Comparison of methods for assessment of children exposure to air pollution: dispersion model, ambient monitoring, and personal samplers

Air pollution dispersion modelling via spatial analyses (Land Use Regression—LUR) is an alternative approach to the standard air pollution dispersion modelling techniques in air quality assessment. Its advantages are mainly a much simpler mathematical apparatus, quicker and simpler calculations and a possibility to incorporate more factors affecting pollutant’s concentration than standard dispersion models. The goal of the study was to model the PM10 particles dispersion via spatial analyses in the Czech–Polish border area of the Upper Silesian industrial agglomeration and compare the results with the results of the standard Gaussian dispersion model SYMOS’97. The 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 were included in the LUR model, the LUR model results improved significantly (65% determination coefficient) to a level comparable with the Gaussian model. A hybrid approach of combining the Gaussian model with the LUR gives superior quality of results (86% determination coefficient).

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An air-pollution dispersion model for long-range policy analysis

Ecological Modelling ◽

10.1016/0304-3800(80)90011-3 ◽

1980 ◽

Vol 9 ◽

pp. 121-141 ◽

Cited By ~ 3

Author(s):

Robin L. Dennis

Keyword(s):

Air Pollution ◽

Policy Analysis ◽

Long Range ◽

Dispersion Model ◽

Pollution Dispersion ◽

Air Pollution Dispersion

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Air Pollution Dispersion Modelling Using Spatial Analyses

10.20944/preprints201810.0159.v1 ◽

2018 ◽

Author(s):

Jan Bitta ◽

Vladislav Svozilík ◽

Irena Pavlíková ◽

Petr Jančík

Keyword(s):

Air Pollution ◽

Dispersion Model ◽

Hybrid Approach ◽

Gaussian Model ◽

Dispersion Modelling ◽

Spatial Analyses ◽

Pollution Dispersion ◽

Determination Coefficient ◽

Air Pollution Dispersion ◽

Pollution Dispersion Modelling

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).

Download Full-text