Author
Listed:
- Adil El Arfaoui
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco)
- Mohamed El Khaili
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco)
- Imane Chakir
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco)
- Oumaima Arif
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco
LPRI Lab, EMSI Casablanca, Casablanca 20100, Morocco)
- Hasna Nhaila
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco)
- Ismail Essamlali
(Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mail Box 159, Mohammedia 28810, Morocco)
- Mohamed Tabaa
(LPRI Lab, EMSI Casablanca, Casablanca 20100, Morocco)
Abstract
The growth of human activity in cities is a key factor in the degradation of air quality. Numerous studies have demonstrated the link between air quality and the existence of dangerous and chronic diseases that are extremely costly for individuals and society. This study presents an analytical framework that compares fixed and mobile air-quality monitoring approaches in cities with limited resources, using Mohammedia city, Morocco, as an example. The framework centers on mobile monitoring units mounted on vehicles and equipped with affordable sensors, GPS technology, and wireless communication systems to track important pollutants, including fine particulate matter (PM 2.5 and PM 10 ) and harmful gaseous compounds (NO 2 , SO 2 , CO, O 3 ). The evaluation relies on scenario-based modeling, performance data from existing literature, and calculations of costs throughout the system’s lifetime. To enhance measurement reliability, the researchers developed a correction system that addresses measurement errors caused by temperature, humidity, vehicle speed, vibrations, traffic-related interference, operational interruptions, and communication limitations. The findings indicate that fixed monitoring stations deliver superior measurement precision, with estimated uncertainty ranging from ±1.2–2.5%, though their coverage area is restricted to 0.534 km 2 (representing 1.6% of Mohammedia). In comparison, the suggested mobile setup could potentially monitor 9.8 km 2 , covering approximately 30% of the city, while decreasing infrastructure needs and setup time (2–4 h compared to 2–4 weeks). Over 10 years, the total cost is EUR 252,000 for mobile monitoring, compared with EUR 3.6 million for a network of 20 fixed stations. These results demonstrate that corrected mobile monitoring systems offer significant promise as an economical and sustainable approach for managing urban environmental conditions.
Suggested Citation
Adil El Arfaoui & Mohamed El Khaili & Imane Chakir & Oumaima Arif & Hasna Nhaila & Ismail Essamlali & Mohamed Tabaa, 2026.
"Towards Improving Air Quality Monitoring Using Fixed and Mobile Stations: Case of Mohammedia City,"
Sustainability, MDPI, vol. 18(6), pages 1-27, March.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:6:p:2944-:d:1896461
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