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