› Aerosol optical properties over three cities of Angola using long term AERONET data - Pascoal Micolo D. Campos, CNIC - Centro Nacional de Investigação Científica, Ministério do Ensino Superior, Ciência, Tecnologia e Inovação, Angola
10:10-10:20 (10min)
› Characterization and Source Apportionment of Organic and Inorganic Compounds in PM10 Aerosols at a Northern African Site in Algeria - Sidali KHEDIDJI, University of Sciences and Technology Houari Boumediene (USTHB)
10:20-10:30 (10min)
› Assessment of ambient air pollution in the city of Kenitra – Morocco: temporal variations and relationship with Meteorological Variables - Mustapha ZGHAID, Biology and health laboratory, Department of Biology, Faculty of Sciences, Ibn Tofail University
10:30-10:40 (10min)
› Machine Learning Prediction of CO2 Flow Based on Radon and CO2 Data from Conventional and Customized IoT Devices - Jacob Mbarndouka Taamté, Mbarndouka Taamté Jacob
11:10-11:25 (15min)
› Machine Learning for satellite precipitation estimation - Daniele Casella, Istituto di Scienze dellÁtmosfera e del Clima [Roma]
11:25-11:40 (15min)
› Particulate Matter Source Apportionment from a Dense Low Cost Sensor Network Using Bayesian Inference - Ian Aine, Makerere University [Kampala, Ouganda]
13:00-13:15 (15min)
› How Accurate is my Air Quality Monitor? Understanding Accuracy, Precision, and Performance - Anika Krause, AirGradient
13:15-13:30 (15min)
› Receptor-based source apportionment modelling and applications - Adriana Pietrodangelo, Istituto sull'Inquinamento Atmosferico = Institute of Atmospheric pollution Research
13:30-13:45 (15min)
› Satellite Variables for Tracking Air Quality and Climate in Africa Part II: Using Google Earth Engine for Comprehensive Tracking and Analysis of Air Quality and Climate Variables - Patrick Reddy, University of Wisconsin-Madison
15:30-16:30 (1h)