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(Barker et al, 1995) Pyrite may be precipitated in the soil Sulfate concentrations in groundwater are naturally <br /> . higher than those for nitrate Sulfate concentrations of 100 mg/L might be considered moderate and several hundred <br /> mg/L is not uncommon Concentrations below 40 mg/L are indicative of methanogenic conditions(Cookson, 1995) <br /> Sulfate reduction typically occurs when Eh is approximately-200 mV <br /> Methanogenests Under methanogemc conditions (Eh of approximately -250 mV),carbon dioxide and methane are <br /> both produced by hydrocarbon oxidation The utility of measurement of these compounds is discussed below <br /> (metabolic end-products) <br /> Carbonate/Hardness/Total alkalinity <br /> One of these associated analyses is typically conducted at the laboratory on collected water samples Increased <br /> carbonate concentration will commonly occur where acidity dissolves carbonates from the soil Sufficient <br /> concentrations of carbonate will buffer the pH and prevent acid toxicity that may result from hydrocarbon <br /> degradation Total alkalinity (as carbonate) concentrations exceeding 100 mg/L may be considered conducive to <br /> effective buffering Dissolved carbon dioxide may be assessed in conjunction with total alkalinity analysis <br /> Metabolic end-products <br /> Metabolic end-products of hydrocarbon biodegradation include carbon dioxide, water, nitrogen,nitrites,ferrous iron, <br /> sulfites, sulfides, hydrogen sulfide, and methane Carbon dioxide, hydrogen sulfide and methane may be measured <br /> with a gas meter at the wellhead Reduced ferrous iron, sulfite and sulfide may be analyzed in water samples <br /> Sulfides may precipitate into the soil and be under-represented in groundwater samples Nitrite is metastable and <br /> therefore nitrite detection (generally <0 1 mg/L) is indicative of ongoing denitrification Ammonium ions in excess <br /> of 10 mg/L may also be indicative of anaerobic conditions Elevated concentrations of all metabolic end-products <br /> should correlate positively with elevated hydrocarbons <br /> Field measurement of dissolved carbon dioxide (DCD) is of secondary importance but may provide useful data <br /> Dissolved carbon dioxide is derived primarily from the atmosphere Elevated DCD spatially correlated with <br /> decreased DO concentration,may be indicative of aerobic microbial hydrocarbon degradation as DCD is a metabolic <br /> end-product Elevated DCD may also result from anaerobic degradation High background DCD is a desirable <br /> feature in terms of the capacity of the groundwater to buffer decreases in pH produced by microbial hydrocarbon <br /> degradation which may otherwise limit biological activity Carbon dioxide is more soluble than oxygen and average <br /> concentrations are around an order of magnitude higher <br /> Contanunant Fate and Transport Modeling <br /> Plume transport can be modeled using simple analytical equations Transport assuming no attenuation can be <br /> modeled and the results compared with field data to provide a preliminary indication of the extent of natural <br /> attenuation Transport models can be modified to include various natural attenuation factors based on actual site <br /> data Comparison of these modeling results to actual field results can be used to confirm natural attenuation <br /> To model plume transport,the following basic site characteristics need to be determined <br /> • Historical dissolved hydrocarbon distribution <br /> • Hydraulic conductivity <br /> • Soil density/porosity <br /> • Aquifer thickness <br /> • Groundwater gradient/depth fluctuations <br /> • Possible preferential migration pathways <br /> • Organic content of the soil,foc <br /> Laboratory analysis of soil samples may be necessary to establish foci which is useful for modeling sorption <br /> Hydraulic conductivity may be obtained as an estimate from the literature based on soil type (for homogeneous <br /> lithologies),or by performing an aquifer test(slug or pump) <br /> For plumes under steady-state conditions, contaminant transport models such as the Domenico Transport Equation <br /> can be modified to include the processes of dispersion and sorption to predict contaminant concentrations at a given <br /> distance from the source(Connor et al, 1995) In addition,biological and chemical degradation may be collectively <br /> modeled by a first-order decay function requiring assignment of a literature-based decay half-life value(in days) for <br /> CLEARWATER GROUP(NATURAL ATTENUATION) 5 revised October 3,2002 <br />