[HTML][HTML] Multi-scale atmospheric emissions, circulation and meteorological drivers of ozone episodes in El Paso-Juárez airshed

NN Karle, RM Fitzgerald, RK Sakai, DW Sullivan… - Atmosphere, 2021 - mdpi.com
Ozone pollution has been prevalent in the El Paso-Juárez Airshed (EPJA), especially in the
past few decades, and it has been on the rise recently. The spatial and temporal distribution …

Implementing Machine Learning Algorithms to Predict Particulate Matter (PM2.5): A Case Study in the Paso del Norte Region

S Mahmud, TBI Ridi, MS Miah, F Sarower, S Elahee - Atmosphere, 2022 - mdpi.com
This work focuses on the prediction of an air pollutant called particulate matter (PM 2.5)
across the Paso Del Norte region. Outdoor air pollution causes millions of premature deaths …

Machine learning techniques applied to predict tropospheric ozone in a semi-arid climate region

MAM Bhuiyan, RK Sahi, MR Islam, S Mahmud - Mathematics, 2021 - mdpi.com
In the last decade, ground-level ozone exposure has led to a significant increase in
environmental and health risks. Thus, it is essential to measure and monitor atmospheric …

Optical Measurements of Particulate Matter in the El Paso–Juárez Region: Natural Mineral Dust and Soot

RM Fitzgerald, NN Karle, P Lara, J Polanco… - 2021 - repository.library.noaa.gov
Particulate matter in desert cities contains significant amounts of mineral dust and soot. Both
have large components that may be considered as natural emissions because mineral dust …

[PDF][PDF] Machine Learning Techniques Applied to Predict Tropospheric Ozone in a Semi-Arid Climate Region. Mathematics 2021, 9, 2901

MAM Bhuiyan, RK Sahi, MR Islam… - … Modelling and Machine …, 2021 - academia.edu
In the last decade, ground-level ozone exposure has led to a significant increase in
environmental and health risks. Thus, it is essential to measure and monitor atmospheric …