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Air Pollution Dispersion Modelling Using Spatial Analyses

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Air Pollution Dispersion Modelling Using Spatial Analyses

  • Original language description

    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&apos;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&apos;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).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20700 - Environmental engineering

Result continuities

  • Project

    <a href="/en/project/LO1208" target="_blank" >LO1208: Theoretical aspects of Energetic treatment of Waste and Environment Protection against negative impacts</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ISPRS International Journal of Geo-Information

  • ISSN

    2220-9964

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    000455392100037

  • EID of the result in the Scopus database