Methodology for the implementation of land use regression models to monthly local estimation of the PM10’s concentration in Medellin – Colombia
Keywords:
Land Use Regression Models, Air PollutionAbstract
This article describes a methodology that applies the Land Use Regression models (LUR) to data of some potential explanatory variables available in January 2007 (land use, main roads, millimeters of rain and noise decibels) to estimate the local monthly average concentrations of PM10 (μgm/m3) at 10 monitoring sites of the air quality network (RedAire) of Medellin - Colombia. The methodology used geographic information systems (GIS), the method of ordinary least squares (OLS) and geographically weighted regression. From 11 models obtained, the best was a linear function of the distance to the main roads with a R2 of 0.79. The first part introduces the LUR models. In the methodology the LUR models are implemented, the results are obtained, an analysis is carried out and finally, the conclusions are presented.Article Metrics
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