<div class="csl-bib-body">
<div class="csl-entry">Steiner, M., Katona, T., Fellner, J., & Flores Orozco, A. (2022). Quantitative water content estimation in landfills through joint inversion of seismic refraction and electrical resistivity data considering surface conduction. <i>Waste Management</i>, <i>149</i>, 21–32. https://doi.org/10.1016/j.wasman.2022.05.020</div>
</div>
-
dc.identifier.issn
0956-053X
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/142243
-
dc.description.abstract
The disposal of municipal solid waste (MSW) in landfills is the prevalent method of waste management at the global scale. However, the production of landfill gases due to the methanogenic fermentation of wet MSW is a possible threat to human health and accounts for a substantial contribution to the global greenhouse gas emissions. Accordingly, information regarding water content is critical as it is an important factor triggering methane production in MSW landfills. In this study, we propose a petrophysical joint inversion scheme to quantitatively solve for the water content (WC) in landfills based on seismic refraction as well as electrical resistivity data collected at two different frequencies. In this way, we also take into account the contribution of the surface conductivity to the observed electrical response, which is crucial for a reliable quantification of the WC. Our results reveal a high water content within the MSW unit (WC > 20%) for areas characterized by a strong polarization response (normalized chargeability Mn > 5 mS/m). Such areas can be related to an increased biogeochemical activity as evidenced by the detected methane production. We observe consistent estimates between the water content resolved through the proposed joint inversion scheme and values measured in waste samples with a median percentage error of 17%. Our study demonstrates the possibility to obtain reliable estimates for the WC in MSW landfills through the petrophysical joint inversion of seismic and electrical data when surface conductivity is explicitly considered.
en
dc.language.iso
en
-
dc.publisher
PERGAMON-ELSEVIER SCIENCE LTD
-
dc.relation.ispartof
Waste Management
-
dc.subject
Methane
en
dc.subject
Solid Waste
en
dc.subject
Waste Disposal Facilities
en
dc.subject
Water
en
dc.subject
Electrical resistivity
en
dc.subject
Geophysical imaging methods
en
dc.subject
Joint inversion
en
dc.subject
Seismic refraction
en
dc.subject
Surface conductivity
en
dc.subject
Water content
en
dc.subject
Refuse Disposal
en
dc.title
Quantitative water content estimation in landfills through joint inversion of seismic refraction and electrical resistivity data considering surface conduction