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Tareq Hussein

Researcher at University of Helsinki

Publications -  185
Citations -  6646

Tareq Hussein is an academic researcher from University of Helsinki. The author has contributed to research in topics: Aerosol & Particle number. The author has an hindex of 40, co-authored 165 publications receiving 5516 citations. Previous affiliations of Tareq Hussein include Finnish Institute of Occupational Health & Stockholm University.

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Journal Article

Formation and growth of fresh atmospheric aerosols: eight years of aerosol size distribution data from SMEAR II, Hyytiälä, Finland

TL;DR: In this paper, the authors analyzed size distributions measured continuously at a boreal forest measurement site at Hyytiala, Finland between 1996 and 2003 and identified days when new aerosol particle formation was taking place as well as days when no formation was detected, removing days with ambiguous status.
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Urban aerosol number size distributions

TL;DR: In this article, the authors measured aerosol number size distributions within the particle diameter size range 8-400nm during the period from May 1997 to March 2003 in Helsinki, Finland and found that more than 80% of the number size distribution had three modes: nucleation mode (30nm), Aitken mode (20-100nm), and accumulation mode (90nm).
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Particle size characterization and emission rates during indoor activities in a house

TL;DR: In this article, the authors presented and investigated the physical characteristics and size-fractionated emission rates of indoor aerosol particles during different activities in a house (naturally ventilated) located in Prague, Czech Republic.
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Diurnal and annual characteristics of particle mass and number concentrations in urban, rural and Arctic environments in Finland

TL;DR: In this paper, the authors investigated the annual and diurnal variation of the nucleation, Aitken and accumulation mode aerosol number concentrations in four different places, Helsinki, Hyytiala, Pallas and Varrio in Finland.
Journal Article

Evaluation of an automatic algorithm for fitting the particle number size distributions

TL;DR: An algorithm to parameterize aerosol particle number size distributions with the multi log-normal distribution function is developed and evaluated and showed the following advantages: it is suitable for different types of aerosol particles observed in different environments and conditions, it showed agreement with the previous standard algorithm in about 90% of long-term data set, it is not time-consuming, particularly when long- term data sets are analyzed.