A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data-Reference-Cited by-同舟云学术

A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data

Published:2020 Issue: Volume: Page:303-321
ISSN:2196-7326
Container-title:Nature-Inspired Methods for Metaheuristics Optimization
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Author:

Sophia Leichombam,Bhattacharjya Rajib Kumar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26458-1_17

Reference30 articles.

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

4. Ayvaz MT (2010) A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems. J Contam Hydrol 117(1–4):46–59

5. Ayvaz MT (2015) A new simulation-optimization approach for simultaneously identifying the spatial distribution and source fluxes of the areal groundwater pollution sources. In: 36th IAHR world congress. The Hague, pp 1–7

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