Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data-Reference-Cited by-同舟云学术

Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data

Published:2006-10-26 Issue:3 Volume:21 Page:557-572
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Singh Raj Mohan,Datta Bithin

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-006-9029-z.pdf

Reference35 articles.

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3. Aral MM, Guan J, Maslia ML (2001) Identification of contaminant source location and release history in aquifers. J Hydrologic Engrg ASCE 6(3):225–234

4. Atmadja J, Bagtzoglou AC (2001a) Pollution source identification in heterogeneous porous media. Water Resour Res 37(8):2113–2125

5. Atmadja J, Bagtzoglou AC (2001b) State of the art report on mathematical methods to reliable of groundwater pollution source identification. Environmental Forensics 2(3):205–214

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