Estimation of exposure to fine particulate air pollution using GIS-based modeling approach in an urban area in Tehran

Memarianfard, M.; Mostafa Hatami, A.; Memarianfard, M.; Ajam, M.

doi:10.22034/ijhcum.2016.04.007

Document Type : CASE STUDY

Authors

Khaje Nasir Toosi University of Technology, Department of Civil Engineering, Tehran, Iran

https://doi.org/10.22034/ijhcum.2016.04.007

Abstract

In many industrialized areas, the highest concentration of particulate matter, as a major concern on public health, is being felt worldwide problem. Since the air pollution assessment and its evaluation with considering spatial dispersion analysis because of various factors are complex, in this paper, GIS-based modeling approach was utilized to zoning PM_2.5dispersion over Tehran, during one year, from 21 March 2014 to 20 March 2015. The RBF method was applied to obtain the zoning maps and determining the highest concentration of PM_2.5in the 22 Tehran’s regions for each season. The RMSE_min values according to the number of neighbors and types of functions in the radial basis function method, including completely regularized spline, Spline with tension, Multiquadric function, Inverse multiquadric function, and Thin-plate spline for each month have been assessed. By performing analysis on the errors, the numbers of neighbors were estimated. The numbers of neighbors in the model for each function were varied from 2 to 30. The results indicate that the models with 3 and 4 neighbors have the best performance with the lowest RMSE values with using RBF method. The highest PM_2.5concentrations have been occurred in the summer and winter especially at the center, south, and in some cases at northeast of the city.

Highlights

PM_2.5 spatial prediction has been estimated across 22 Tehran’s regions.
The GIS approach was utilized for distribution modeling.
The RMSE_min values according to the number of neighbors and types of functions including CRS, SWT, MF, IMF, and TPS in RBF method have been assessed.
The highest PM_2.5 concentrations have been carried out during a certain period of times.

Keywords

Air pollution

Completely regularized spline (CRS)

Inverse multiquadric function (IMF)

Multiquadric function (MF)

PM2.5 concentrations

Radial basis function (RBF) method

RMSEmin

Spline with tension (SWT)

Tehran's regions

Thin-plate spline (TPS)

Main Subjects

Urban health, safety and environment (HSE)

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International Journal of Human Capital in Urban Management

Estimation of exposure to fine particulate air pollution using GIS-based modeling approach in an urban area in Tehran

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Volume 1, Issue 4
October 2016
Pages 295-300

Estimation of exposure to fine particulate air pollution using GIS-based modeling approach in an urban area in Tehran

References

References

Send comment about this article

Volume 1, Issue 4October 2016Pages 295-300

Volume 1, Issue 4
October 2016
Pages 295-300