| Issue |
E3S Web Conf.
Volume 633, 2025
International Forum of Global Advances in Sustainable Environment, Energy, and Earth Sciences (GASES 2025)
|
|
|---|---|---|
| Article Number | 07008 | |
| Number of page(s) | 6 | |
| Section | Geography and Spatial Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202563307008 | |
| Published online | 04 June 2025 | |
Evaluating of spatial interpolation techniques for accurate air quality prediction: An overview
Middle Technical University, Engineering Technical College- Baghdad, Department of Surveying, Baghdad, Iraq
* Corresponding author: ACC4007@mtu.edu.iq
Air pollution is a primary environmental concent in modern society. It threatens human health, ecological balance, and climate stability. The leading causes of air pollution include urban growth, industrial activities since the Industrial Revolution, fossil fuel emissions, motor vehicle traffic, inferior fuels, and power plants. This study reviews existing research aimed at assessing air quality by using Geographic Information Systems (GIS) methodologies to monitor air quality, which has helped to address air pollution problems. The study found that spatial interpolation techniques in Geographic Information Systems (GIS), specifically the Inverse Distance Weighting (IDW) and Kriging methods, effectively assess air quality by predicting concentrations of various air pollutants, such as SO2, NO2. CO. and PM2.5, in unmonitored regions.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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