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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/106727/ https://www.sciencedirect.com/science/article/pii/S1110982322001132 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|