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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 […]

16- Quantifying spatio-temporal dynamics of African dust detection threshold for PM10 concentrations in the Caribbean area using multiscale decomposition [Plocoste et al (2022)]

The Caribbean basin is one of the regions on earth with a very high rate of asthma due to the presence of sand mists. Therefore, it is crucial to precisely quantify the presence of these hazes in the atmospheric boundary layer of this area. This article statistically and dynamically determines a new detection threshold for […]

15- Detecting the Causal Nexus between Particulate Matter (PM10) and Rainfall in the Caribbean Area [Plocoste (2022)]

Aerosol characteristics are key parameters that define cloud properties. This article analyzes the interactions between particles (PM10) and precipitation (RR) in the framework of entropy. Our results showed that there is a bidirectional causality between PM10 concentrations and RR values. This means that PM10 concentrations influence RR values ​​while RR also acts on PM10. Rainfall […]

14- Multiscale analysis of the dynamic relationship between particulate matter (PM10) and meteorological parameters using CEEMDAN: A focus on ‘‘Godzilla’’ African dust event [Plocoste (2022)]

Sand mists have a strong impact on climatic conditions. This article analyzes the dynamic relationship between PM10 particles and meteorological parameters (solar radiation (𝑆𝑅), air temperature (𝑇), wind speed and direction (𝑈 and 𝐷), rainfall (𝑅), relative humidity (𝑅ℎ ) and visibility (𝑉)) using time-dependent intrinsic correlation (TDIC) analysis. TDIC analysis captured both negative and […]

13- Is there a causal relationship between Particulate Matter (PM10) and air Temperature data? An analysis based on the Liang–Kleeman information transfer theory [Plocoste and Calif (2021)]

This article presents the results of the study of the causal relationship between PM10 particles and atmospheric temperature (T) in the Caribbean basin using entropy methods. To our knowledge, this work is the first to analyze the causal relationship between these two parameters for different time scales. Our results proved that there is a bidirectional […]