Fuzzy systems modeling of in situ bioremediation of chlorinatedsolve n ts

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A large-scale vadose zone-groundwater bioremediationdemonstration was conducted at the Savannah River Site (SRS) by injectingseveral types of gases (ambient air, methane, and nitrous oxide andtriethyl phosphate mixtures) through a horizontal well in the groundwaterat a 175 ft depth. Simultaneously, soil gas was extracted through aparallel horizontal well in the vadose zone at a 80 ft depth Monitoringrevealed a wide range of spatial and temporal variations ofconcentrations of VOCs, enzymes, and biomass in groundwater and vadosezone monitoring boreholes over the field site. One of the powerful modernapproaches to analyze uncertain and imprecise data chemical data is basedon the use of methods ... continued below

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Faybishenko, Boris & Hazen, Terry C. September 5, 2001.

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A large-scale vadose zone-groundwater bioremediationdemonstration was conducted at the Savannah River Site (SRS) by injectingseveral types of gases (ambient air, methane, and nitrous oxide andtriethyl phosphate mixtures) through a horizontal well in the groundwaterat a 175 ft depth. Simultaneously, soil gas was extracted through aparallel horizontal well in the vadose zone at a 80 ft depth Monitoringrevealed a wide range of spatial and temporal variations ofconcentrations of VOCs, enzymes, and biomass in groundwater and vadosezone monitoring boreholes over the field site. One of the powerful modernapproaches to analyze uncertain and imprecise data chemical data is basedon the use of methods of fuzzy systems modeling. Using fuzzy modeling weanalyzed the spatio-temporal TCE and PCE concentrations and methanotrophdensities in groundwater to assess the effectiveness of differentcampaigns of air stripping and bioremediation, and to determine the fuzzyrelationship between these compounds. Our analysis revealed some detailsabout the processes involved in remediation, which were not identified inthe previous studies of the SRS demonstration. We also identified somefuture directions for using fuzzy systems modeling, such as theevaluation of the mass balance of the vadose zone - groundwater system,and the development of fuzzy-ruled methods for optimization of managingremediation activities, predictions, and risk assessment.

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  • American Geophysical Union, Fall Meeting 2001,San Francisco, CA, 12/10/2001-12/12/2001

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  • Report No.: LBNL--47720
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 918797
  • Archival Resource Key: ark:/67531/metadc889010

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  • September 5, 2001

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  • Sept. 22, 2016, 2:13 a.m.

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  • Sept. 25, 2017, 3:51 p.m.

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Faybishenko, Boris & Hazen, Terry C. Fuzzy systems modeling of in situ bioremediation of chlorinatedsolve n ts, article, September 5, 2001; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc889010/: accessed October 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.