Identification of clandestine groundwater pollution sources using heuristics optimization algorithms: a comparison between simulated annealing and particle swarm optimization-Reference-Cited by-同舟云学术

Identification of clandestine groundwater pollution sources using heuristics optimization algorithms: a comparison between simulated annealing and particle swarm optimization

Published:2020-11-26 Issue:12 Volume:192 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Chakraborty Anirban^ORCID,Prakash Om

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-020-08691-7.pdf

Reference59 articles.

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3. Aral, M.M., Guan, J., & Maslia, M.L. (2001). Identification of contaminant source location and release history in aquifers. Journal of Hydrologic Engineering, 6(3), 225–234.

4. Ayvaz, M.T. (2010). A linked simulation–optimization model for solving the unknown groundwater pollution source identification problems. Journal of Contaminant Hydrology, 117(1-4), 46–59.

5. Bashi-Azghadi, S.N., Kerachian, R., Bazargan-Lari, M.R., & Solouki, K. (2010). Characterizing an unknown pollution source in groundwater resources systems using PSVM and PNN. Expert Systems with Applications, 37(10), 7154–7161.

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