‹ Wednesday, November 27, 2024 › | |
10:00
11:00
12:00
13:00
14:00
15:00
16:00
|
›10:00 (10min)
10:00 - 10:10 (10min)
Welcome
Dr. Bertrand Tchanche
›10:10 (50min)
10:10 - 11:00 (50min)
Air Quality Data in Africa
Sotirios Papathanasiou
› 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)
›11:00 (10min)
11:00 - 11:10 (10min)
Coffee break
›11:10 (50min)
11:10 - 12:00 (50min)
Artificial Intelligence (AI) & Machine Learning (ML)
› 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)
›12:00 (1h)
12:00 - 13:00 (1h)
Lunch
›13:00 (1h)
13:00 - 14:00 (1h)
Mathematics & Statistics for Data Science
› 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)
›14:00 (15min)
14:00 - 14:15 (15min)
Coffee break
›14:15 (1h)
14:15 - 15:15 (1h)
Remote Sensing (RS)
› Air Quality Remote Sensing Missions and Datasets
- Carl Malings, NASA, Morgan State University
14:15-15:15 (1h)
›15:15 (15min)
15:15 - 15:30 (15min)
Break
›15:30 (1h)
15:30 - 16:30 (1h)
Remote Sensing (RS)
› 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)
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Session | Speech | Logistics | Break | Tour |