[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 …
[HTML][HTML] Validation of CFD models of urban microclimates under high temperature and humidity conditions during daytime heatwaves in dense low-rise areas
G Kim, G Lee - Building and Environment, 2024 - Elsevier
In the midst of the ongoing climate crisis, there is a growing need to study the effects of
climate on humans, especially those of the microclimates that surround humans and their …
climate on humans, especially those of the microclimates that surround humans and their …
Spatio-temporal prediction of ground-level ozone concentration based on Bayesian maximum entropy by combining monitoring and satellite data
S Xu, C Cui, M Shan, Y Liu, Z Qiao, L Chen, Z Ma… - Atmosphere, 2022 - mdpi.com
Ozone (O3) pollution is one of the predominant environmental problems, and exposure to
high O3 concentrations has a significant negative influence on both human health and …
high O3 concentrations has a significant negative influence on both human health and …
Mapping the Spatiotemporal Variability of Particulate Matter Pollution in Delhi: Insights from Land Use Regression Modelling
This study investigates the spatiotemporal dynamics of pollutant concentrations in Delhi
through the utilization of land use regression models. Analysis of data for year 2019 from 38 …
through the utilization of land use regression models. Analysis of data for year 2019 from 38 …