With support from the National Science Foundation and the US State Department, we have started an air quality monitoring network in Kinshasa, DR Congo, a megacity with population over 11 million which suffers from poor air quality yet has no monitoring infrastructure. Other projects include air quality knowledge capacity building in Accra, Ghana (partner with Ghana EPA), sensor deployments in Nairobi, Kenya, Kampala, Uganda, and Lomé, Togo, and using models and remote sensing techniques in India, China, and sub-Saharan Africa.
Some topics we have worked on in the past include: 1) The impact of changes in emissions in specific regions on local and remote climate, 2) Aerosol impacts on clouds and precipitation and 3) The effect of absorbing aerosols on tropical monsoon systems. We use and develop three coupled chemistry-climate models: GFDL climate models, GISS ModelE, and CESM (NCAR).
The team has been busy this fall semester conducting research, teaching, and field work. We are proud to announce 3 group members being recently honored for their work.
1. Visiting PhD Student Victoria Owusu Tawiah was awarded Best Poster at the International Conference for Air Quality in Africa for her poster titled "Relationship between meteorological parameters and PM2.5 in Accra"!
The group is here in Raleigh, NC with a number of scientific contributions to the American Association for Aerosol Research 2022 annual conference this week!
First up is PhD student Garima Raheja, presenting on low cost sensor intercomparison, evaluation, and long term deployment in two major West African cities (Accra and Lomé). Tuesday, 4:15pm in Room 302A
A major group field work trip has just concluded in Ghana and Togo. On the agenda was training and teaching, installation of reference monitors and low cost sensors, and meetings with local stakeholders.
Mr. Emmanuel Appoh kindly hosted Prof. Westervelt at the EPA Ghana for 1 week, where Prof. Westervelt gave a weeklong certificate program on air quality data analysis, air quality modeling, and hands on experience in estimating the performance of and developing correction factors for low cost air sensors.