AI Article Synopsis
- - The significant rise in solid waste landfills poses environmental risks, prompting the need for effective investigation methods like electrical resistivity tomography (ERT) and induced polarization (IP), which are non-invasive techniques.
- - The study found that geo-electrical signals indicate three different types of waste: construction & demolition wastes, contaminated soil, and layers with both high resistivity and chargeability, revealing a total of 40,555 cubic meters of contaminated soil.
- - IP proves to be a more efficient, cost-effective, and high-resolution method compared to traditional drilling sampling techniques, making it a valuable tool for identifying contamination in environmental studies.
Article Abstract
The whopping increase in solid waste landfills poses serious threats to the environment. Compared to the drilling method, geophysical methods are effective, non-invasive techniques for delineating the contaminant distribution. In this study, electrical resistivity tomography (ERT) and induced polarization (IP) were used to investigate a solid waste deposit. The results of ERT/IP imaging illustrate the potential of the method in environmental studies. Based on the results of 21 survey lines, geo-electrical signals can be summarized as three types: with only high resistivity for construction & demolition wastes (CDWs) areas (RO type), contaminated soil for high chargeability (CO type), and contaminants under CDWs layer have both high resistivity and chargeability (RC type). Chargeability values over 10.2 mV/V correspond to contaminated soil with an overall concentration larger than 75 mg/kg. With the three-dimensional interpolation results and the determined chargeability criteria, the total volume of contaminated soil is 40,555 cubic meters. Finally, comparing the efficiency, cost and results of IP and drilling sampling methods shows that the IP is an efficient, low-cost and high-resolution contamination characterization. The results support that ERT/IP information can fulfill rapid and initial identification as a reliable tool in engineering and environmental investigations.
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| http://dx.doi.org/10.1016/j.jenvman.2024.121854 | DOI Listing |
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