Convergence of deterministic and stochastic approaches in optimal remediation design of a contaminated aquifer

DOI10.1007/s00477-008-0216-8zbMath1411.91442OpenAlexW2020943778MaRDI QIDQ1741083

Nak-Youl Ko, Kang-Kun Lee

Publication date: 3 May 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-008-0216-8

zbMATH Keywords

stochastic optimizationgenetic algorithmmultiple realization approachremediation design

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (2)

Bayesian model averaging assessment on groundwater management under model structure uncertainty ⋮ Information effect on remediation design of contaminated aquifers using the pump and treat method

Uses Software

• MODFLOW
• MT3DMS
• MODFLOW-2000

Cites Work

• Unnamed Item

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