Abstract
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.
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Data Availability
The data are available on reasonable request and with approval of the Croatian Environment Agency.
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Not applicable.
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Acknowledgements
The authors would like to thank the Croatian Environment Agency for the meteorological and pollutant measurements used in this work and Cemex Croatia d.d. for the information on the measurements provided. The authors thank anonymous reviewers for their useful suggestions.
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Lesar, T.T., Filipčić, A. The Hourly Simulation of PM2.5 Particle Concentrations Using the Multiple Linear Regression (MLR) Model for Sea Breeze in Split, Croatia . Water Air Soil Pollut 232, 261 (2021). https://doi.org/10.1007/s11270-021-05209-w
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DOI: https://doi.org/10.1007/s11270-021-05209-w