[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 …
Monthly global estimates of fine particulate matter and their uncertainty
A Van Donkelaar, MS Hammer, L Bindle… - Environmental …, 2021 - ACS Publications
Annual global satellite-based estimates of fine particulate matter (PM2. 5) are widely relied
upon for air-quality assessment. Here, we develop and apply a methodology for monthly …
upon for air-quality assessment. Here, we develop and apply a methodology for monthly …
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion
Air pollution has altered the Earth's radiation balance, disturbed the ecosystem, and
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion
Developing a big data analytics framework for generating the Long-term Gap-free High-
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
Satellite data are vital for understanding the large-scale spatial distribution of particulate
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
[HTML][HTML] High-resolution modeling for criteria air pollutants and the associated air quality index in a metropolitan city
Abstract The Air Quality Index (AQI), which jointly accounts for levels of criteria air pollutants
relative to their guidelines, is largely reported at the city level. Little is known about the …
relative to their guidelines, is largely reported at the city level. Little is known about the …
Spatiotemporal PM2. 5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree
W He, H Meng, J Han, G Zhou, H Zheng, S Zhang - Chemosphere, 2022 - Elsevier
Abstract Fine particulate matter (PM 2.5) with spatiotemporal continuity can provide
important basis for the assessment of adverse effects on human health. In recent years …
important basis for the assessment of adverse effects on human health. In recent years …
Flexible Bayesian ensemble machine learning framework for predicting local ozone concentrations
3D-grid-based chemical transport models, such as the Community Multiscale Air Quality
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021
China was seriously affected by air pollution in the past decade, especially for particulate
matter (PM) and emerging ozone pollution recently. In this study, we systematically …
matter (PM) and emerging ozone pollution recently. In this study, we systematically …
Spatiotemporal continuous estimates of daily 1 km PM from 2000 to present under the Tracking Air Pollution in China (TAP) framework
High spatial resolution PM 2.5 data covering a long time period are urgently needed to
support population exposure assessment and refined air quality management. In this study …
support population exposure assessment and refined air quality management. In this study …