Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case
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...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2021-03-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2020.9020017 |
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| author | Jamal Mabrouki Mourade Azrour Ghizlane Fattah Driss Dhiba Souad El Hajjaji |
| author_facet | Jamal Mabrouki Mourade Azrour Ghizlane Fattah Driss Dhiba Souad El Hajjaji |
| author_sort | Jamal Mabrouki |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a7b3687caa584a528c54feec9695d9c5 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2021-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-a7b3687caa584a528c54feec9695d9c52025-02-02T23:47:57ZengTsinghua University PressBig Data Mining and Analytics2096-06542021-03-0141101710.26599/BDMA.2020.9020017Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill CaseJamal Mabrouki0Mourade Azrour1Ghizlane Fattah2Driss Dhiba3Souad El Hajjaji4<institution content-type="dept">Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterial, Water and Environment, CERNE2D</institution>, <institution>Faculty of Science, Mohammed V University in Rabat</institution>, <city>Rabat</city> <postal-code>10000</postal-code>, <country>Morocco</country>.<institution content-type="dept">IDMS Team, Department of Computer Science, Faculty of Sciences and Techniques</institution>, <institution>Moulay Ismail University</institution>, <city>Errachidia</city> <postal-code>52000</postal-code>, <country>Morocco</country>.<institution content-type="dept">Civil Hydraulic and Environmental Engineering Laboratory</institution>, <institution>Mohammadia High School of Engineers</institution>, <city>Agdal Rabat</city> <postal-code>10090</postal-code>, <country>Morocco</country>.<institution content-type="dept">International Water Research Institute IWRI</institution>, <institution>University Mohammed VI Polytechnic (UM6P)</institution>, <city>Benguerir</city> <postal-code>43150</postal-code>, <country>Morocco</country>.<institution content-type="dept">Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterial, Water and Environment, CERNE2D</institution>, <institution>Faculty of Science, Mohammed V University in Rabat</institution>, <city>Rabat</city> <postal-code>10000</postal-code>, <country>Morocco</country>.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.https://www.sciopen.com/article/10.26599/BDMA.2020.9020017internet of things (iots)biogasmonitoringcompositiondetectionlandfill |
| spellingShingle | Jamal Mabrouki Mourade Azrour Ghizlane Fattah Driss Dhiba Souad El Hajjaji Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case Big Data Mining and Analytics internet of things (iots) biogas monitoring composition detection landfill |
| title | Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case |
| title_full | Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case |
| title_fullStr | Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case |
| title_full_unstemmed | Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case |
| title_short | Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case |
| title_sort | intelligent monitoring system for biogas detection based on the internet of things mohammedia morocco city landfill case |
| topic | internet of things (iots) biogas monitoring composition detection landfill |
| url | https://www.sciopen.com/article/10.26599/BDMA.2020.9020017 |
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