[HTML][HTML] Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
H Tao, AH Jawad, AH Shather, Z Al-Khafaji… - Environment …, 2023 - Elsevier
This study uses machine learning (ML) models for a high-resolution prediction (0.1°× 0.1°) of
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
Spatiotemporal evolution of the remotely sensed global continental PM2. 5 concentration from 2000-2014 based on Bayesian statistics
PM 2.5 pollution is threatening human health and quality of life, especially in some densely
populated regions of Asia and Africa. This paper used remotely sensed annual mean PM 2.5 …
populated regions of Asia and Africa. This paper used remotely sensed annual mean PM 2.5 …