Improving air quality through urban form optimization: A review study
S Li, B Zou, X Ma, N Liu, Z Zhang, M Xie, L Zhi - Building and Environment, 2023 - Elsevier
Air pollution is a significant global environmental issue. Nevertheless, the importance of
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …
[HTML][HTML] Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review
ABSTRACT Background & Objective The use of machine learning for air pollution modelling
is rapidly increasing. We conducted a systematic review of studies comparing statistical and …
is rapidly increasing. We conducted a systematic review of studies comparing statistical and …
National Land Use Regression Model for NO2 Using Street View Imagery and Satellite Observations
Land use regression (LUR) models are widely applied to estimate intra-urban air pollution
concentrations. National-scale LURs typically employ predictors from multiple curated …
concentrations. National-scale LURs typically employ predictors from multiple curated …
An ensemble mixed spatial model in estimating long-term and diurnal variations of PM2. 5 in Taiwan
Meteorology, human activities, and other emission sources drive diurnal cyclic patterns of air
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …
Estimating the daily average concentration variations of PCDD/Fs in Taiwan using a novel Geo-AI based ensemble mixed spatial model
It is generally established that PCDD/Fs is harmful to human health and therefore extensive
field research is necessary. This study is the first to use a novel geospatial-artificial …
field research is necessary. This study is the first to use a novel geospatial-artificial …
A Geo-AI-based ensemble mixed spatial prediction model with fine spatial-temporal resolution for estimating daytime/nighttime/daily average ozone concentrations …
High levels of ground level ozone (O 3) are associated with detrimental health concerns.
Most of the studies only focused on daily average and daytime trends due to the presence of …
Most of the studies only focused on daily average and daytime trends due to the presence of …
[HTML][HTML] Yearly change in air pollution and brain aging among older adults: A community-based study in Taiwan
Background Air pollution is recognized as a modifiable risk factor for dementia, and recent
evidence suggests that improving air quality could attenuate cognitive decline and reduce …
evidence suggests that improving air quality could attenuate cognitive decline and reduce …
Capturing exposure disparities with chemical transport models: evaluating the suitability of downscaling using land use regression
High resolution exposure surfaces are essential to capture disparities in exposure to traffic-
related air pollution in urban areas. In this study, we develop an approach to downscale …
related air pollution in urban areas. In this study, we develop an approach to downscale …
Assessment of NO2 population exposure from 2005 to 2020 in China
Z Huang, X Xu, M Ma, J Shen - Environmental Science and Pollution …, 2022 - Springer
Nitrogen dioxide (NO2) is a major air pollutant with serious environmental and human health
impacts. A random forest model was developed to estimate ground-level NO2 …
impacts. A random forest model was developed to estimate ground-level NO2 …
Spatial and temporal urban air pollution patterns based on limited data of monitoring stations
Urban air pollution is one of the serious environmental problems in the development of high-
density cities, especially for traffic-related pollution. Effective urban environmental …
density cities, especially for traffic-related pollution. Effective urban environmental …