An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills

Leaks from landfills to underlying soil layers are one of the main problems that endanger the sustainability of waste disposal in landfills. Indeed, the possible failing of in-situ equipment can give rise to serious pollution consequences or costly inspection work in the landfill body.<i> <...

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Main Authors: Marco Vocciante, Valery Meshalkin
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/14/5598
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spelling doaj-e7ca8342036d4f5aa3c9c374f441ed972020-11-25T03:01:03ZengMDPI AGSustainability2071-10502020-07-01125598559810.3390/su12145598An Accurate Inverse Model for the Detection of Leaks in Sealed LandfillsMarco Vocciante0Valery Meshalkin1DCCI, Department of Chemistry and Industrial Chemistry, Università degli Studi di Genova, 16146 Genova, ItalyDepartment of Logistics and Economic Informatics, Mendeleev University of Chemical Technology, 125047 Moscow, RussiaLeaks from landfills to underlying soil layers are one of the main problems that endanger the sustainability of waste disposal in landfills. Indeed, the possible failing of in-situ equipment can give rise to serious pollution consequences or costly inspection work in the landfill body.<i> </i>In this paper, we develop the time dependent mathematical relationship between the concentration of water at the surface of the landfill and the flux at the bottom of the landfill. This makes it possible to detect a leak using non-expensive measurements made at the surface of the landfill. The resulting model is obtained by analytically solving Richard’s equation with a piecewise linear boundary condition at the bottom. The unknown coefficients of the piecewise linear functions, which can be estimated using the measurements at the surface, provide the necessary information for detecting leaks. The algorithm has been numerically tested using simulated data of rain precipitation. The method proposed could be conveniently used to complement the usual monitoring techniques due to the limited costs of its implementation.https://www.mdpi.com/2071-1050/12/14/5598monitoringsurface measurementsinverse modelsRichards’ equationpiecewise linear functionsboundary condition
collection DOAJ
language English
format Article
sources DOAJ
author Marco Vocciante
Valery Meshalkin
spellingShingle Marco Vocciante
Valery Meshalkin
An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
Sustainability
monitoring
surface measurements
inverse models
Richards’ equation
piecewise linear functions
boundary condition
author_facet Marco Vocciante
Valery Meshalkin
author_sort Marco Vocciante
title An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
title_short An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
title_full An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
title_fullStr An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
title_full_unstemmed An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
title_sort accurate inverse model for the detection of leaks in sealed landfills
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-07-01
description Leaks from landfills to underlying soil layers are one of the main problems that endanger the sustainability of waste disposal in landfills. Indeed, the possible failing of in-situ equipment can give rise to serious pollution consequences or costly inspection work in the landfill body.<i> </i>In this paper, we develop the time dependent mathematical relationship between the concentration of water at the surface of the landfill and the flux at the bottom of the landfill. This makes it possible to detect a leak using non-expensive measurements made at the surface of the landfill. The resulting model is obtained by analytically solving Richard’s equation with a piecewise linear boundary condition at the bottom. The unknown coefficients of the piecewise linear functions, which can be estimated using the measurements at the surface, provide the necessary information for detecting leaks. The algorithm has been numerically tested using simulated data of rain precipitation. The method proposed could be conveniently used to complement the usual monitoring techniques due to the limited costs of its implementation.
topic monitoring
surface measurements
inverse models
Richards’ equation
piecewise linear functions
boundary condition
url https://www.mdpi.com/2071-1050/12/14/5598
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