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Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area
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| Zeitschriftentitel: | Naše more |
|---|---|
| Personen und Körperschaften: | , |
| In: | Naše more, 64, 2017, 3, S. 77-85 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
University of Dubrovnik
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| Schlagwörter: |
| author_facet |
Trošić Lesar, Tanja Filipčić, Anita Trošić Lesar, Tanja Filipčić, Anita |
|---|---|
| author |
Trošić Lesar, Tanja Filipčić, Anita |
| spellingShingle |
Trošić Lesar, Tanja Filipčić, Anita Naše more Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area Process Chemistry and Technology Ocean Engineering Transportation Water Science and Technology |
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trošić lesar, tanja |
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Trošić Lesar, Tanja Filipčić, Anita 0469-6255 1848-6320 University of Dubrovnik Process Chemistry and Technology Ocean Engineering Transportation Water Science and Technology http://dx.doi.org/10.17818/nm/2017/3.1 <jats:p>The main objective of this study is to simulate the daily change of the particulate matter (PM10) concentrations using a multiple linear regression (MLR) model for the selected sea breeze cases in Split and Kaštel-Sućurac, which are situated in the central part of the Eastern Adriatic coast, for the period from 2007 to 2009. A new predictor characteristic to the daily and nightly part of the coastal circulation is included in the MLR model. The MLR model results well match the PM10 concentration measurements during the selected sea breeze cases in Split (with the correlation coefficient R2=0.77 and the index of the agreement IA = 0.89) and Kaštel-Sućurac (R2=0.65, IA =0.81), and they also match the measurements during land breeze (for Split R2=0.66, IA=0.86 and for Kaštel-Sućurac R2=0.66, IA=0.70).</jats:p> Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area Naše more |
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| title |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_unstemmed |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_full |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_fullStr |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_full_unstemmed |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_short |
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_sort |
multiple linear regression (mlr) model simulation of hourly pm10 concentrations during sea breeze events in the split area |
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Process Chemistry and Technology Ocean Engineering Transportation Water Science and Technology |
| url |
http://dx.doi.org/10.17818/nm/2017/3.1 |
| publishDate |
2017 |
| physical |
77-85 |
| description |
<jats:p>The main objective of this study is to simulate the daily change of the particulate matter (PM10) concentrations using a multiple linear regression (MLR) model for the selected sea breeze cases in Split and Kaštel-Sućurac, which are situated in the central part of the Eastern Adriatic coast, for the period from 2007 to 2009. A new predictor characteristic to the daily and nightly part of the coastal circulation is included in the MLR model. The MLR model results well match the PM10 concentration measurements during the selected sea breeze cases in Split (with the correlation coefficient R2=0.77 and the index of the agreement IA = 0.89) and Kaštel-Sućurac (R2=0.65, IA =0.81), and they also match the measurements during land breeze (for Split R2=0.66, IA=0.86 and for Kaštel-Sućurac R2=0.66, IA=0.70).</jats:p> |
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| description | <jats:p>The main objective of this study is to simulate the daily change of the particulate matter (PM10) concentrations using a multiple linear regression (MLR) model for the selected sea breeze cases in Split and Kaštel-Sućurac, which are situated in the central part of the Eastern Adriatic coast, for the period from 2007 to 2009. A new predictor characteristic to the daily and nightly part of the coastal circulation is included in the MLR model. The MLR model results well match the PM10 concentration measurements during the selected sea breeze cases in Split (with the correlation coefficient R2=0.77 and the index of the agreement IA = 0.89) and Kaštel-Sućurac (R2=0.65, IA =0.81), and they also match the measurements during land breeze (for Split R2=0.66, IA=0.86 and for Kaštel-Sućurac R2=0.66, IA=0.70).</jats:p> |
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| spelling | Trošić Lesar, Tanja Filipčić, Anita 0469-6255 1848-6320 University of Dubrovnik Process Chemistry and Technology Ocean Engineering Transportation Water Science and Technology http://dx.doi.org/10.17818/nm/2017/3.1 <jats:p>The main objective of this study is to simulate the daily change of the particulate matter (PM10) concentrations using a multiple linear regression (MLR) model for the selected sea breeze cases in Split and Kaštel-Sućurac, which are situated in the central part of the Eastern Adriatic coast, for the period from 2007 to 2009. A new predictor characteristic to the daily and nightly part of the coastal circulation is included in the MLR model. The MLR model results well match the PM10 concentration measurements during the selected sea breeze cases in Split (with the correlation coefficient R2=0.77 and the index of the agreement IA = 0.89) and Kaštel-Sućurac (R2=0.65, IA =0.81), and they also match the measurements during land breeze (for Split R2=0.66, IA=0.86 and for Kaštel-Sućurac R2=0.66, IA=0.70).</jats:p> Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area Naše more |
| spellingShingle | Trošić Lesar, Tanja, Filipčić, Anita, Naše more, Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area, Process Chemistry and Technology, Ocean Engineering, Transportation, Water Science and Technology |
| title | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_full | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_fullStr | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_full_unstemmed | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_short | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| title_sort | multiple linear regression (mlr) model simulation of hourly pm10 concentrations during sea breeze events in the split area |
| title_unstemmed | Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area |
| topic | Process Chemistry and Technology, Ocean Engineering, Transportation, Water Science and Technology |
| url | http://dx.doi.org/10.17818/nm/2017/3.1 |