Estimation of PM2· 5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study

Q Wang, J Wang, J Zhou, J Ban, T Li - The Lancet Planetary Health, 2019 - thelancet.com
… We aimed to estimate the disease burden associated with particulate matter (PM) 2·5 across
… risk, quantify the health benefits of air quality improvement targets, and determine the effect …

[HTML][HTML] Essential variables for air quality estimation

A Shelestov, A Kolotii, T Borisova, O Turos… - … Journal of Digital …, 2020 - Taylor & Francis
… It is planned that new infrastructure will be created on the basis of existing air quality
monitoring stations, providing long-term PM2.5/PM10 observations, which potentially could be …

[HTML][HTML] The improvement of spatial-temporal resolution of PM2. 5 estimation based on micro-air quality sensors by using data fusion technique

YC Lin, WJ Chi, YQ Lin - Environment international, 2020 - Elsevier
… spatial-temporal estimation. This is the first study to combine the low-cost micro-sensor
Airbox data and EPA national monitoring stations data for air quality estimation, providing good …

Optimal temporal scale for the correlation of AOD and ground measurements of PM2. 5 in a real-time air quality estimation system

H Li, F Faruque, W Williams, M Al-Hamdan… - Atmospheric …, 2009 - Elsevier
… be considered to improve estimates of air quality surface. In addition… in real-time daily air
quality estimation and need to be … 2.5 spatial surface estimation in a real-time air quality system. …

Machine learning algorithm for estimating surface PM2. 5 in Thailand

P Gupta, S Zhan, V Mishra, A Aekakkararungroj… - Aerosol and Air Quality …, 2021 - aaqr.org
… to GEOS forecasted fields to generate bias corrected air quality forecasts for the region. …
Air quality is deteriorating in many urban and rural areas across the globe (State of Global Air, …

Performance evaluation of air quality models for predicting PM10 and PM2. 5 concentrations at urban traffic intersection during winter period

S Gokhale, N Raokhande - Science of the total environment, 2008 - Elsevier
… of estimation (ie underestimation and overestimation) for both particulate sizes on day-to-day
basis and the level of estimation was satisfactory to accept for a specific air quality goal. …

An enhanced PM2. 5 air quality forecast model based on nonlinear regression and back-trajectory concentrations

WG Cobourn - Atmospheric Environment, 2010 - Elsevier
… with an automated air quality forecast … air trajectory and regional air quality information to
compute 24-h back-trajectory concentrations. The PM24 parameter may be used by air quality

Estimating ground-level PM2. 5 levels in Taiwan using data from air quality monitoring stations and high coverage of microsensors

CC Ho, LJ Chen, JS Hwang - Environmental Pollution, 2020 - Elsevier
estimating ground-level PM 2.5 concentrations for all the 3 km × 3 km grids in Taiwan by
combining the data from air quality … data to more accurately estimate long-term exposure to PM …

Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China

T Xue, Y Zheng, G Geng, B Zheng, X Jiang, Q Zhang… - Remote Sensing, 2017 - mdpi.com
… data and satellite AOD to estimate fine-scale (1 km × 1 km) daily estimates of PM 2.5 and …
a fused estimator to join monitoring, satellite remote sensing and air quality modeling data …

Development of PM2. 5 and NO2 models in a LUR framework incorporating satellite remote sensing and air quality model data in Pearl River Delta region, China

X Yang, Y Zheng, G Geng, H Liu, H Man, Z Lv… - Environmental …, 2017 - Elsevier
estimates and air quality model (AQM) outputs can help explain the local spatial variation of
air … SRS and/or AQM estimates can help better explain the spatial variation of air pollution …