Sequential electron acceptor model for evaluation of in situ bioremediation of petroleum hydrocarbon contaminants in groundwater.

ABSTRACT

Mathematical development and model application is provided for a multiple substrate, sequential electron acceptor model, accounting for hydrodynamic transport, adsorption, and sequential oxygen/iron(III)-based biodegradation. Equations for iron(III)-based biodegradation of petroleum hydrocarbons are developed based on oxygen-inhibited Monod kinetics. The iron(III)-based biodegradation expressions were combined with earlier work by Widdowson and Aelion, to develop the two-dimensional, multiple substrate, oxygen/iron(III) sequential electron acceptor biodegradation model presented here. In addition to mathematical model development, simulations demonstrating the advantages of sequential electron acceptor and multiple substrate biodegradation models are provided. These simulations show that commonly-used single electron acceptor models may underpredict natural, in situ biodegradation potential at sites where indigenous microorganisms are capable of using multiple electron acceptors. Additional simulations show that, for contaminant plumes composed of constituents which biodegrade at different rates and under varying electron acceptor conditions, a multiple substrate model may allow more accurate prediction of both individual contaminant concentrations and the total amount of biodegraded contaminant. Considering that typical contaminant plumes are composed of multiple constituents with varying biodegradation properties and health risks, multiple substrate sequential electron acceptor models have the potential to provide more accurate tracking of individual constituent migration. The model was applied to a leaking UST site in Laurel Bay, South Carolina. Laboratory and monitoring well data presented in Landmeyer et al. have established that the petroleum hydrocarbon contaminants are present in the groundwater and are undergoing sequential oxygen-iron(III)-based biodegradation. Model simulations proved capable of reproducing the trends observed at the Laurel Bay site in that BTX contaminants were removed by sequential biodegradation, occurring first aerobically and subsequently anaerobically, and that iron(III)-reducing organisms biodegrade contaminants only in the absence of oxygen. The BTX compounds were individually but simultaneously modeled, allowing explicit modeling of specific contaminant biodegradation properties (e.g., toluene and xylene are assumed to degrade sequentially and benzene is assumed to degrade aerobically only). Although simulations presented here can reproduce trends observed at the Laurel Bay site, inclusion of additional electron acceptors and additional model calibration to data from this and other sites is necessary to improve and verify the model's capability to predict the efficacy of intrinsic biodegradation of petroleum hydrocarbon contaminants in groundwater.