Particle number size distributions from seven major sources and implications for source apportionment studies

TV Vu, JM Delgado-Saborit, RM Harrison - Atmospheric Environment, 2015 - Elsevier
The particle number size distribution (PNSD) of airborne particles not only provides us with
information about sources and atmospheric processing of particles, but also plays an …

Effect of wind speed and relative humidity on atmospheric dust concentrations in semi-arid climates

J Csavina, J Field, O Félix, AY Corral-Avitia… - Science of the Total …, 2014 - Elsevier
Atmospheric particulate have deleterious impacts on human health. Predicting dust and
aerosol emission and transport would be helpful to reduce harmful impacts but, despite …

[HTML][HTML] Ultrafine particles and PM2. 5 in the air of cities around the world: Are they representative of each other?

AL De Jesus, MM Rahman, M Mazaheri… - Environment …, 2019 - Elsevier
Can mitigating only particle mass, as the existing air quality measures do, ultimately lead to
reduction in ultrafine particles (UFP)? The aim of this study was to provide a broader urban …

Using the geographical detector technique to explore the impact of socioeconomic factors on PM2. 5 concentrations in China

Y Ding, M Zhang, X Qian, C Li, S Chen… - Journal of cleaner …, 2019 - Elsevier
The purpose of this study is to explore the impact of socioeconomic factors on PM 2.5
concentrations and to provide insights into air quality improvement. We firstly studied the …

Urban PM2.5 Concentration Prediction via Attention-Based CNN–LSTM

S Li, G **e, J Ren, L Guo, Y Yang, X Xu - Applied Sciences, 2020 - mdpi.com
Urban particulate matter forecasting is regarded as an essential issue for early warning and
control management of air pollution, especially fine particulate matter (PM2. 5). However …

Particle number size distribution in the urban atmosphere of Bei**g, China

Z Wu, M Hu, P Lin, S Liu, B Wehner… - Atmospheric …, 2008 - Elsevier
Two-year measurements of particle number size distribution (3nm–10μm) were conducted in
Bei**g, China since March 2004. Their seasonal, weekly and diurnal variations and …

Particulate matter exposure of passengers at bus stations: A review

LTN Ngoc, M Kim, VKH Bui, D Park, YC Lee - International journal of …, 2018 - mdpi.com
This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting
its distribution, and its health effects on passengers waiting at bus stations. The usual factors …

Meteorological variations of PM2. 5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak …

M Akyüz, H Çabuk - Journal of hazardous materials, 2009 - Elsevier
Airborne particulate matter (PM2. 5 and PM10) concentrations were measured in Zonguldak,
Turkey from January to December 2007, using dichotomous Partisol 2025 sampler …

An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China

L Jian, Y Zhao, YP Zhu, MB Zhang… - Science of the Total …, 2012 - Elsevier
In order to investigate the effect of meteorological factors on submicron particle (ultrafine
particle (UFP) and particulate matter 1.0 (PM1. 0)) concentrations under busy traffic …

The urban measurement station SMEAR III: Continuous monitoring of air pollution and surface–atmosphere interactions in Helsinki, Finland

J Järvi, H Hannuniemi, T Hussein… - Boreal environment …, 2009 - search.proquest.com
We present results from the air pollution and turbulent exchange measurements made at the
urban measurement station SMEAR III in Helsinki, Finland. First measurements at the station …