    that because of the multiple variables involved, the n-C17

    /Pr

    ratio is only one of many factors that typically need to be rec-

    onciled for a reliable estimate of a fuel release age (Kaplan,

    2003).

    References

    Alexander, M. 1994. Biodegradation and bioremediation. New York: Aca-demic Press.

    Christensen, L. B., and Larsen, T. H. 1993. Method for determining the ageof diesel oil spills in the soil. Ground Water Monitoring and Remediation23(4): 142149.

    Galperin, Y., and Kaplan, I. R. 2008. Zero-order kinetics model for theChristensen-Larsen method for fugitive fuel age estimates. Ground Water

    Monitoring and Remediation 28(2): 9497.Galperin, Y., and Kaplan, I. R. 2008a. Age significance of n-C 17/Pr ra-

    tios in forensic investigations of refined product and crude oil releases:Discussion. Environmental Geosciences 15(2): 8586.

    Hurst, R. W., and Schmidt, G. W. 2005. Age significance of nC 17/Pr ra-tios in forensic investigations of refined product and crude oil releases.Environmental Geosciences 12(3): 177192.

    Kaplan, I. R. 2003. Age dating of environmental organic residues. Environ-mental Forensics 4(3): 95141.

    Leeson,A., andHinchee, R.E. 1996. Principles and practicesof bioventing.Volume I: Bioventing principles. Battelle Memorial Institute, Columbus,OH, pp. 184.

    Oudijk, G. 2009. Age dating heating-oil releases, Part 2. Assessing weath-ering and release time frames throughchemistry, geology and sitehistory.Environmental Forensics 10(2): 120131.

    Stout, S. A., Uhler, A. D., McCarthy, K. J., and Emsbo-Mattingly, S. D.

    2002. Invited commentary on the Christensen and Larsen technique. En-vironmental Forensics 3(1): 911.

    Wade, M. J. 2002. Invited commentary on the Christensen and Larsentechnique. Environmental Forensics 3(1): 13.