Regional PM2.5 Estimation for Southern Ontario through Geographically Weighted Regression

نویسندگان

چکیده

In this study, a geographically weighted regression (GWR) approach was adopted to forecast regional concentration of particulate matter 2.5 (PM2.5) for the southern Ontario based on both in situ meteorological measurement and Satellite retrievals aerosol optical depth (AOD). The correlation between monitored PM2.5 Satellite-retrieved AOD would be quantified. ground-level South area then predicted using GWR with variables considered as inputs. results indicated that performance slightly better than ordinary least squares (OLS) model, indicating spatial variations independent dependent variables. Consequently, model can help us predict terms time or region satellite data, also improve data inversion.

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ژورنال

عنوان ژورنال: Journal of environmental informatics letters

سال: 2023

ISSN: ['2663-6859', '2663-6867']

DOI: https://doi.org/10.3808/jeil.202300100