SIM-air family of tools “Simple Interactive Models for better air quality” were developed with one objective – make use of the best available information on all the known sources of air pollution to support integrated air quality management. A demo version of a reduced-complexity integrated air pollution analysis tool is available, to go from estimating emissions to pollution to impacts for a set ...

In this module, guidance is provided to help the reader review model reports and results. The operational guidelines can help assess aspects of air dispersion modeling that must be considered throughout the process. This will better inform the air quality manager to see if additional steps must be taken, or to sign off the whole air quality modeling process to be fit for policy development (refer ...

In this toolkit, description of some of the most common air quality models are discussed. This will help the reader become more familiar with the features of different air quality modeling tools which will best fit the available resources and AQM objectives of the city. Time, effort, and cost can go down if proper models are used and implemented by experts in the field. Ultimately, the validated o...

In this module, the basic principles and considerations in performing an air quality modeling is discussed, to guide the reader in understanding its advantages in air quality management. Further, it can help in making the necessary preparations for running an air quality model. Modeling is a method to give a representation of reality that is often difficult to understand. Models help in simplifyin...

SPECIATE is the EPA's repository of organic gas and particulate matter (PM) speciation profiles of air pollution sources. Among the many uses of speciation data, these emission source profiles are used to: create speciated emissions inventories for regional haze, PM, greenhouse gas (GHG), and photochemical air quality modeling; estimate hazardous air pollutant (HAP) emissions from PM and organic g...

SPECIEUROPE is a repository of source profiles developed by the JRC in the framework of FAIRMODE WG3. The target users are source apportionment and emission experts working on the identification of atmospheric pollution sources in urban or background areas in Europe. In order maximize the compatibility with existing systems, the encoding of species in SPECIEUROPE is coherent with the one of the we...

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...

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...

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...

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 ...