A model for simulating microbial growth‐degradation processes in porous media is developed. It is assumed that the bulk of microorganisms in an aquifer grow in microcolonies attached to matrix surfaces. As developed, the model applies to the growth and decay of aerobic, heterotrophic microorganisms whose growth is limited by lack of a carbon and energy source (substrate), an oxygen source or both simultaneously as described by modified Monod kinetics. Transport of substrate and oxygen in the porous medium is assumed to be governed by advection‐dispersion equations with surface adsorption. A total of five coupled equations result describing substrate and oxygen concentrations in the pore fluid, substrate and oxygen concentrations in the microcolonies and colony density, which is assumed sufficiently small so that aquifer hydraulic conductivity is not diminished. An iterative process involving an Eulerian‐Lagrangian numerical procedure that is highly resistant to numerical dispersion in the presence of small dispersivities is used to solve the overall model, with parameter values selected from the literature or estimated. Results indicate that biodgradation would be expected to have a major effect on contaminant transport when proper conditions for growth exist. For one‐dimensional transport in a column, the most rapid microbial growth always occurred at the influent boundary where oxygen and substrate concentrations were held constant independent of colony density. Anaerobic conditions develop rapidly and aerobic biodegradation ceases if large amounts of substrate are added to the system.

A model to simulate organic carbon biodegradation by facultative bacteria in saturated porous media using oxygen‐ and/or nitrate‐based respiration is developed. Basic assumptions incorporated into the model concept include a simulated particle‐bound microbial population comprised of heterotrophic, facultative bacteria in which metabolism is controlled by lack of either an organic carbon‐electron donor source (substrate), electron acceptor (O2 and/or NO3−), or mineral nutrient (NH4+), or all three simultaneously. A system of nine coupled nonlinear equations is developed that describe the processes of transport, degradation, and microbial growth and decay. The solution technique is highly resistant to numerical dispersion and oscillation when applied to the advection‐dispersion equation, even for large Peclet numbers (100). Microbial utilization of materials is assumed to occur by intrapore scale diffusion of materials across a diffusion boundary layer separating the particle‐bound microcolonies of bacteria from the pore fluid. Denitrifying enzyme inhibition is modeled as a function of the oxygen concentration associated with the biomass. Simulations of oxygen‐based, nitrate‐based, and multiple‐electron acceptor respiration are presented for a hypothetical experiment using kinetic parameter value estimates available from the literature.

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This paper summarizes one institution's efforts to develop an ongoing strategy for gathering and analyzing data from constituents for use in appraisal and improvement efforts in its instructional programs. Although a large number of different constituents were identified, for logistical reasons it was decided to focus on five groups: undergraduate students, graduate students, faculty, alumni and industry. The primary emphasis of this paper is on the results from the alumni and industry surveys. Demographics of these two groups are given and the influence of these characteristics on responses to survey questions is noted. Comparisons drawn among the two groups show that alumni and industry responses are virtually identical on the importance of specific attributes associated with newly graduated engineers. A short discussion is also given which compares the responses of all five constituent groups on certain instructional program attributes.

Three anaerobic/aerobic sequencing batch reactors (SBRs) were operated for 5 1/2 years. Volatile fatty acids (VFAs) in influent wastewater for two of the SBRs (the Glucose 1 and 2 SBRs) resulted in optimization of enhanced biological phosphorus removal (EBPR), and a bacterial population capable of increasing phosphorus (P) removals in response to increased VFA or P concentration. Another SBR not receiving VFAs (the Starch SBR) showed marginal EBPR and was incapable of either response. All three anaerobic/aerobic sequencing batch reactors (SBRs) showed bounded oscillations in P removal that did not correspond to any operational or environmental change. The oscillations were probably associated with interspecies population dynamics intensified due to the periodic, unsteady-state, nature of the SBR process. The glucose SBRs also showed an additional type of variability associated with EBPR, probably from competition between poly-P and “G” bacteria for readily available substrate (i.e. glucose, VFAs) during anaerobiosis. The predominant bacterial isolates from the glucose SBRs were Pseudomonas and Bacillus while Aeromonas was isolated most frequently from the Starch SBR. The relatively slow growth rate of Pseudomonas may have contributed to the high variability of EBPR observed. Fractal analysis indicated overall variability may have been chaotic, but was inconclusive.

A mathematical model has been developed which describes organics removal, oxygen utilization, ammonianitrogen removal, ortho-phosphate removal, and biomass production in an aggregated microbial suspension containing a uniform floc size and the organics as a soluble biodegradable material. It is applicable to both steady-state and transient conditions, as well as to systems experiencing only carbon oxidation or to systems experiencing both carbon oxidation and nitrification. The model, consisting of five partial differential equations and four ordinary differential equations, takes into account the flow pattern in the reactor, intraparticle mass transport of oxygen, organics, ammonia-nitrogen and ortho-phosphate, and biochemical reactions by the individual cells embedded in the floc.

Using anaerobic/aerobic sequencing batch reactors (SBRs) it was found that pre-fermentation of influent glucose resulted in a microbial population capable of enhanced biological phosphorus removal (EBPR). Batch tests indicated the C1-C5 carboxylic acids, except propionate, typically improved phosphorus removal. Branched molecules were superior to their linear isomers. The C1-C5 alcohols did not affect removal. Glucose, propionate, and an amino-acid rich substrate were detrimental. Using NMR spectroscopy it was observed that intracellular forms and locations of phosphorus did not change regardless of the substrate received. Polyphosphate (polyP) was present throughout the cells at the end of aerobiosis. It then degraded to inorganic phosphate via a zero-order enzymatic reaction concentrated at the cell membrane. An anaerobic/aerobic SBR receiving starch, rather than glucose fermentation products, showed only marginal EBPR and did not respond to carboxylic acids or other substrates in batch tests. Pseudomonas and Bacillus were numerous in the glucose system but were not isolated from the starch system. Aeromonas were dominant in the starch system. Although the glucose system showed better phosphorus removal than the starch system, it also showed greater variability. Phosphorus removal varied in a chaotic, but bounded, manner, probably due to population dynamics.