[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects
Traditional ground-based air sampling measurements of air quality have blind monitoring
areas in the junctions between provinces, cities and urban and rural areas, and they lack the …
areas in the junctions between provinces, cities and urban and rural areas, and they lack the …
The High-Resolution Rapid Refresh (HRRR): An hourly updating convection-allowing forecast model. Part I: Motivation and system description
DC Dowell, CR Alexander, EP James… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and …
implementation of the Advanced Research version of the Weather Research and …
[HTML][HTML] Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign
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 …
negative effects on human health and plants. Existing O 3 datasets with coarse …
PM2. 5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Abstract Particulate matter (PM 2.5) concentration is an air pollutant that can lead to serious
health complications in humans. The detection of this air pollutant is essential so that …
health complications in humans. The detection of this air pollutant is essential so that …
Investigating and mapping day-night urban heat island and its driving factors using Sentinel/MODIS data and Google Earth Engine. Case study: greater Cairo, Egypt
RM Abou Samra - Urban Climate, 2023 - Elsevier
Urban heat islands (UHI) represent one of the substantial human-induced challenges
endangering urban livelihoods. UHI and climate change have significant interactions …
endangering urban livelihoods. UHI and climate change have significant interactions …
Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data
In recent years, near-surface ozone (O 3) pollution has been increasing, seriously
endangering both the ecological environment and human health. Accurately monitoring …
endangering both the ecological environment and human health. Accurately monitoring …
Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China
Environmental exposure to surface ozone (O 3) has become a major public health concern.
To accurately estimate the spatial-coverage O 3 from sparse ground-truth data, we here …
To accurately estimate the spatial-coverage O 3 from sparse ground-truth data, we here …
A review of machine learning for modeling air quality: Overlooked but important issues
D Tang, Y Zhan, F Yang - Atmospheric Research, 2024 - Elsevier
Abstract Machine learning models based on satellite remote sensing have gained
widespread use in estimating ground-level air pollutant concentrations, which overcome the …
widespread use in estimating ground-level air pollutant concentrations, which overcome the …
Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020
Smoke from wildfires poses a substantial threat to health in communities near and far. To
mitigate the extent and potential damage of wildfires, prescribed burning techniques are …
mitigate the extent and potential damage of wildfires, prescribed burning techniques are …