Predicting PM10 from PM2.5 and NO2 Levels in Metropolitan Lima, Peru: A Regularized Regression Approach
Suspended particle pollution (PM10) represents a serious public health problem in Metropolitan Lima, since its high levels are related to an increase in respiratory and heart diseases. This work aims to anticipate PM10 concentrations in seven districts of Lima using a multiple linear regression (OLS) model with the Rid...