Data Interpretation and Source Apportionment of Air Pollution
Air particulate pollution is of major concern within Pakistan as well as on a global level. Emissions from combustion processes such as motor vehicles, fossil fuel burning for power generation and large industrial processes are the main contributors of pollutants to the environment. To understand the role of air particulates in these processes, it is important to monitor the environment and determine the composition of air particles. The information obtained can be used to identify the sources and origin of anthropogenic and natural pollution sources. The initial part of this workshop will briefly deal with monitoring of air pollutants; the various methods employed and techniques used. Fine atmospheric particles have been found to play a key role in global climatic changes, pollution transport and adverse health effects on humans. Fine particles with diameters less than 2.5 m are small enough to penetrate deep into the lungs and hence pose significant health risk. It is, therefore, important for environmental monitoring agencies to understand and quantify sources of fine particles air pollution in urban environments through logical modeling of the raw data. The main aim of this workshop is to impart know-how about the different softwares used for the quantitative source apportionment of air pollutants. The workshop, fourth in the series will help the participants acquire up-to-date practical and theoretical background of mathematical models that can be applied for the interpretation of airborne elemental pollution. These softwares will assist in the interpretation of local and regional data and to fully understand the pollution sources for formulation of strict legislations concerning emission control strategies for new as well as for older industry. The scope of the workshop includes:
Monitoring of air pollutants; samplers and techniques used
Significance of monitoring fine particles with diameter < PM2.5
Air particulate matter (APM) elemental data handling prior to application of software.
Calculation of reconstructed mass (RCM)
Application of source identification software i.e. Positive Matrix Factorization (PMF)
Application of HYSPLIT model for cross boundary pollution migration sources