A methodology to characterize a sanitary landfill combining, through a numerical approach, a geoelectrical survey with methane point-source concentrations

Among the different natural sources of drinking water, aquifers are the most exposed to the environmental pressures posed by old landfills. Conventional monitoring methods to follow up the migration of leachate into groundwater and the generation of biogases in landfills are costly, time-consuming, and only provide a partial picture of these complex systems. Alternatively, we present the results of a non-invasive and cost-effective methodology applied to a non-engineered (i.e., no gas or liquid recovery systems) closed landfill in southern Ontario. The study combines, through a numerical approach, data from a direct current (DC) resistivity and an Induced Polarization (IP) survey, with measurements of methane concentrations taken over the landfill. We used a Dipole-Dipole array along four regional Lines of approximately 300 meters each, cutting crosswise and throughout the strike of the site. The interpretation of the inverted resistivity and IP data allowed us to recognize and describe some hydrogeological features that went unnoticed by using conventional monitoring techniques. We also applied a hybrid algorithm that incorporates fuzzy logic to neural networks (ANFIS) for causal variable forecasting of surface methane concentrations, using geoelectrical proxies of leachate accumulation as antecedent parameters (i.e. minimum resistivity and their corresponding IP values). The ANFIS provided a statistically significant inference of the main tendencies of methane concentrations along the surveyed Lines. Some coarse inferences appear to be locally associated with IP bright spots of anomalous metal ion content. Overall, a better inference seems to be hampered by the uncertainties involved in the generation of biogas and its upward flow through the soil cover. These results substantiate the feasibility of employing surface methane concentration data as a first diagnostic test to characterize the areal extent of the leachate plume underground. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

This study introduced a non-invasive and cost-effective methodology to identify hydrogeological features in groundwater sources by combining DC resistivity and IP survey data. The results demonstrate the feasibility of using surface methane concentration data as a diagnostic test to characterize the areal extent of the leachate plume underground.