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The Hourly Simulation of PM2.5 Particle Concentrations Using the Multiple Linear Regression (MLR) Model for Sea Breeze in Split, Croatia
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The Hourly Simulation of PM2.5 Particle Concentrations Using the Multiple Linear Regression (MLR) Model for Sea Breeze in Split, Croatia
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Journal Article
The Hourly Simulation of PM2.5 Particle Concentrations Using the Multiple Linear Regression (MLR) Model for Sea Breeze in Split, Croatia
2021
Overview
The main objective of this study is to simulate the hourly concentrations of the PM2.5 concentrations using the Multiple Linear Regression (MLR) model for the selected sea breeze days in Split, Croatia. Stepwise adjustment is used for the selection of predictors. A predictor characteristic to the daily and nightly part of the coastal circulation, calculated as hourly temperature change to the temperature at the time of the sea breeze lulls, was found to be significant for PM2.5 particles during sea breeze. The mean monthly values of the MLR model simulated and measured PM2.5 hourly concentrations for the selected sea breeze cases were simulated relatively well. The hourly simulations also show a very good fit with the hourly measurements, and the index of agreement (IA) is 0.9 for the daily and 0.8 for the nightly part of the coastal circulation.
Publisher
Springer Nature B.V
Subject
