title: Pulsed pumping process optimization using a potential flow model.
abstract: A computational model is applied to the optimization of pulsed pumping systems for efficient in situ remediation of groundwater contaminants. In the pulsed pumping mode of operation, periodic rather than continuous pumping is used. During the pump-off or trapping phase, natural gradient flow transports contaminated groundwater into a treatment zone surrounding a line of injection and extraction wells that transect the contaminant plume. Prior to breakthrough of the contaminated water from the treatment zone, the wells are activated and the pump-on or treatment phase ensues, wherein extracted water is augmented to stimulate pollutant degradation and recirculated for a sufficient period of time to achieve mandated levels of contaminant removal. An important design consideration in pulsed pumping groundwater remediation systems is the pumping schedule adopted to best minimize operational costs for the well grid while still satisfying treatment requirements. Using an analytic two-dimensional potential flow model, optimal pumping frequencies and pumping event durations have been investigated for a set of model aquifer-well systems with different well spacings and well-line lengths, and varying aquifer physical properties. The results for homogeneous systems with greater than five wells and moderate to high pumping rates are reduced to a single, dimensionless correlation. Results for heterogeneous systems are presented graphically in terms of dimensionless parameters to serve as an efficient tool for initial design and selection of the pumping regimen best suited for pulsed pumping operation for a particular well configuration and extraction rate. In the absence of significant retardation or degradation during the pump-off phase, average pumping rates for pulsed operation were found to be greater than the continuous pumping rate required to prevent contaminant breakthrough.
authors.affiliation: Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA.
authors.forename: C M
authors.initials: CM
authors.lastname: Tenney
authors.forename: C M
authors.initials: CM
authors.lastname: Lastoskie
mesh_terms: D003198:Computer Simulation; D004867:Equipment Design; D015233:Models, Statistical; D008962:Models, Theoretical; D012984:Software; D013997:Time Factors; D014865:Waste Disposal, Fluid; D014872:Water Movements; D014873:Water Pollutants; D014874:Water Pollutants, Chemical; D014876:Water Pollution; D018508:Water Purification / Q000379:methods*; D014881:Water Supply
chemical_list: D014873:Water Pollutants; D014874:Water Pollutants, Chemical