Simultaneous identification of groundwater pollution source location and release concentration using Artificial Neural Network
Author:
Affiliation:
1. Department of Civil Engineering, M.B.M. Engineering College, J.N.V. University Jodhpur, Jodhpur, India;
2. Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal
Link
https://www.tandfonline.com/doi/pdf/10.1080/15275922.2020.1850566
Reference30 articles.
1. Identification of Contaminant Source Location and Release History in Aquifers
2. Pollution source identification in heterogeneous porous media
3. A linked simulation–optimization model for solving the unknown groundwater pollution source identification problems
4. Application of particle methods to reliable identification of groundwater pollution sources
5. Characterizing an unknown pollution source in groundwater resources systems using PSVM and PNN
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