Bioslurping model for assessing light hydrocarbon recovery in contaminated unconfined aquifer. I: Simulation analysis

Hung Ki Yen, Ni Bin Chang, Tsair Fuh Lin

研究成果: Article同行評審

21 引文 斯高帕斯(Scopus)

摘要

This study carries out a system-based assessment in search of the optimal operating strategy for light hydrocarbon recovery in a contaminated aquifer using bioslurping technology. A two-stage analytical framework involving a combined simulation/regression/ optimization (S/R/O) modeling approach was designed to analyze, predict, and optimize the pumping volume with regard to the separate oil, water, and soil gas phases in the bioslurping process. The aim of the first-stage analysis is to calibrate and verify this newly developed bioslurping simulation model and to assess light nonaqueous phase liquids (LNAPLs) recovery efficiency in a heterogeneous, anisotropic unconfined aquifer. Recovery system simulations using derived linear regression submodels present high potential for exhibiting, eliciting, and summarizing the nonlinear behavior between successive batch operations in predicting residual oil levels in the surface groundwater table for model calibration and verification. The research findings indicate that the statistical paired-sample T-tests confirm the prediction accuracy of the bioslurping model during calibration and verification procedures. The simulation results presented in this paper are proved useful for finding a relatively better operational scheme to minimize the indirect operational risk throughout the on-site remediation time period. The simulation results also provide a firm database to assist in an advanced optimization study in the second stage analysis for generating risk-informed, scientifically credible, and cost-effective solutions in remediation.

原文English
頁(從 - 到)114-130
頁數17
期刊Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management
7
發行號2
DOIs
出版狀態Published - 2003 4月 1

All Science Journal Classification (ASJC) codes

  • 環境工程
  • 化學工程 (全部)
  • 水科學與技術
  • 岩土工程與工程地質

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