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Datta, B., Beegle, J. E., Kavvas, M. L., & Orlob, G. T. (1989). Development of an Expert-System Embedding Pattern-Recognition Techniques for Pollution Source Identification. Technical Report: PB-90-185927/XAB, OSTI ID: 6855981. Davis, CA: Dept. of Civil Engineering, California Univ.

has been cited by the following article:

• TITLE: Optimal Unknown Pollution Source Characterization in a Contaminated Groundwater Aquifer—Evaluation of a Developed Dedicated Software Tool

  AUTHORS: Bithin Datta, Om Prakash, Pauline Cassou, Mathieu Valetaud

  KEYWORDS: Groundwater Contamination, Source Characterization, Linked Simulation-Optimization

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.2 No.5, December 18, 2014

  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.