[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 …

[HTML][HTML] Application of land use regression model to assess outdoor air pollution exposure: A review

WNFW Azmi, TR Pillai, MT Latif, S Koshy… - Environmental …, 2023 - Elsevier
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 …

Does renewable energy technological innovation control China's air pollution? A spatial analysis

Y Zhu, Z Wang, J Yang, L Zhu - Journal of Cleaner Production, 2020 - Elsevier
China's rapid industrialization has led to severe air pollution, which has attracted
considerable attention from academia and media. To achieve cleaner production, the …

Spatio-temporal prediction and factor identification of urban air quality using support vector machine

CC Liu, TC Lin, KY Yuan, PT Chiueh - Urban Climate, 2022 - Elsevier
Accurate air quality prediction can provide better supervision and reference for management
policies. Due to difficulties in data acquisition, combined spatio-temporal prediction is still …

Assessment of remote sensing data to model PM10 estimation in cities with a low number of air quality stations: a case of study in Quito, Ecuador

CI Alvarez-Mendoza, AC Teodoro, N Torres, V Vivanco - Environments, 2019 - mdpi.com
The monitoring of air pollutant concentration within cities is crucial for environment
management and public health policies in order to promote sustainable cities. In this study …

Application of land-use regression model with regularization algorithm to assess PM2. 5 and PM10 concentration and health risk in Kolkata Metropolitan

K Das, ND Chatterjee, D Jana, RK Bhattacharya - Urban Climate, 2023 - Elsevier
Present research aimed to develop monthly and annual land-use regression (LUR) model
for simulation of particulate matter (PM) concentration using conventional linear regression …

[HTML][HTML] Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads

Y Shen, K de Hoogh, O Schmitz, J Gulliver… - Atmospheric …, 2024 - Elsevier
Road traffic is an important source of noise and air pollution. Modelling of air pollution and
noise therefore requires detailed information on annual average daily traffic (AADT) flows on …

Estimating historical SO2 level across the whole China during 1973–2014 using random forest model

R Li, L Cui, J Liang, Y Zhao, Z Zhang, H Fu - Chemosphere, 2020 - Elsevier
Ambient SO 2 pollution poses a great threat on air quality, human health, and ecosystem
safety. The ground-level SO 2 monitoring sites over China have been established during the …

Integrating meteorological factors for better understanding of the urban form-air quality relationship

Y Tian, XA Yao, L Mu, Q Fan, Y Liu - Landscape Ecology, 2020 - Springer
Context Understanding the urban form-air quality relationship is essential to mitigate intra-
urban air pollution and to improve urban ecology. However, few studies considered urban …

[HTML][HTML] Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining

S Schmidt, J Kinne, S Lautenbach, T Blaschke… - Science of The Total …, 2022 - Elsevier
This study deals with the issue of greenwashing, ie the false portrayal of companies as
environmentally friendly. The analysis focuses on the US metal industry, which is a major …