Air Pollution Dispersion Modelling Using Spatial Analyses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27710%2F18%3A10241011" target="_blank" >RIV/61989100:27710/18:10241011 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.preprints.org/manuscript/201810.0159/v1" target="_blank" >https://www.preprints.org/manuscript/201810.0159/v1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi7120489" target="_blank" >10.3390/ijgi7120489</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Air Pollution Dispersion Modelling Using Spatial Analyses
Popis výsledku v původním jazyce
Abstract: The air pollution dispersion modelling via spatial analyses (Land Use Regression - LUR) is an alternative approach to the air quality assessment to the standard air pollution dispersion modelling techniques. Its advantages are mainly much simpler mathematical apparatus, quicker and simpler calculations and a possibility to incorporate other factors affecting pollutant's concentration. The goal of the study was to model the PM10 particles dispersion modelling via spatial analyses v in Czech-Polish border area of Upper Silesian industrial agglomeration and compare results with results of the standard Gaussian dispersion model SYMOS'97. Results show that standard Gaussian model with the same data as the LUR model gives better results (determination coefficient 71% for Gaussian model to 48% for LUR model). When factors of the land cover and were included into the LUR model, the LUR model results were significantly improved (65% determination coefficient) to the level comparable with Gaussian model. The hybrid approach combining the Gaussian model with the LUR gives superior quality of results (65% determination coefficient).
Název v anglickém jazyce
Air Pollution Dispersion Modelling Using Spatial Analyses
Popis výsledku anglicky
Abstract: The air pollution dispersion modelling via spatial analyses (Land Use Regression - LUR) is an alternative approach to the air quality assessment to the standard air pollution dispersion modelling techniques. Its advantages are mainly much simpler mathematical apparatus, quicker and simpler calculations and a possibility to incorporate other factors affecting pollutant's concentration. The goal of the study was to model the PM10 particles dispersion modelling via spatial analyses v in Czech-Polish border area of Upper Silesian industrial agglomeration and compare results with results of the standard Gaussian dispersion model SYMOS'97. Results show that standard Gaussian model with the same data as the LUR model gives better results (determination coefficient 71% for Gaussian model to 48% for LUR model). When factors of the land cover and were included into the LUR model, the LUR model results were significantly improved (65% determination coefficient) to the level comparable with Gaussian model. The hybrid approach combining the Gaussian model with the LUR gives superior quality of results (65% determination coefficient).
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20700 - Environmental engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1208" target="_blank" >LO1208: Teoretické aspekty energetického zpracování odpadů a ochrany prostředí před negativními dopady</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ISPRS International Journal of Geo-Information
ISSN
2220-9964
e-ISSN
—
Svazek periodika
7
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
12
Strana od-do
1-12
Kód UT WoS článku
000455392100037
EID výsledku v databázi Scopus
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