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[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 ** sky, tree, and building view factors of street canyons in a high-density urban environment
View factors for sky, trees, and buildings are three important parameters of the urban
outdoor environment that describe the geometrical relationship between different surfaces …
outdoor environment that describe the geometrical relationship between different surfaces …
The characteristics and drivers of fine particulate matter (PM2. 5) distribution in China
The frequent occurrence of extreme haze episodes in China in recent years has triggered
the Chinese government to take action to tackle the serious air quality problems. Fine …
the Chinese government to take action to tackle the serious air quality problems. Fine …
[HTML][HTML] Map** urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea
Recent studies have demonstrated that mobile sampling can improve the spatial granularity
of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (< …
of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (< …
[HTML][HTML] A review of urban air pollution monitoring and exposure assessment methods
The impact of urban air pollution on the environments and human health has drawn
increasing concerns from researchers, policymakers and citizens. To reduce the negative …
increasing concerns from researchers, policymakers and citizens. To reduce the negative …
Advancing environmental exposure assessment science to benefit society
Awareness of the human health impacts of exposure to air pollution is growing rapidly. For
example, it has become evident that the adverse health effects of air pollution are more …
example, it has become evident that the adverse health effects of air pollution are more …
Evaluating the seasonal effects of building form and street view indicators on street-level land surface temperature using random forest regression
K Chen, M Tian, J Zhang, X Xu, L Yuan - Building and Environment, 2023 - Elsevier
Current studies of the influence of urban morphology indicators on land surface temperature
(LST) usually focus on administrative or grid-based research units, and the limited inclusion …
(LST) usually focus on administrative or grid-based research units, and the limited inclusion …
Land use regression modelling of air pollution in high density high rise cities: A case study in Hong Kong
Land use regression (LUR) is a common method of predicting spatial variability of air
pollution to estimate exposure. Nitrogen dioxide (NO 2), nitric oxide (NO), fine particulate …
pollution to estimate exposure. Nitrogen dioxide (NO 2), nitric oxide (NO), fine particulate …
Deep-AIR: A hybrid CNN-LSTM framework for fine-grained air pollution estimation and forecast in metropolitan cities
Air pollution presents a serious health challenge in urban metropolises. While accurately
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …