Journal Article - Comprehensive Health Risk Assessment of PM2.5 Chemical Composition in an Urban Megacity: A Case Study from Greater Cairo Area

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Report - Tools for Improving Air Quality Management : A Review of Top-down Source Apportionment Techniques and Their Application in Developing Countries

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Journal Article - A Review of Receptor Model and New Advances in Source Apportionment Techniques for Air Pollution Research

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Monitoring Ambient Air Quality in Indian NCAP City Airsheds

In this SIM-air Working Paper Series # 40-2021, we defined (a) the size of NCAP city airsheds (b) the recommended number of ambient air quality monitoring sites in an airshed (c) the operational sampling frequency to support receptor-based source apportionment studies. These resources are necessary for strengthening the monitoring needs of an airshed to track pollution levels, to conduct receptor-model-based source apportionment studies, and to support long-term air quality management plans.
[Download the full document]
[Download grid & airshed information by city]
[More supporting material is posted here]

Journal Article - The Influence of Local and Regional Sources on Concentrations of Fine Particulate Matter in Delhi

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Journal Article - Identification of source contributions to fine particulate matter at Indian desert-urban mixed region

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Infograph - How the top-down source apportionment process works?

More on air pollution @ http://www.urbanemissions.info

Also see a primer on how to conduct source apportionment, steps, and resource material.

 

Journal Article - Contributions of non-tailpipe emissions to near-road PM2.5 and PM10: A chemical mass balance study

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Journal Article - Trends of source apportioned PM2.5 in Tianjin over 2013–2019: Impacts of Clean Air Actions

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Journal Article - Chemical composition and potential sources of PM2.5 in Hanoi

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Journal Article - Source apportionment and potential source regions of size-resolved particulate matter at a heavily polluted industrial city in the Indo-Gangetic Plain

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Journal Article - Global review of source apportionment of volatile organic compounds based on highly time-resolved data from 2015 to 2021

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Journal Article - Variation in chemical composition and sources of PM2.5 during the COVID-19 lockdown in Delhi

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Journal Article - Real-time source apportionment of fine particle inorganic and organic constituents at an urban site in Delhi city

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Journal Article - Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China

Journal Article - Evaluation of receptor and chemical transport models for PM10 source apportionment

Infograph - How the Receptor Model Based Source Apportionment Works?

The 101 note is my attempt to explain air pollution monitoring – What purpose does it serve? Is ambient monitoring the same as emissions monitoring? How does one monitor? How do “low-cost” monitors fit in?

Building an effective air pollution control plan for the cities and the regions, it is important to know the contribution of sources. This is not a easy process, as it involves many steps, some related to field experiments, some related to laboratory analysis, some related to (statistical and predictive) modeling, and some related to linking the results to pollution control planning. We tried to structure these steps into this primer of pollution source apportionment, explaining the various steps involved in building an informed air quality management plan. You can download a pdf version of the primer here or browse the pages below.