Multiple Objective Optimized Design of a Groundwater Extraction Network
Probabilistic Approaches to Groundwater Modeling Symposium at World Environmental and Water Resources Congress 2003, , , 2003
Abstract: Groundwater remediation projects involve multiple stakeholders. The design of aquifer remediation systems, which allocates resources to accomplish remediation objectives, should therefore accommodate the existence of multiple, often conflicting objectives. Several optimization methods have been devised or applied to the problem of multiple objectives. This paper discusses an intuitively appealing method that combines archived simulation results and data mining. It is used to plan an augmentation to an operating groundwater extraction network to accelerate the removal of dissolved TCE and PCE by extraction wells. Solutions were sought for multiple goals that focused on mass or concentration values at specific times along property lines, within specific aquifer zones, and/or at selected wells. Based primarily on the optimization results, along with comments from regulatory agencies and other parties, new well locations and pumping rates were used to modify the existing 5-year old groundwater extraction network so that the clean-up time for achieving MCLs would be reduced by 50%.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).