Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq

Huda Jumaah; Khalil Valizadeh Kamran; Abolfazl Ghanbari; Mehrdad Jeihouni

doi:10.26833/ijeg.1710723

Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq

Abstract

Urban environmental health depends heavily on air quality because it directly affects ecosystem sustainability, together with resident health outcomes. The rapid urbanization of Kirkuk in Iraq produces important air pollution problems, which stem from growing vehicle pollution combined with industrial sources and insufficient urban planning. The present paper aims to develop a Geographic Information Systems (GIS)-based model. It’s a novel concept to develop advanced pollutant dispersion models by integrating air pollutants with meteorology and ArcGIS Pro analysis. The importance of this study is that it proposes the GIS-based Box Model to precisely forecast air pollution in fast-growing urban centers such as Kirkuk. It is used to support the concept of sustainable urban planning and can easily connect the air quality data to health scopes, and provides good validation accuracies based on the ground data that it uses. The evaluation based on health effects linked to poor air quality will be performed. The research utilized a spatial distribution map algorithm in ArcGIS Pro with Python programming syntax to process elevation data and weather elements and create predictions about pollution concentrations in affected territories. The study showed that the model produced sufficient results throughout the (80-90%) measurement range. The validation process used ground truth data that achieved measurements with a (90-93%) success. Two pollutants, PM2.5 and PM10, were used in model testing validation analysis; the estimated values by the model were compared with ground truth data. Measurements provided an excellent validation of model-calculated air quality measurements with their corresponding ground truth points, thus showing high potential for accurate air quality monitoring and prediction.

Keywords

References

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Details

Primary Language

English

Subjects

Geospatial Information Systems and Geospatial Data Modelling, Photogrammetry and Remote Sensing, Geographical Information Systems (GIS) in Planning

Journal Section

Research Article

Authors

Huda Jumaah
0000-0002-3438-3033
Iraq

Khalil Valizadeh Kamran ^*
0000-0003-4648-842X
Iran

Abolfazl Ghanbari
0000-0002-0145-0279
Iran

Mehrdad Jeihouni
0000-0002-8710-6793
Iran

Early Pub Date

August 25, 2025

Publication Date

October 1, 2025

Submission Date

May 31, 2025

Acceptance Date

July 5, 2025

Published in Issue

Year 2026 Volume: 11 Number: 1

DOI

https://doi.org/10.26833/ijeg.1710723

IZ

https://izlik.org/JA76AY33CC

Cite

RIS / Bibtex

APA

Jumaah, H., Valizadeh Kamran, K., Ghanbari, A., & Jeihouni, M. (2025). Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq. International Journal of Engineering and Geosciences, 11(1), 212-225. https://doi.org/10.26833/ijeg.1710723

AMA

1.Jumaah H, Valizadeh Kamran K, Ghanbari A, Jeihouni M. Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq. IJEG. 2025;11(1):212-225. doi:10.26833/ijeg.1710723

Chicago

Jumaah, Huda, Khalil Valizadeh Kamran, Abolfazl Ghanbari, and Mehrdad Jeihouni. 2025. “Development of GIS-Based Box Model Tool for Air Quality Mapping With Python and ArcGIS Pro in Kirkuk City, Iraq”. International Journal of Engineering and Geosciences 11 (1): 212-25. https://doi.org/10.26833/ijeg.1710723.

EndNote

Jumaah H, Valizadeh Kamran K, Ghanbari A, Jeihouni M (October 1, 2025) Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq. International Journal of Engineering and Geosciences 11 1 212–225.

IEEE

[1]H. Jumaah, K. Valizadeh Kamran, A. Ghanbari, and M. Jeihouni, “Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq”, IJEG, vol. 11, no. 1, pp. 212–225, Oct. 2025, doi: 10.26833/ijeg.1710723.

ISNAD

Jumaah, Huda - Valizadeh Kamran, Khalil - Ghanbari, Abolfazl - Jeihouni, Mehrdad. “Development of GIS-Based Box Model Tool for Air Quality Mapping With Python and ArcGIS Pro in Kirkuk City, Iraq”. International Journal of Engineering and Geosciences 11/1 (October 1, 2025): 212-225. https://doi.org/10.26833/ijeg.1710723.

JAMA

1.Jumaah H, Valizadeh Kamran K, Ghanbari A, Jeihouni M. Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq. IJEG. 2025;11:212–225.

MLA

Jumaah, Huda, et al. “Development of GIS-Based Box Model Tool for Air Quality Mapping With Python and ArcGIS Pro in Kirkuk City, Iraq”. International Journal of Engineering and Geosciences, vol. 11, no. 1, Oct. 2025, pp. 212-25, doi:10.26833/ijeg.1710723.

Vancouver

1.Huda Jumaah, Khalil Valizadeh Kamran, Abolfazl Ghanbari, Mehrdad Jeihouni. Development of GIS-based Box Model Tool for Air Quality Mapping with Python and ArcGIS Pro in Kirkuk City, Iraq. IJEG. 2025 Oct. 1;11(1):212-25. doi:10.26833/ijeg.1710723

Cited By

Assessment of Traffic-Related Air Pollution in Kirkuk City, Iraq Using Python-Based AERMOD and GIS

Engineering, Technology & Applied Science Research

https://doi.org/10.48084/etasr.16563

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Geomatik

https://doi.org/10.29128/geomatik.1908895