Literature DB >> 11401267

A micrometeorological technique to monitor total hydrocarbon emissions from landfarms to the atmosphere.

S Ausma1, G C Edwards, E K Wong, T J Gillespie, C R Fitzgerald-Hubble, L Halfpenny-Mitchell, W P Mortimer.   

Abstract

Landfarming is used to treat petroleum hydrocarbon-contaminated soils and a variety of waste streams from industrial operations. Wastes are applied to a soil surface and indigenous soil microorganisms utilize the hydrocarbons in the applied waste as a carbon source for metabolism, thereby biodegrading the applied material. Concerns have been expressed that abiotic losses, such as volatilization, play a significant role in hydrocarbon reduction within the soil. To assist in better defining atmospheric releases of total hydrocarbons from landfarms treating petroleum hydrocarbons, a flux gradient micrometeorological approach was developed and integrated with a custom-built total hydrocarbon detector, and a novel air sampling system and averaging algorithm. The micrometeorological technique offers unobtrusive spatially averaged real-time continuous measurements, thereby providing a time history of emissions. This provides opportunities to investigate mechanisms controlling emissions and to evaluate landfarm management strategies. The versatility of the technique is illustrated through measurements performed at a remote landfarm used to treat diesel fuel-contaminated soil in northern Ontario and during routine operations at two active refinery landfarms in southwestern Ontario.

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Year:  2001        PMID: 11401267     DOI: 10.2134/jeq2001.303776x

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  1 in total

1.  Effects of winter covering crop residue incorporation on CH₄ and N₂O emission from double-cropped paddy fields in southern China.

Authors:  Haiming Tang; Xiaoping Xiao; Wenguang Tang; Ke Wang; Jimin Sun; Weiyan Li; Guangli Yang
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-28       Impact factor: 4.223

  1 in total

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