Analysis of Parameter Sensitivity to Enhance the Detection of Leaks in Sealed Landfills

Ecology and sustainable development. Environmental protection

4th International Scientific Conference «Chemical Technology and Engineering»: Proceedings – June 26–29th, 2023, Lviv, Ukraine – Lviv: Lviv Polytechnic National University, 2023, pp. 224–228

DOI: https://doi.org/10.23939/cte2023.224

Authors

First and Last Name	Academic degree	E-mail	Affiliation
Marco Vocciante	Ph.D.	marco.vocciante [at] unige.it	University of Genova Genova, Italy
Vincenzo Dovì	Sc.D.	vgdovi [at] gmail.com	VD Consulting Ltd London, United Kingdom

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 01.05.2023 - 12:59

Abstract

It was shown in a previous article that the presence of leaks in sealed landfills due to confinement failures can be assessed measuring surface moisture and relating it to leaks at the bottom of the landifll through a regularised inversion algorithm based on Richard’s equation with a piecewise linear boundary condition. Under the assumption of absence of leaks as the null hypothesis, the algorithm provides the value of the relevant F-statistic as a function of the accuracy of soil moisture measurements and of physical and meteorological parameters.

In this presentation we take into account the uncertainties of the parameters and estimate the corresponding ranges of the F-values by evaluating the derivatives of the F-statistic with respect to the parameters.

Keywords

Detection of confinement failures Richards’ Equation Inverse problem Regularisation techniques Sensitivity analysis of F-statistic

References

[1] Kaza, S., Yao, L., Bhada-Tata, P., & Van Woerden, F. (2018). What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050, World Bank Publications: Washington, DC, USA.

[2] Hix, K. (1998). Leak Detection for Landfill Liners: Overview of Tools for Vadose Zone Monitoring. Technology Status. Report Prepared for the U.S. E.P.A. Technology Innovation Office. Available online: https://clu-in.org/s.focus/c/pub/i/110/.

[3] Everett, L.G., Hoylman, E.W., Wilson, L.G., & McMillion, L.G. (1984). Constraints and Categories of Vadose Zone Monitoring Devices. Ground Water Monit. Remediat. 4, 26–32.

[4] Dahan, O., Talby, R., Yechieli, Y., Adar, E., Lazarovitch, N., & Enzel, Y. (2009). In Situ Monitoring of Water Percolation and Solute Transport Using a Vadose Zone Monitoring System. Vadose Zone J., 8, 916–925.

[5] Vocciante, M., & Meshalkin, V. P. (2020). An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills. Sustainability, 12(14), 5598. https://doi.org/10.3390/su12145598

[6] Yuan, F., & Lu, Z. (2005). Analytical Solutions for Vertical Flow in Unsaturated, Rooted Soils with Variable Surface Fluxes. Vadose Zone J., 4, 1210–1218

[7] Bischof, C.H., Carle A., Khademi P., & Mauer A. (1996). ADIFOR 2.0: Automatic Differentiation of Fortran 77 Programs. IEEE Computational Science & Engineering, 3 (3), 18-32.

First published Full Text (01.05.2023 - 12:59)

Official paper