[HTML][HTML] Airborne particulate matter monitoring in Kenya using calibrated low-cost sensors

FD Pope, M Gatari, D Ng'ang'a… - Atmospheric …, 2018 - acp.copernicus.org
East African countries face an increasing threat from poor air quality stemming from rapid
urbanization, population growth, and a steep rise in fuel use and motorization rates. With few …

[HTML][HTML] Increase in secondary organic aerosol in an urban environment

M Via, MC Minguillón, C Reche… - Atmospheric …, 2021 - acp.copernicus.org
The evolution of fine aerosol (PM 1) species as well as the contribution of potential sources
to the total organic aerosol (OA) at an urban background site in Barcelona, in the western …

[HTML][HTML] A neural network aerosol-typing algorithm based on lidar data

D Nicolae, J Vasilescu, C Talianu… - Atmospheric …, 2018 - acp.copernicus.org
Atmospheric aerosols play a crucial role in the Earth's system, but their role is not completely
understood, partly because of the large variability in their properties resulting from a large …

Blue and green luminescent carbon nanodots from controllable fuel-rich flame reactors

C Russo, B Apicella, A Ciajolo - Scientific reports, 2019 - nature.com
The continuous synthesis in controlled gas flame reactors is here demonstrated as a very
effective approach for the direct and easy production of structurally reproducible carbon …

[HTML][HTML] Optical band gap analysis of soot and organic carbon in premixed ethylene flames: comparison of in-situ and ex-situ absorption measurements

C Russo, B Apicella, A Tregrossi, A Ciajolo, KC Le… - Carbon, 2020 - Elsevier
The similarity of in-situ and ex-situ absorption/extinction properties was found by comparing
data sets obtained in premixed flat ethylene flames (C/O= 0.77); both ex-situ absorption …

[HTML][HTML] Heavy metals in submicronic particulate matter (PM1) from a Chinese metropolitan city predicted by machine learning models

H Li, M Yang, F Li, X Liu, M Zhou, X Qian - Chemosphere, 2020 - Elsevier
The aim of this study was to establish a method for predicting heavy metal concentrations in
PM 1 (aerosol particles with an aerodynamic diameter≤ 1.0 μm) based on back propagation …

[HTML][HTML] Relationship between PM1. 0 and PM2. 5 in urban and background areas of Republic of Korea

S Kwon, SR Won, HB Lim, SC Hong, YM Lee… - Atmospheric Pollution …, 2023 - Elsevier
Seasonal intensive measurements of atmospheric particulate matter with aerodynamic
diameters less than or equal to a nominal 1.0 μm (PM 1.0) and 2.5 μm (PM 2.5) were …

[HTML][HTML] China's “coal-to-gas” policy had large impact on PM1. 0 distribution during 2016–2019

T Shi, Y Peng, X Ma, G Han, H Zhang, Z Pei, S Li… - Journal of …, 2024 - Elsevier
Particulate matter with an aerodynamic diameter of less than 1 μm (PM 1.0) can be
extremely hazardous to human health, so it is imperative to accurately estimate the spatial …

[HTML][HTML] An aerosol sensor for PM1 concentration detection based on 3D printed virtual impactor and SAW sensor

Y Wang, Y Wang, W Liu, D Chen, C Wu, J Xie - Sensors and Actuators A …, 2019 - Elsevier
This paper reports an aerosol sensor for PM 1 monitoring based on a virtual impactor (VI)
and a surface acoustic wave (SAW) sensor. The VI is fabricated using three-dimensional …

Fractionation of trace elements and human health risk of submicron particulate matter (PM1) collected in the surroundings of coking plants

E Zajusz-Zubek, T Radko, A Mainka - Environmental monitoring and …, 2017 - Springer
Samples of PM1 were collected in the surroundings of coking plants located in southern
Poland. Chemical fractionation provided information on the contents of trace elements As …