Statistics plot pollution to inform policy

phys.org | 7/11/2019 | Staff
Les7799 (Posted by) Level 3
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The spatial variation in different air pollution components helps identify possible targets for pollution control.

Modeling the spatial relationships among the main types of air pollutants has given KAUST researchers new insights into how they form in different regions and seasons, which could guide policies to manage pollution.

Year - Air - Pollution - Strokes - Lung

Each year, air pollution causes strokes, lung and heart diseases, and lung cancers, which are responsible for millions of deaths around the world. Although air pollution comes in many forms, the main factor is particles smaller than 2.5 micrometers, or 1/400thof a millimeter, which typically contains dust and soot, as well as significant levels of chemicals, such as sulfates and ammonium.

One of the major generators of 2.5-micrometer particulate matter (PM2.5) is a chemical reaction that turns gaseous sulfur and nitrogen—largely from vehicle exhaust and factory emissions—into larger and more toxic sulfate, nitrate and ammonium molecules. Because more than half of PM2.5 can be made up of these "secondary" chemicals, reducing sulfur and nitrogen emissions is seen as a way to bring down air pollution levels.

Emissions - Regions - KAUST - Sun - Wu

Identifying precisely where the harmful emissions occur can be challenging, particularly in industrializing regions. KAUST statisticians Ying Sun and Wu Wang applied a sophisticated statistics approach to more clearly find the locations where the drivers of air pollution...
(Excerpt) Read more at: phys.org
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