[HTML][HTML] Local integrated air quality predictions from meteorology (2015 to 2020) with machine and deep learning assisted by data mining

DA Wood - Sustainability Analytics and Modeling, 2022 - Elsevier
Overall air quality local indices can usefully be established by combining normalised values
of common individual pollutant values. This reveals distinctive seasonal trends that are …

Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model

ASAEA Moursi, N El-Fishawy, S Djahel, MA Shouman - Sensors, 2022 - mdpi.com
In a world where humanity's interests come first, the environment is flooded with pollutants
produced by humans' urgent need for expansion. Air pollution and climate change are side …

Quantifying climate variation and associated regional air pollution in southern India using Google Earth Engine

R Ayyamperumal, A Banerjee, Z Zhang, N Nazir… - Science of The Total …, 2024 - Elsevier
Climate change and regional air pollution have had significant proportional coherence and
are collectively hazardous for the regional ecosystem. To conduct this present investigation …

Trend decomposition aids forecasts of air particulate matter (PM2. 5) assisted by machine and deep learning without recourse to exogenous data

DA Wood - Atmospheric Pollution Research, 2022 - Elsevier
A near-past, trend-attribute extraction technique is proposed for short-term hourly particulate
matter (PM2. 5) forecasting. Multiple attributes are extracted from the univariate PM2. 5 time …

Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm

V Balamurugan, V Balamurugan, J Chen - Scientific reports, 2022 - nature.com
Surface ozone (O 3) is primarily formed through complex photo-chemical reactions in the
atmosphere, which are non-linearly dependent on precursors. Even though, there have …

A machine learning approach to investigate the build-up of surface ozone in Mexico-City

M Ahmad, B Rappenglück, OO Osibanjo… - Journal of Cleaner …, 2022 - Elsevier
Ground-level ozone is an important pollutant regarding air quality and climate. Mexico City
frequently experiences severe ozone episodes due to a combination of strong ozone …

Spatio-temporal modelling of particulate matter concentrations using satellite derived aerosol optical depth over coastal region of Chennai in India

L Raju, R Gandhimathi, A Mathew, ST Ramesh - Ecological Informatics, 2022 - Elsevier
The present study primarily focuses on describing aerosol optical depth (AOD), its
distribution pattern and seasonal variation, and modelling Particulate Matter Concentrations …

Deep learning framework-based chaotic hunger games search optimization algorithm for prediction of air quality index

H Macherla, G Kotapati, MT Sunitha… - … des Systemes d' …, 2023 - search.proquest.com
In many ways, our everyday lives depend on having access to reliable data about the state
of the air around us. If you can predict the air quality ahead of time, you can put in place the …

Air quality index prediction via multi-task machine learning technique: spatial analysis for human capital and intensive air quality monitoring stations

X Xiang, S Fahad, MS Han, MR Naeem… - Air Quality, Atmosphere & …, 2023 - Springer
Air, an essential natural resource, has been compromised in terms of quality by economic
activities. Air pollution has become a critical environmental issue in recent decades …

Exploring the effect of waterbodies coupled with other environmental parameters to model PM2. 5 over Delhi-NCT in northwest India

BK Gayen, D Dutta, P Acharya, S Sreekesh… - Atmospheric Pollution …, 2022 - Elsevier
The problem of air pollution, especially, the concentration of PM 2.5 is a long-standing issue
over the national capital territory of India (Delhi-NCT). This study seeks to explore the effect …