26- Multifractal analysis of air pollutant dynamics in the Caribbean during the COVID-19 lockdown. [Plocoste et al (2026)]
This study examines how the COVID-19 lockdown influenced air pollution in the Caribbean. The results show that nitrogen oxides, pollutants mainly produced by human activities such as road traffic, decreased significantly when mobility was reduced in 2020. In contrast, particulate matter (PM10) increased, largely due to the influence of natural sources in the region, particularly […]
25- Discriminating Aerosol Regimes in the Caribbean: A Multi-scale Approach Using PM₂.₅/PM₁₀ Ratios, Optical Properties, and Satellite Observations. [Euphrasie-Clotilde et al (2026)]
The Caribbean is one of the world’s main regions affected by Saharan dust, yet localized studies on aerosol types remain limited. This research introduces an innovative approach combining ground-based measurements, particle size analyses, and satellite observations to better characterize aerosol regimes over Puerto Rico between 1999 and 2021. The results reveal a clear predominance of […]
24- Identification of Aerosols’ Optical Properties in the Caribbean Area Using Ascending Hierarchical Clustering Analysis [Euphrasie-Clotilde et al (2025)]
Over the past decade, although the frequency of dust episodes has remained stable, their intensity has increased, necessitating more advanced characterization methods. The integration of multiple optical parameters enables a more comprehensive assessment of their interactions, which is essential for deepening our understanding of particulate pollution and its implications for sustainable development. In our latest […]
23- Investigation of PM2.5 and PM10 dynamics in the Caribbean basin using a multifractal framework [Plocoste et al (2024)]
In response to the increasing desertification in Africa due to climate change, it is crucial to better understand the behavior of fine particles (PM2.5 and PM10) in the Caribbean. These dust particles significantly impact the health of Caribbean populations. This study is the first to simultaneously analyze the time series of PM2.5 and PM10 in […]
22- Application of aggregation operators for forecasting PM10 fluctuations : From available Caribbean data sites to unequipped ones [Plocoste et al (2024)]
Air pollution is a major issue for public health. Predicting levels of airborne particles, particularly those of natural origin like African sand mists, enables more effective warnings for affected populations. Currently, only three islands continuously measure PM10 concentrations in the Caribbean area. Thus, there is a significant issue in forecasting these particulate pollutants for unequipped […]
21- Multifractal detrended fluctuation analysis of rainfall time series in the Guadeloupe archipelago [Gómez-Gómez et al (2023)]
Due to the fragility of the Caribbean islands in the face of climate change, it is crucial to understand precipitation patterns. Additionally, the soils of the French Antilles islands have been contaminated by an organochlorine insecticide (Chlordane), which undergoes decontamination primarily through natural soil leaching. Therefore, it is essential to study the spatiotemporal variations of […]
20- Multiscale correlation analysis between wind direction and meteorological parameters in Guadeloupe archipelago [Plocoste and Sankaran (2023)]
In island contexts, waste management is a major problem due to the lack of space. Open dumps are often located in the heart of urban areas. In these places where there are many microclimates, it is crucial to better understand the fate of air pollutants from landfills. It is well known that meteorological parameters play […]
19- Study of the dynamical relationships between PM2.5 and PM10 in the Caribbean area using a multiscale framework [Plocoste et al (2023)]
Due to the high health impact of mineral dust in the Caribbean basin, it is important to know the relationship between particles less than or equal to 2.5 and 10 µm in diameter (PM2.5 and PM10). For the first time in the field of atmospheric pollution, a dynamic cross-correlation analysis was carried out between these […]
18- Forecasting PM10 Concentrations in the Caribbean Area Using Machine Learning Models [Plocoste and Laventure (2023)]
In the Caribbean basin, particles less than or equal to 10 µm in diameter (PM10) have a significant epidemiological impact due mainly to the transport of desert dust. For the first time in this geographical area, the theoretical framework of artificial intelligence has been applied to predict PM10 concentrations. Six machine learning models were therefore […]
17- Analysis of particulate matter (PM10) behavior in the Caribbean area using a coupled SARIMA-GARCH model [Esdra et al (2022)]
The periodic transport of sand mists over the Atlantic towards the arc of the Lesser Antilles is the major particulate pollution factor in the Caribbean area. Given the impact of desert dust on human health and the climate, it is necessary to model and predict the fluctuations in the concentrations of particles with a diameter […]