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Published in 2022 at "Journal of environmental quality"
DOI: 10.1002/jeq2.20326
Abstract: Severe daily ambient PM2.5 concentrations (> 400 μg m-3 ) have been recorded in Delhi for about 50 days in the post-monsoon seasons (October to November) between 2016 to 2019. Monthly average ambient PM2.5 concentration…
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Keywords:
crop residue;
post monsoon;
pm2 concentration;
ambient pm2 ... See more keywords
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Published in 2020 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7943-9
Abstract: With the acceleration of urbanization and industrialization, atmospheric pollution has become a major issue, restricting the sustainable development of the urban environment. Since 2013, Beijing has been among China’s most seriously affected regions in terms…
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Keywords:
land use;
driving factors;
land;
pm2 concentration ... See more keywords
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Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2016.12.019
Abstract: The auto-regressive distributed lag (ARDL) bound testing approach was used to study the relationships between the monthly household electricity consumption and outdoor PM2.5 concentration with the consideration of ambient temperature and the number of rainy…
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Keywords:
pm2 concentration;
household electricity;
electricity;
electricity consumption ... See more keywords
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Published in 2019 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2018.11.057
Abstract: Abstract Beijing has experienced increasingly frequent heavy air pollution caused by high loadings of fine particulate matter (PM2.5) in recent decades, especially in autumn and winter. In this study, the formation mechanisms of air pollution…
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Keywords:
pm2 concentration;
monsoon;
pollution;
winter ... See more keywords
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Published in 2019 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2019.04.002
Abstract: Abstract Atmospheric particulate matter (PM) that have particle diameter less than 2.5 μm (PM2.5) are hazardous to public health whose concentration has been either measured on the ground or inferred from satellite-retrieved aerosol optical depth (AOD).…
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Keywords:
top atmosphere;
learning algorithm;
concentration;
machine learning ... See more keywords
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Published in 2020 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2019.117205
Abstract: Abstract Ordinary interpolation using PM2.5 ground monitoring observations can seldom reveal the PM2.5 concentration distribution characteristics due to the uneven distribution of monitoring stations and because ordinary linear regression often neglects the spatial autocorrelation among…
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Keywords:
esf svc;
eigenvector spatial;
model;
concentration ... See more keywords
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Published in 2021 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2021.118437
Abstract: Abstract Particulate matter with a diameter of ≤ 2.5 μm (PM2.5) is a critical air pollutant that adversely affects human health and the ecological environment. Using the data of daily air pollutant concentration and meteorological…
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Keywords:
pm2 concentration;
model;
air;
concentration ... See more keywords
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Published in 2019 at "Building and Environment"
DOI: 10.1016/j.buildenv.2019.04.058
Abstract: Abstract Atmospheric particulate matter (PM) pollution is becoming a growing global problem with the rapid process of urbanization. Urban green space (UGS) can effectively alleviate PM; however, few studies have investigated the effects of the…
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Keywords:
pattern;
green space;
urban green;
pm2 ... See more keywords
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Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.128562
Abstract: Air pollution affects not only the air quality in megacities but also in medium and small-sized cities due to rapid urbanization, industrialization, and other anthropogenic activities. From October 28, 2015 to November 3, 2015, the…
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Keywords:
air;
haze event;
meteorology;
pm2 concentration ... See more keywords
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Published in 2021 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2021.131285
Abstract: The main objective of the present study was to predict the associated health endpoint of PM2.5 using an artificial neural network (ANN). The neural network used in this work contains a hidden layer with 27…
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Keywords:
network;
artificial neural;
health;
neural network ... See more keywords
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Published in 2019 at "Environmental pollution"
DOI: 10.1016/j.envpol.2019.113047
Abstract: Ground-measured PM2.5 concentration data are oftentimes used as a response variable in various satellite-based PM2.5 mapping practices, yet few studies have attempted to incorporate ground-measured PM2.5 data collected from nearby stations or previous days as…
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Keywords:
pm2;
information;
based pm2;
accuracy ... See more keywords