Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 904390

Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area


Trošić Lesar, Tanja; Filipčić, Anita
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area // Naše more : znanstveni časopis za more i pomorstvo, 64 (2017), 3; 77-85 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 904390 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area

Autori
Trošić Lesar, Tanja ; Filipčić, Anita

Izvornik
Naše more : znanstveni časopis za more i pomorstvo (0469-6255) 64 (2017), 3; 77-85

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
PM10 concentrations ; sea breeze ; MLR model ; Split area

Sažetak
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).

Izvorni jezik
Engleski

Znanstvena područja
Geofizika, Interdisciplinarne prirodne znanosti, Geografija



POVEZANOST RADA


Ustanove:
Državni hidrometeorološki zavod,
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Anita Filipčić (autor)

Avatar Url Tanja Trošić (autor)

Poveznice na cjeloviti tekst rada:

hrcak.srce.hr

Citiraj ovu publikaciju:

Trošić Lesar, Tanja; Filipčić, Anita
Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area // Naše more : znanstveni časopis za more i pomorstvo, 64 (2017), 3; 77-85 (međunarodna recenzija, članak, znanstveni)
Trošić Lesar, T. & Filipčić, A. (2017) Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area. Naše more : znanstveni časopis za more i pomorstvo, 64 (3), 77-85.
@article{article, author = {Tro\v{s}i\'{c} Lesar, Tanja and Filip\v{c}i\'{c}, Anita}, year = {2017}, pages = {77-85}, keywords = {PM10 concentrations, sea breeze, MLR model, Split area}, journal = {Na\v{s}e more : znanstveni \v{c}asopis za more i pomorstvo}, volume = {64}, number = {3}, issn = {0469-6255}, title = {Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area}, keyword = {PM10 concentrations, sea breeze, MLR model, Split area} }
@article{article, author = {Tro\v{s}i\'{c} Lesar, Tanja and Filip\v{c}i\'{c}, Anita}, year = {2017}, pages = {77-85}, keywords = {PM10 concentrations, sea breeze, MLR model, Split area}, journal = {Na\v{s}e more : znanstveni \v{c}asopis za more i pomorstvo}, volume = {64}, number = {3}, issn = {0469-6255}, title = {Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area}, keyword = {PM10 concentrations, sea breeze, MLR model, Split area} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • Compendex (EI Village)
  • EMBASE (Excerpta Medica)
  • Fluidex (Fluid Engineering Abstracts)
  • Geobase
  • World Textiles





Contrast
Increase Font
Decrease Font
Dyslexic Font