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 […]
12- Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown [Pavón-Domínguez and Plocoste (2021)]
Due to the COVID-19 pandemic, the effects of confinement on the level of air pollution are undeniable. In this study, the city of Seville (Spain) is used as an example of a high traffic location where nitrogen dioxide (NO2) is significantly reduced (41%) while tropospheric ozone (O3) does not show changes. significant. To assess the […]
11- Wet scavenging process of particulate matter (PM10): A multivariate complex network approach [Plocoste et al (2021)]
This article presents the results of the study of the leaching of PM10 from the atmosphere by rainfall using a new complex multilayer network called Multiplex Visibility Graphs (MVG). To our knowledge, this work is the first to assess wet PM10 deposition according to African dust seasonality using multivariate time series. For this, we use […]
10- Particle Size Analysis of African Dust Haze over the Last 20 Years: A Focus on the Extreme Event of June 2020 [Euphrasie et al (2021)]
Over the past decades, the impact of mineral dust from African deserts on human health and the climate has been of great interest to the scientific community. In this article, the KaruSphere laboratory carried out a particle size analysis of dust events over the past 20 years in the Caribbean region. The focus is on […]
9- Background PM10 atmosphere: In the seek of a multifractal characterization using complex networks [Plocoste et al (2021)]
In the literature, several epidemiological studies have already associated respiratory and cardiovascular diseases with acute exposure to mineral dust. However, frail people are also susceptible to chronic exposure to particles with an aerodynamic diameter of 10 μm or less (𝑃𝑀10). Therefore, it is essential to better understand the fluctuations of 𝑃𝑀10 at all scales. In […]
8- Multifractal Detrended Cross-Correlation analysis of wind speed and solar radiation [Plocoste and Pavón-Domínguez (2020)]
Wind is a key meteorological parameter in the field of renewable energies and the dispersion of atmospheric pollutants. Being able to determine and predict the fluctuations of its intensity is therefore a major challenge. In partnership with the University of Cadiz, the KaruSphère laboratory carried out a spatio-temporal multifractal analysis of wind speed as a […]
7- Multifractal characterisation of particulate matter (PM10) time series in the Caribbean basin using visibility graphs [Plocoste et al (2021)]
Exposure to fine particles (PM10) has adverse health effects. In partnership with the University of Córdoba and the University of the Antilles, the KaruSphere laboratory studied the stochastic behavior of PM10 time series using a complex network framework. In this study, the method known as Visibility Graph (VG, visibility graph) is used to describe the […]
6- Investigation of local correlations between particulate matter (PM10) and air temperature in the Caribbean basin using Ensemble Empirical Mode Decomposition [Plocoste et al (2020)]
In the literature, many studies talk about the impact of aerosols (PM10) on the climate. However, few of them study the effects. In partnership with the University of the West Indies, the KaruSphère laboratory studied the impact of PM10 on air temperature (T) using descriptive and dynamic statics. To carry out this analysis, 11 years […]
5- The statistical behavior of PM10 events over Guadeloupean archipelago: Stationarity, modelling and extreme events [Plocoste et al (2020)]
Unlike European, Asian or American megacities, the high concentrations of fine particles with a diameter of less than 10 µm (PM10) in Guadeloupe are mainly due to sand mists. In partnership with the University of the West Indies, the KaruSphère laboratory studied the statistical behavior of PM10. For the first time in the Caribbean region, […]