The driving factors of air quality index in China
D Zhan, MP Kwan, W Zhang, X Yu, B Meng… - Journal of Cleaner …, 2018 - Elsevier
In recent years, serious air pollution episodes in China have received increasing academic
attention due to their adverse impacts. Drawing on Air Quality Index data in 2015 across 338 …
attention due to their adverse impacts. Drawing on Air Quality Index data in 2015 across 338 …
[HTML][HTML] Application of land use regression model to assess outdoor air pollution exposure: A review
In this study, we reviewed the application of land use regression (LUR) models in various
regions worldwide to provide insight into approaches utilized for LUR models. We also …
regions worldwide to provide insight into approaches utilized for LUR models. We also …
Using a land use regression model with machine learning to estimate ground level PM2. 5
Ambient fine particulate matter (PM 2.5) has been ranked as the sixth leading risk factor
globally for death and disability. Modelling methods based on having access to a limited …
globally for death and disability. Modelling methods based on having access to a limited …
Influence of land cover change on spatio-temporal distribution of urban heat island—a case in Wuhan main urban area
H Chen, Q Deng, Z Zhou, Z Ren, X Shan - Sustainable Cities and Society, 2022 - Elsevier
In this study, the relationship between land cover (LC) characteristics and urban heat island
(UHI) intensity in the main urban area of Wuhan City are investigated. The effects of LC …
(UHI) intensity in the main urban area of Wuhan City are investigated. The effects of LC …
Spatio-temporal modeling of PM2. 5 risk mapping using three machine learning algorithms
Urban air pollution is one of the most critical issues that affect the environment, community
health, economy, and management of urban areas. From a public health perspective, PM …
health, economy, and management of urban areas. From a public health perspective, PM …
National PM2. 5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging
Outdoor air pollution is a major killer worldwide and the fourth largest contributor to the
burden of disease in China. China is the most populous country in the world and also has …
burden of disease in China. China is the most populous country in the world and also has …
A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …
when coupled with spatial interpolation of ambient pollutant measurements, may provide …
National scale spatiotemporal land-use regression model for PM2. 5, PM10 and NO2 concentration in China
Background Air pollution epidemiological studies increasingly rely on high-resolution
exposure prediction models. However, to date, few models of this type exist for use in China …
exposure prediction models. However, to date, few models of this type exist for use in China …
Spatial variations of PM2. 5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective
Abstract Fine particulate matter (PM 2.5) concentrations are mainly influenced by human
activities and natural conditions, yet how these impacts are driven under these two …
activities and natural conditions, yet how these impacts are driven under these two …
[HTML][HTML] Estimating PM2. 5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China
P Zhang, W Ma, F Wen, L Liu, L Yang, J Song… - Ecotoxicology and …, 2021 - Elsevier
With rapid economic growth, urbanization and industrialization, fine particulate matter with
aerodynamic diameters≤ 2.5 µm (PM 2.5) has become a major pollutant and shows …
aerodynamic diameters≤ 2.5 µm (PM 2.5) has become a major pollutant and shows …