Wildfire and prescribed burning impacts on air quality in the United States
Air quality impacts from wildfires have been dramatic in recent years, with millions of people
exposed to elevated and sometimes hazardous fine particulate matter (PM 2.5) …
exposed to elevated and sometimes hazardous fine particulate matter (PM 2.5) …
A review of statistical methods used for developing large-scale and long-term PM2. 5 models from satellite data
Research of PM 2.5 chronic health effects requires knowledge of large-scale and long-term
exposure that is not supported by newly established monitoring networks due to their sparse …
exposure that is not supported by newly established monitoring networks due to their sparse …
[HTML][HTML] An LSTM-based aggregated model for air pollution forecasting
During the past few years, severe air-pollution problem has garnered worldwide attention
due to its effect on health and wellbeing of individuals. As a result, the analysis and …
due to its effect on health and wellbeing of individuals. As a result, the analysis and …
A machine learning method to estimate PM2. 5 concentrations across China with remote sensing, meteorological and land use information
Background Machine learning algorithms have very high predictive ability. However, no
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach
To estimate PM2. 5 concentrations, many parametric regression models have been
developed, while nonparametric machine learning algorithms are used less often and …
developed, while nonparametric machine learning algorithms are used less often and …
Long-term exposure to fine particulate matter and cardiovascular disease in China
Background Evidence of the effects of long-term fine particulate matter (PM2. 5) exposure on
cardiovascular diseases (CVDs) is rare for populations exposed to high levels of PM2. 5 in …
cardiovascular diseases (CVDs) is rare for populations exposed to high levels of PM2. 5 in …
Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013
Background Three decades of rapid economic development is causing severe and
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …
Satellite-based mapping of daily high-resolution ground PM2. 5 in China via space-time regression modeling
The use of satellite-retrieved aerosol optical depth (AOD) data and statistical modeling
provides a promising approach to estimating PM 2.5 concentrations for a large region …
provides a promising approach to estimating PM 2.5 concentrations for a large region …
Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing
Estimating ground-level PM2. 5 from satellite-derived aerosol optical depth (AOD) using a
spatial statistical model is a promising new method to evaluate the spatial and temporal …
spatial statistical model is a promising new method to evaluate the spatial and temporal …
Air pollution prediction using long short-term memory (LSTM) and deep autoencoder (DAE) models
T Xayasouk, HM Lee, G Lee - Sustainability, 2020 - mdpi.com
Many countries worldwide have poor air quality due to the emission of particulate matter (ie,
PM10 and PM2. 5), which has led to concerns about human health impacts in urban areas …
PM10 and PM2. 5), which has led to concerns about human health impacts in urban areas …