Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/40896

Title: Optical Monitoring of Particulate Matter: Calibration Approach, Seasonal and Diurnal Dependency, and Impact of Meteorological Vectors
Authors: Zaim, Salma
Laarabi, Bouchra
Chamali, Hajar
Dahrouch, Abdelouahed
Arbaoui, Asmae
Rahmani, Khalid
Barhdadi, Abdelfettah
Tlemçani, Mouhaydine
Keywords: air pollution
particulate matter
solar energy
meteorological variables
random forest
Issue Date: 16-Jul-2025
Publisher: MDPI
Abstract: The worldwide air pollution situation reveals significant environmental challenges. In addition to being a major contributor to the deterioration of air quality, particulate matter (PM) is also an important factor affecting the performance of solar energy systems given its ability to decrease light transmission to solar panels. As part of our research, the present investigation involves monitoring concentrations of PM using a high-performance optical instrument, the in situ calibration protocol of which is described in detail. For the city of Rabat, observations revealed significant variations in concentrations between day and night, with peaks observed around 8 p.m. correlating with high relative humidity and low wind speeds, and the highest levels recorded in February with a monthly average value reaching 75 μm/m3. In addition, an experimental protocol was set up for an analysis of the elemental composition of particles in the same city using SEM/EDS, providing a better understanding of their morphology. To assess the impact of meteorological variables on PM concentrations in two distinct climatic environments, a database from the city of Marrakech for the year 2024 was utilized. Overall, the distribution of PM values during this period did not fluctuate significantly, with a monthly average value not exceeding 45 μm/m3. The random forest method identified the most influential variables on these concentrations, highlighting the strong influence of the type of environment. The findings provide crucial information for the modeling of solar installations’ soiling and for improving understanding of local air quality.
URI: https://www.mdpi.com/2076-3298/12/7/244
http://hdl.handle.net/10174/40896
Type: article
Appears in Collections:CREATE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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