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a Graduate School of Environmental Science, Okayama Univ., 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan
b Currently at: Nikka-Engineering Corp., 3-12-4 Namiyoke, Minatoku, Osaka, 552-0001, Japan
* Corresponding author (morot{at}cc.okayama-u.ac.jp).
Groundwater contamination by nonaqueous-phase liquids (NAPLs) has become a serious environmental issue. Therefore, it is necessary to estimate the NAPL content (
NAPL) in saturated soil to detect and monitor the NAPL contamination in groundwater. The objective of this study was to investigate three estimation methods for the
NAPL in saturated sandy soil, namely, the noncalibration method (NCM), the permittivity regression method (PRM), and the best-fit
method (BF
M). These methods utilize the permittivity (K) measured by amplitude domain reflectometry (ADR) and two dielectric mixing models: a theoretical Maxell–de Loor (MD) model and an empirical
model. The NCM applies the measured K to the models directly. The PRM applies the measured K to the models indirectly using the regression equation between the measured and estimated K. The RMSEs of the NCM for the
model were 0.038 m3 m–3 for light NAPL (LNAPL) and 0.015 m3 m–3 for dense NAPL (DNAPL) when the constant
value was set at 0.5. The RMSEs of the MD model, however, were 0.090 m3 m–3 for LNAPL and 0.070 m3 m–3 for DNAPL. Using the PRM, the RMSEs of the MD model became much better than those of the NCM. The RMSEs for
NAPL estimated by the BF
M were 0.007 m3 m–3 for LNAPL and 0.018 m3 m–3 for DNAPL. These results demonstrate that
NAPL was estimated easily and with sufficient accuracy with the
model and the PRM.
Abbreviations: ADR, amplitude domain reflectometry BF
M, best-fit
method DNAPL, dense nonaqueous-phase liquid E, coefficient of efficiency HFE, hydrofluoroether LNAPL, light nonaqueous-phase liquid MD, Maxell–de Loor NCM, noncalibration method NAPL, nonaqueous-phase liquid PRM, permittivity regression method TDR, time domain reflectometry
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