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In-situ bioremediation of groundwater using a meshfree model and particle swarm optimization
Author(s) -
Meenal Mategaonkar,
T. I. Eldho,
Sahajanand Kamat
Publication year - 2018
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2018.110
Subject(s) - bioremediation , environmental remediation , groundwater , particle swarm optimization , environmental science , groundwater remediation , contamination , trichloroethylene , environmental engineering , waste management , environmental chemistry , computer science , chemistry , engineering , geotechnical engineering , ecology , biology , machine learning
Groundwater contamination due to contaminants like trichloroethylene (TCE), tetrachloro ethylene, dichloro ethelene, phenol, etc., is an alarming concern for most of the manufacturing areas. It is important to identify the type of pollutant, concentration, location, and direction of the contaminant plume for groundwater remediation. Bioremediation has been identified as one of the important remediation techniques for these types of contaminants. Bioremediation modeling comprises solutions to biodegradation equations and fixing the time of remediation and locating the oxygen injection wells. In this study, a simulation-optimization (S/O) model based on the coupled meshfree point collocation method (MFree-PCM) and particle swarm optimization (PSO) is proposed for in-situ bioremediation design. The in-situ bioremediation process of groundwater contamination is explored using the developed PCM-BIO-PSO multi-objective model with different strategies of minimization of cost, number of wells and time of remediation. The proposed model can be effectively used for the in-situ bioremediation design of contaminated sites.

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