[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] 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 …
[HTML][HTML] COVID-19 lockdown-induced changes in NO levels across India observed by multi-satellite and surface observations
We have estimated the spatial changes in NO 2 levels over different regions of India during
the COVID-19 lockdown (25 March–3 May 2020) using the satellite-based tropospheric …
the COVID-19 lockdown (25 March–3 May 2020) using the satellite-based tropospheric …
Neighborhood-scale ambient NO2 concentrations using TROPOMI NO2 data: Applications for spatially comprehensive exposure assessment
This study estimated long-term average ambient NO 2 concentrations using TROPOspheric
Monitoring Instrument (TROPOMI) tropospheric NO 2 data and land use information at the …
Monitoring Instrument (TROPOMI) tropospheric NO 2 data and land use information at the …
An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations
We reviewed 60 sensor networks and 17 related efforts (sensor review papers and data
accessibility projects) to better understand the landscape of stationary low-cost gas-phase …
accessibility projects) to better understand the landscape of stationary low-cost gas-phase …
Deep learning-based downscaling of tropospheric nitrogen dioxide using ground-level and satellite observations
Air quality is one of the major issues within an urban area that affect people's living
environment and health conditions. Existing observations are not adequate to provide a …
environment and health conditions. Existing observations are not adequate to provide a …
[HTML][HTML] Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains
F Meng, X Liang, C Xiao, G Wang - Ecological Indicators, 2021 - Elsevier
In arid and semi-arid regions, groundwater plays an important role in both local economic
and population development. Therefore, the cost effective and rapid assessment of locations …
and population development. Therefore, the cost effective and rapid assessment of locations …
Development of land use regression model to estimate particulate matter (PM10) and nitrogen dioxide (NO2) concentrations in Peninsular Malaysia
Nowadays, exposure modelling has become the preferred method for assessing human air
pollution exposure due to its capability to predict air pollution under various conditions. The …
pollution exposure due to its capability to predict air pollution under various conditions. The …
High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM2.5 Distribution in Beijing, China
Y Zhang, H Cheng, D Huang, C Fu - International Journal of …, 2021 - mdpi.com
PM2. 5 is one of the primary components of air pollutants, and it has wide impacts on human
health. Land use regression models have the typical disadvantage of low temporal …
health. Land use regression models have the typical disadvantage of low temporal …
Development of Land Use Regression (LUR) models and high-resolution spatial mapping of criteria air pollutants: Leveraging Delhi's continuous air monitoring …
High-resolution air pollution maps can help researchers and governments better
characterize and mitigate pollution levels in a given region. Land Use Regression (LUR) …
characterize and mitigate pollution levels in a given region. Land Use Regression (LUR) …