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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9235
Title: Simulation-optimization approach for the consideration of well clogging during cost estimation of in situ bioremediation system
Authors: Yadav B.
Mathur S.
Ch S.
Yadav B.K.
Published in: Journal of Hydrologic Engineering
Abstract: In situ bioremediation of groundwater has become one of the most widely used technologies for contaminated site treatment because of its relatively low cost, adaptability to site-specific conditions, and efficacy when properly implemented. According to many studies, enhanced bioremediation techniques can change the hydrogeological properties of the polluted aquifers, and the most notable change is biological clogging, resulting in reduction of porosity and hydraulic conductivity of the porous media. Because biodegradation kinetics in previous studies do not simulate microbial growth rate explicitly in the aquifer system, in this study biological clogging is accounted for during the cost optimization of in situ bioremediation system. A simulation-optimization approach based on extreme learning machine and particle swarm optimization (ELM-PSO) techniques is used to design an optimal in situ bioremediation system for a characteristic site. A two-dimensional finite-difference model is used to get the data for training and testing of ELM. Further, a single-objective function is considered to optimize pumping cost, facility capital cost, and well cleaning cost for a clogged well. The application of the ELM-PSO method to problems where clogging of wells occurs provides a more practical and realistic cost for a typical in situ bioremediation system. © 2018 American Society of Civil Engineers.
Citation: Journal of Hydrologic Engineering (2018), 23(3): -
URI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0001622
http://repository.iitr.ac.in/handle/123456789/9235
Issue Date: 2018
Publisher: American Society of Civil Engineers (ASCE)
Keywords: Biological clogging
Bioremediation
Data-based model
Physical-based model
ISSN: 10840699
Author Scopus IDs: 56519355800
55434325100
36611196500
57209494362
Author Affiliations: Yadav, B., Dept. of Hydrology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Mathur, S., Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India
Ch, S., Ministry of Environment, Forest and Climate Change, Indira Paryavaran Bhavan, Jorbagh Rd., New Delhi, 110 003, India
Yadav, B.K., Dept. of Hydrology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Corresponding Author: Yadav, B.; Dept. of Hydrology, Indian Institute of Technology RoorkeeIndia; email: basant1488@gmail.com
Appears in Collections:Journal Publications [HY]

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