Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM_2.5 and PM₁₀.

ABSTRACT: Air pollution regulation requires knowing major sources on any given zone, setting specific controls, and assessing how health risks evolve in response to those controls. Receptor models (RM) can identify major sources: transport, industry, residential, etc. However, RM results are typically available for short term periods, and there is a paucity of RM results for developing countries. We propose to combine a cluster analysis (CA) of air pollution and meteorological measurements with a short-term RM analysis to estimate a long-term, hourly source apportionment of ambient PM_2.5 and PM₁₀. We have developed a proof of the concept for this proposed methodology in three case studies: a large metropolitan zone, a city with dominant residential wood burning (RWB) emissions,

SUBMITTER: Jorquera H 

PROVIDER: S-EPMC7697898 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature