title: IPCS: an integrated process control system for enhanced in-situ bioremediation.
abstract: To date, there has been little or no research related to process control of subsurface remediation systems. In this study, a framework to develop an integrated process control system for improving remediation efficiencies and reducing operating costs was proposed based on physical and numerical models, stepwise cluster analysis, non-linear optimization and artificial neural networks. Process control for enhanced in-situ bioremediation was accomplished through incorporating the developed forecasters and optimizers with methods of genetic algorithm and neural networks modeling. Application of the proposed approach to a bioremediation process in a pilot-scale system indicated that it was effective in dynamic optimization and real-time process control of the sophisticated bioremediation systems.
authors.affiliation: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China. yuefeihuang@tsinghua.edu.cn
authors.forename: Y F
authors.initials: YF
authors.lastname: Huang
authors.forename: G Q
authors.initials: GQ
authors.lastname: Wang
authors.forename: G H
authors.initials: GH
authors.lastname: Huang
authors.forename: H N
authors.initials: HN
authors.lastname: Xiao
authors.forename: A
authors.initials: A
authors.lastname: Chakma
mesh_terms: D000465:Algorithms; D001673:Biodegradation, Environmental; D003198:Computer Simulation; D008954:Models, Biological; D016571:Neural Networks, Computer; D010578:Petroleum; D014874:Water Pollutants, Chemical
chemical_list: D010578:Petroleum; D014874:Water Pollutants, Chemical