Groundwater Pollution Sources Identification Based on Hybrid Homotopy-Genetic Algorithm and Simulation Optimization-Reference-Cited by-同舟云学术

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Groundwater Pollution Sources Identification Based on Hybrid Homotopy-Genetic Algorithm and Simulation Optimization

Published:2021-08-01 Issue:8 Volume:38 Page:777-788
ISSN:1557-9018
Container-title:Environmental Engineering Science
language:en
Short-container-title:Environmental Engineering Science

Author:

Li Jiuhui¹²³,Lu Wenxi¹²³,Fan Yue¹²³

Affiliation:

1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China.

2. Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, China.

3. College of New Energy and Environment, Jilin University, Changchun, China.

Publisher

Mary Ann Liebert Inc

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry

Link

https://www.liebertpub.com/doi/pdf/10.1089/ees.2020.0117

Reference31 articles.

1. Newton-homotopy analysis method for nonlinear equations

2. A linked simulation–optimization model for solving the unknown groundwater pollution source identification problems

3. Mathematical Methods for Hydrologic Inversion: The Case of Pollution Source Identification

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