Datta, Bithin, Prakash, Om, Cassou, Pauline, and Valetaud, Mathieu (2014) Optimal unknown pollution source characterization in a contaminated groundwater aquifer: evaluation of a developed dedicated software tool. Journal of Geoscience and Environment Protection, 2 (5). pp. 41-51.

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Abstract

Precise identification of the pollutant source characteristics is the first step for designing an effective groundwater contamination remediation strategy. In this study a linked simulation - optimization based methodology is utilized for identification of unknown groundwater pollution sources in a real life contaminated aquifer in New South Wales, Australia where the source locations and source flux release history are the explicit unknown variables. The methodology is applied utilizing an in house software package GWSID developed at James Cook University for optimal determination of the unknown source characteristics. The methodology incorporates linked simulation optimization approach and utilizes simulated Algorithm as an evolutionary optimization algorithm. The performance evaluation results show practical utility of the methodology and of the associated developed computers software in identifying the unknown source characteristics.

Item ID:	38415
Item Type:	Article (Research - C1)
ISSN:	2327-4344
Keywords:	groundwater contamination; source characterization; linked simulation-optimization
Additional Information:	Open Access authors retain the copyrights of their papers, and all open access articles are distributed under the terms of the Creative Commons Attribution License, CC BY (or the Creative Commons Attribution-NonCommercial License CC BY-NC), which allows users to (noncommercially) copy, use, distribute, transmit and display the work publicly and to make and distribute derivative works, in any digital medium for any responsible purpose, subject to proper attribution of authorship.
Funders:	CRC for Contamination Assessment and Remediation of the Environment (CRC-CARE), James Cook University
Date Deposited:	22 Apr 2015 01:16
FoR Codes:	09 ENGINEERING > 0905 Civil Engineering > 090509 Water Resources Engineering @ 100%
SEO Codes:	96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 100%
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