Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective

A Kaginalkar, S Kumar, P Gargava, D Niyogi - Urban Climate, 2021 - Elsevier
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …

Selecting data analytic and modeling methods to support air pollution and environmental justice investigations: A critical review and guidance framework

R Gardner-Frolick, D Boyd, A Giang - Environmental Science & …, 2022 - ACS Publications
Given the serious adverse health effects associated with many pollutants, and the
inequitable distribution of these effects between socioeconomic groups, air pollution is often …

[HTML][HTML] Air-pollution prediction in smart city, deep learning approach

A Bekkar, B Hssina, S Douzi, K Douzi - Journal of big Data, 2021 - Springer
Over the past few decades, due to human activities, industrialization, and urbanization, air
pollution has become a life-threatening factor in many countries around the world. Among …

PM2. 5 volatility prediction by XGBoost-MLP based on GARCH models

H Dai, G Huang, H Zeng, F Zhou - Journal of cleaner production, 2022 - Elsevier
In recent, air pollution has a sever impact on public health and economy development
throughout the world. Air pollution consists of a variety of harming components, of which fine …

[HTML][HTML] Short-term prediction of particulate matter (PM10 and PM2. 5) in Seoul, South Korea using tree-based machine learning algorithms

BY Kim, YK Lim, JW Cha - Atmospheric Pollution Research, 2022 - Elsevier
In this study, highly accurate particulate matter (PM 10 and PM 2.5) predictions were
obtained using meteorological prediction data from the local data assimilation and …

[HTML][HTML] A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000–2019): Applications for Air Quality Management

S Dey, B Purohit, P Balyan, K Dixit, K Bali, A Kumar… - Remote Sensing, 2020 - mdpi.com
Fine particulate matter (PM2. 5) is a major criteria pollutant affecting the environment, health
and climate. In India where ground-based measurements of PM2. 5 is scarce, it is important …

[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 …

[HTML][HTML] A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain

R Schneider, AM Vicedo-Cabrera, F Sera, P Masselot… - Remote sensing, 2020 - mdpi.com
Epidemiological studies on the health effects of air pollution usually rely on measurements
from fixed ground monitors, which provide limited spatio-temporal coverage. Data from …

[HTML][HTML] A Review of Global PM2.5 Exposure Research Trends from 1992 to 2022

N Jia, Y Li, R Chen, H Yang - Sustainability, 2023 - mdpi.com
Exposure to air pollutants of fine particulate matter (PM2. 5) is a major threat to human
health. Research on PM2. 5 exposure has been on the rise in recent years, but there has …

Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand

P Wongnakae, P Chitchum, R Sripramong… - … Science and Pollution …, 2023 - Springer
Numerous epidemiological studies have shown that particulate matter with aerodynamic
diameter up to 2.5 μm (PM2. 5) is associated with many health consequences, where PM2. 5 …