Detailed LNAPL plume mapping using electrical resistivity tomography inside an industrial building

• Autorzy: Meng Jian , Dong Yanhui , Xia Teng , Ma Xinmin , Gao Cuiling , Mao Deqiang

Identyfikatory

DOI

10.1007/s11600-022-00818-3

• Języki publikacji: EN

Abstrakty

EN

Detailed characterization of light non-aqueous phase liquid contaminant plume is essential for mapping remediation scope effectively. Electrical resistivity tomography is increasingly popular for delineating the geometry of subsurface contamination. In this study, the low resolution and limited penetration depth drawbacks from traditional survey arrays were resolved with optimized arrays generated using ‘Compare R’ method. Numerical example first proved its efficiency in locating contaminated areas under restricted survey space. The presence of ethylbenzene inside a manufacturing building has shown high resistive anomaly, and it has already leaked into deep locations from resistivity results. However, the transport of ethylbenzene was limited due to surrounding low permeable clay layer. The boundaries of the contaminant plume were further quantified using interpolated 3D resistivity results, which help to refine the remediation scope. The reconstructed scope was only 1/3 of the one from traditional borehole data interpolation, resulting in a more precise remediation cost estimate. In the end, we conclude the advantage of enhanced resolution and refined cost of remediation strategy by applying optimized array in contaminated site survey.

Słowa kluczowe

EN

electrical resistivity tomography; LNAPLs; remediation scope; compare R method

PL

tomografia elektrooporowa; LNAPLs; zakres remediacji

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 4
• Strony: 1651--1663
• Opis fizyczny: Bibliogr. 43 poz.

Twórcy

autor

Meng Jian

• School of Civil Engineering, Shandong University, Jinan 250061, China

autor

Dong Yanhui

• Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
• National Engineering Laboratory for Site Remediation Technologies, Beijing 100015, China

autor

Xia Teng

• School of Civil Engineering, Shandong University, Jinan 250061, China

autor

Ma Xinmin

• School of Civil Engineering, Shandong University, Jinan 250061, China

autor

Gao Cuiling

• Shandong Institute for Production Quality Inspection, Jinan 250102, China

autor

Mao Deqiang

• School of Civil Engineering, Shandong University, Jinan 250061, China

• https://orcid.org/0000-0002-9937-9828

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).