[en] The monitoring of biogas emissions has become a concern regarding the greenhouse effect of methane emitted over the waste treatment plants. Besides, chemical sensors array as metal oxide semiconductor (MOS) one has the technical potential to manage, in real-time, these emissions. The use of these devices could help to organise fast, easy and regular controls regarding their low cost and their low power consumption. The data treatment of MOS sensors array signal is a crucial aspect for their use. In the purpose of performing biogas monitoring over a landfill, a prediction model based on PCA and quantile regression has been developed and tested over a landfill. The results showed that it was possible to recognise areas easily with biogas emissions and those with no emissions. Following these promising results, a mapping of methane concentrations over the landfill could capture possible emissions trends or patterns.
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
Taguem Ngoualadjio, Eric Martial ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement
Romain, Anne-Claude ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement
Language :
English
Title :
Biogas Recognition over Landfill with MOS Gas Sensors Array and PCA-quantile Regression
Publication date :
05 February 2021
Number of pages :
32
Event name :
ICPRAM - 10th International Conference on Pattern Recognition Apllications and Methods
Event organizer :
nstituto de Telecomunicações and University of Lisbon, Portugal