Assessing the impact of Kirkuk Cement Plant emissions on land cover by modelling Gaussian Plume with Python and QGIS

This research uses the Python language to model the Gaussian Plume equation in Quantum Geographic Information System (QGIS) to estimate the contaminants released from the cement plant. Spline interpolation and the maximum likelihood (ML) classification process are used to extract wind speeds and lan...

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Main Authors: Mahmood Ajaj, Qayssar, Shafri, Helmi Zulhaidi Mohd, Wayayok, Aimrun, Firuz Ramli, Mohammad
格式: Article
出版: Elsevier 2023
在線閱讀:http://psasir.upm.edu.my/id/eprint/106727/
https://www.sciencedirect.com/science/article/pii/S1110982322001132
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