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Journal ArticleDOI

Influence of meteorological conditions on PM2.5 and PM2.5−10 concentrations during the monsoon season in Hanoi, Vietnam

P.D. Hien, +4 more
- 01 Jul 2002 - 
- Vol. 36, Iss: 21, pp 3473-3484
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TLDR
In this article, the most important determinants of PM2.5 are wind speed and air temperature, while rainfall and relative humidity largely control the daily variations of PM 2.5, indicating the high abundance of soil dust in this fraction.
About
This article is published in Atmospheric Environment.The article was published on 2002-07-01. It has received 196 citations till now. The article focuses on the topics: Particulates.

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Citations
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Journal ArticleDOI

Dependence of urban air pollutants on meteorology.

TL;DR: Wind direction was found to have an influence not only on pollutant concentrations but also on the correlation between pollutants, and the pollutants associated with traffic were at highest ambient concentration levels when wind speed was low.
Journal ArticleDOI

Particulate air pollution in six Asian cities: Spatial and temporal distributions, and associated sources

TL;DR: A monitoring program for particulate matter pollution was designed and implemented in six Asian cities/metropolitan regions including Bandung, Bangkok, Beijing, Chennai, Manila, and Hanoi, within the framework of the Asian regional air pollution research network (AIRPET), coordinated by the Asian Institute of Technology.
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Neural network prediction model for fine particulate matter (PM2.5) on the US-Mexico border in El Paso (Texas) and Ciudad Juárez (Chihuahua)

TL;DR: The RBF shows up to be the network with the shortest training times, combined with a greater stability during the prediction stage, thus characterizing this topology as an ideal solution for its use in environmental applications instead of the widely used and less effective MLP.
Journal ArticleDOI

One decade of parallel fine (PM 2.5 ) and coarse (PM 10 ???PM 2.5 ) particulate matter measurements in Europe: trends and variability

TL;DR: In this article, the trends and variability of PM 10, PM 2.5 and PM coarse concentrations at seven urban and rural background stations in five European countries for the period between 1998 and 2010 were investigated.
References
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Journal ArticleDOI

Review and intercomparison of operational methods for the determination of the mixing height

TL;DR: In this paper, the authors present a review of the literature on the analysis of profile measurements and the use of parameterisations and simple models, and suggest for the preprocessor development and for future research activities.
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Mixing Depths, Wind Speeds and Air Pollution Potential for Selected Locations in the United States

TL;DR: In this article, daily estimates of mixing depths and average wind speeds through the mixing layers were calculated and summarized for seven locations in several climatic regions of the contiguous United States, and the frequency of occurrence of various combinations of mixing depth and wind speed classes were used in an urban diffusion model to calculate theoretical values of relative pollutant concentration for four major cities.
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Sources and processes affecting concentrations of PM10 and PM2.5 particulate matter in Birmingham (U.K.)

TL;DR: In this article, hourly average concentrations of PM10 and PM2.5 have been measured simultaneously at a site within Birmingham U.K. between October 1994 and October 1995, showing a marked difference between summer and winter periods.
Journal ArticleDOI

Mixing height estimation from sodar data — A critical discussion☆

TL;DR: In this paper, the authors examine the methods and results of mixing height determination from sodar data that have been reported in the literature and discuss the theoretical base, the methods suggested, the automatization of algorithms, and the intercomparison of sodar-based mixing height values with data from independent measurements and models.
Journal ArticleDOI

Comparative receptor modelling study of TSP, PM2 and PM2−10 in Ho Chi Minh City

TL;DR: In this article, the authors used principal component factor analysis (PCFA) to identify and quantify aerosol sources using TSP (total suspended particulate matter), PM2−10 and PM2 (particulate matter with aerodynamic diameters from 2 to 10μm and less than 2μm, respectively) in Ho Chi Minh City.
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