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

• 主要な著者: Mahmood Ajaj, Qayssar, Shafri, Helmi Zulhaidi Mohd, Wayayok, Aimrun, Firuz Ramli, Mohammad
• フォーマット: 論文
• 出版事項: Elsevier 2023
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/106727/; https://www.sciencedirect.com/science/article/pii/S1110982322001132

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...