Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review

I Gryech, C Asaad, M Ghogho, A Kobbane - Engineering Applications of …, 2024 - Elsevier
Abstract According to the World Health Organization (WHO), air pollution kills seven million
people every year. Outdoor air pollution is a major environmental health problem affecting …

[HTML][HTML] Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign

B Guo, H Wu, L Pei, X Zhu, D Zhang, Y Wang… - Environment …, 2022 - Elsevier
Abstract Surface ozone (O 3), one of the harmful air pollutants, generated significantly
negative effects on human health and plants. Existing O 3 datasets with coarse …

The impact of COVID-19 lockdowns on surface urban heat island changes and air-quality improvements across 21 major cities in the Middle East

AM El Kenawy, JI Lopez-Moreno, MF McCabe… - Environmental …, 2021 - Elsevier
This study investigates changes in air quality conditions during the restricted COVID-19
lockdown period in 2020 across 21 metropolitan areas in the Middle East and how these …

A review about COVID-19 in the MENA region: environmental concerns and machine learning applications

H Meskher, SB Belhaouari, AK Thakur… - … Science and Pollution …, 2022 - Springer
Abstract Coronavirus disease 2019 (COVID-19) has delayed global economic growth, which
has affected the economic life globally. On the one hand, numerous elements in the …

Long-term AOD trend assessment over the Eastern Mediterranean region: A comparative study including a new merged aerosol product

A Shaheen, R Wu, M Aldabash - Atmospheric Environment, 2020 - Elsevier
This study conducts a comprehensive estimation of aerosol optical depth (AOD) trend and a
classification of types of aerosols over the Eastern Mediterranean (EM) region using the …

Seasonal dynamics in land surface temperature in response to land use land cover changes using Google Earth Engine

L Feng, S Hussain, NG Pricope… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Changes in land use and land cover (LULC) are critical for evaluating global spatiotemporal
trends, especially regarding climate change and urbanization. This study investigates the …

Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi

AS Bittner, ES Cross, DH Hagan… - Atmospheric …, 2021 - amt.copernicus.org
Low-cost gas and particulate sensor packages offer a compact, lightweight, and easily
transportable solution to address global gaps in air quality (AQ) observations. However …

A high-performance convolutional neural network for ground-level ozone estimation in eastern China

S Wang, Y Huo, X Mu, P Jiang, S Xun, B He, W Wu… - Remote Sensing, 2022 - mdpi.com
Having a high-quality historical air pollutant dataset is critical for environmental and
epidemiological research. In this study, a novel deep learning model based on convolutional …

Investigating decadal changes of multiple hydrological products and land-cover changes in the Mediterranean Region for 2009–2018

W Li, S Perera, E Linstead, R Thomas… - Earth Systems and …, 2021 - Springer
Land-cover change is a critical concern due to its climatic, ecological, and socioeconomic
consequences. In this study, we used multiple variables including precipitation, vegetation …

Assessment of air quality during worst wildfires in Mugla and Antalya regions of Turkey

S Tariq, Z ul‐Haq, A Mariam, U Mehmood, W Ahmed - Natural Hazards, 2023 - Springer
Recently, a worse and large-scale forest fire broke out across Turkey, which adversely
affected the country's air quality level and caused a tremendous loss. Mugla and Antalya …