This lecture illustrates the basic concepts of an airshed and the methods to estimate the assimilative capacity of an airshed....

This lecture explains how to apportion the sources of emissions and methods of carrying out a source apportionment study....

This lecture illustrates the concepts and significance of receptor modelling and its application in source apportionment studies....

This lecture describes indoor air quality modelling and its advantages. The lecture also includes the numerical modelling of indoor air flow and the programs for indoor air quality modelling....

To improve air quality, knowledge of the sources and locations of air pollutant emissions is critical. However, for many global cities, no previous estimates exist of how much exposure to fine particulate matter (PM2.5), the largest environmental cause of mortality, is caused by emissions within the city vs. outside its boundaries. We use the Intervention Model for Air Pollution (InMAP) global-thr...

This document also provides recommended quality assurance (QA) procedures and guidance to help monitoring agencies reliably achieve the data quality objectives (DQOs) established for PM2.5 monitoring. The goal for acceptable measurement uncertainty has been defined as 10 percent coefficient of variation (CV) for total precision and ±10 percent for total bias (Papp et al., 1998). The information pr...

With over 8 million inhabitants and 4 million motor vehicles on the streets, Tehran is one of the most crowded and polluted cities in the Middle East. Frequent exceedances of national daily PM2.5 limit have been reported in this city during the last decade, yet, the chemical composition and sources of fine particles are poorly determined. In the present study, 24-hour PM2.5 samples were collected ...

This Source Apportionment (SA) study provides scientific evidence along with sectoral action plans for implementation, to move towards a cleaner Bengaluru. The source apportionment of particulate matter (PM) will help in understanding the emission sources and estimating the share of contributing sectors at different locations within Bengaluru city. Further, the information on PM2.5 and PM10 source...

This is a chapter from the Openair book on trajectory analysis. Back trajectories are extremely useful in air pollution and can provide important information on air mass origins. Despite the clear usefulness of back trajectories, their use tends to be restricted to the research community. Back trajectories are used for many purposes from understanding the origins of air masses over a few days to u...

Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machinelearning technique. The PSDF model requires backward trajectories and sampling data at a receptor site in the calculation as in the conventional model to locate source areas of ambient trace species, such as the...