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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 11 years of daily PM10 and rainfall data from the Guadeloupe archipelago. To analyze the impact of precipitation on PM10 behavior, two MVG parameters were calculated: the average edge overlap (ω) and the mutual information between layers (IPM10Rainfall). On the one-day scale, the ω results showed that the leaching process was higher during the second semester when the high dust season and the rainy season are juxtaposed. This highlights a greater correlation between the microscopic structure of the signal and the impact of precipitation on PM10 concentrations. The more the atmosphere is laden with dust, the more the leaching is significant. The calculated joint probability between PM10 and rainfall confirmed this trend. The IPM10Rainfall results indicate a correlation between PM10 and rainfall patterns throughout the year. Additionally, IPM10Rainfall values ​​are higher during the transition periods between winter and summer (and vice-versa).