[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 …
COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts
This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
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 …
Spatial distribution characteristics of PM2. 5 and PM10 in Xi'an City predicted by land use regression models
Abstract PM 2.5 and PM 10 could increase the risk for cardiovascular and respiratory
diseases in the general public and severely limit the sustainable development in urban …
diseases in the general public and severely limit the sustainable development in urban …
A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda
The application of land use regression (LUR) modeling for estimating air pollution exposure
has been used only rarely in sub-Saharan Africa (SSA). This is generally due to a lack of air …
has been used only rarely in sub-Saharan Africa (SSA). This is generally due to a lack of air …
Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method
Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …
Land use regression model established using Light Gradient Boosting Machine incorporating the WRF/CMAQ model for highly accurate spatiotemporal PM2. 5 …
T Thongthammachart, H Shimadera, S Araki… - Atmospheric …, 2023 - Elsevier
The level of fine particulate matter (PM 2.5) in central Thailand has exceeded the national air
quality standard in the dry season for the years. The limited number of monitoring stations …
quality standard in the dry season for the years. The limited number of monitoring stations …
[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 …
Application of nonlinear land use regression models for ambient air pollutants and air quality index
L Zhang, X Tian, Y Zhao, L Liu, Z Li, L Tao… - Atmospheric Pollution …, 2021 - Elsevier
Air pollution is a major global environmental problem that affects health. In view of this, it is
important to improve the prediction method of air pollutant concentrations to obtain accurate …
important to improve the prediction method of air pollutant concentrations to obtain accurate …
Spatial analysis and risk assessment of urban BTEX compounds in Urmia, Iran
A Mohammadi, Y Ghassoun, MO Löwner… - Chemosphere, 2020 - Elsevier
Abstract Land Use Regression models (LUR) are the most common tools to estimate intra-
urban air pollutant exposure in epidemiological studies. However, number of available and …
urban air pollutant exposure in epidemiological studies. However, number of available and …