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Open Access

Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case

Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterial, Water and Environment, CERNE2D, Faculty of Science, Mohammed V University in Rabat, Rabat 10000, Morocco.
IDMS Team, Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia 52000, Morocco.
Civil Hydraulic and Environmental Engineering Laboratory, Mohammadia High School of Engineers, Agdal Rabat 10090, Morocco.
International Water Research Institute IWRI, University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco.
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Abstract

Mechanization is a depollution activity, because it provides an energetic and ecological response to the problem of organic waste treatment. Through burning, biogas from mechanization reduces gas pollution from fermentation by a factor of 20. This study aims to better understand the influence of the seasons on the emitted biogas in the landfill of the city Mohammedia. The composition of the biogas that naturally emanates from the landfill has been continuously analyzed by our intelligent system, from different wells drilled in recent and old waste repositories. During the rainy season, the average production of methane, carbon dioxide, and oxygen and nitrogen are currently 56%, 32%, and 1%, respectively, compared to 51%, 31%, and 0.8%, respectively, for old waste. Hazards levels, potential fire, and explosion risks associated with biogas are lower than those of natural gases in most cases. For this reason a system is proposed to measure and monitor the biogas production of the landfill site remotely. Measurement results carried out at various sites of the landfill in the city of Mohammedia by the system show that the biogas contents present dangers and sanitary risks which are of another order.

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Big Data Mining and Analytics
Pages 10-17
Cite this article:
Mabrouki J, Azrour M, Fattah G, et al. Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case. Big Data Mining and Analytics, 2021, 4(1): 10-17. https://doi.org/10.26599/BDMA.2020.9020017

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Received: 11 June 2020
Revised: 28 July 2020
Accepted: 24 August 2020
Published: 12 January 2021
© The author(s) 2021

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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