Meta‐Modeling‐Based Groundwater Remediation Optimization under Flexibility in Environmental Standard

Abstract

This study develops a meta-modeling based mathematical programming approach with flexibility in environmental standards. It integrates numerical simulation, meta-modeling analysis, and fuzzy programming within a general framework. A set of models between remediation strategies and remediation performance can well guarantee the mitigation in computational efforts in the simulation and optimization process. In order to prevent the occurrence of over-optimistic and pessimistic optimization strategies, a high satisfaction level resulting from the implementation of a flexible standard can indicate the degree to which the environmental standard is satisfied. The proposed approach is applied to a naphthalene-contaminated site in China. Results show that a longer remediation period corresponds to a lower total pumping rate and a stringent risk standard implies a high total pumping rate. The wells located near or in the down-gradient direction to the contaminant sources have the most significant efficiency among all of remediation schemes.

Optimizing pump-and-treat method by considering important remediation objectives

“…To understand the response of the groundwater system to different remediation strategies, various numerical methods such as finite difference method (FDM) (He et al, 2017;Yang et al, 2018a), finite element method (FEM) (Ghafouri and Darabi, 2007;Esfahani and Datta, 2018), meshless method (Boddula and Eldho, 2017;Mategaonkar et al, 2018;Seyedpour et al, 2019) and software packages like MODFLOW (Singh and Chakrabarty, 2011;Joswig et al, 2017) have been used. Different methods are used to solve the groundwater remediation optimization problem.…”