Information effect on remediation design of contaminated aquifers using the pump and treat method

DOI10.1007/s00477-009-0352-9zbMath1416.62637OpenAlexW1997569182MaRDI QIDQ2002019

Kang-Kun Lee, Nak-Youl Ko

Publication date: 11 July 2019

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

Full work available at URL: https://doi.org/10.1007/s00477-009-0352-9

zbMATH Keywords

uncertaintystochastic optimizationgenetic algorithmmultiple realization approachaquifer remediation

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Applications of statistics to environmental and related topics (62P12) Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Uses Software

• MODFLOW
• MT3DMS
• MODFLOW-2000

Cites Work

• El Niño influence on streamflow forecasting
• Convergence of deterministic and stochastic approaches in optimal remediation design of a contaminated aquifer
• Simulation-based risk assessment of contaminated sites under remediation scenarios, planning periods, and land-use patterns -- a Canadian case study
• The Monte Carlo Method
• Unnamed Item

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