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Konstantinos Kakosimos

Researcher at Texas A&M University at Qatar

Publications -  89
Citations -  2024

Konstantinos Kakosimos is an academic researcher from Texas A&M University at Qatar. The author has contributed to research in topics: Air quality index & Particulates. The author has an hindex of 20, co-authored 84 publications receiving 1580 citations. Previous affiliations of Konstantinos Kakosimos include Aristotle University of Thessaloniki & Texas A&M University.

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Reference data for the density and viscosity of liquid aluminum and liquid iron

TL;DR: In this article, the available experimental data for the density and viscosity of liquid aluminum and iron have been critically examined with the intention of establishing a density and a visosity standard, and the overall uncertainty in the absolute values of the density is estimated to be one of ± 0.7% for aluminum and 0.8% for iron.
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Road traffic air and noise pollution exposure assessment - A review of tools and techniques.

TL;DR: There is a significant potential for developing a standard tool to assess combined exposure of traffic related air and noise pollution to facilitate health related studies and GIS, due to its geographic nature, is well established and has a significant capability to simultaneously address both exposures.
Book

Fires, Explosions, and Toxic Gas Dispersions: Effects Calculation and Risk Analysis

TL;DR: In this article, the authors present an overview of the methods used to assess the risk of fires, explosions, and toxic gas dispersion, and present a risk analysis procedure for each of them.
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Concentrations, sources and exposure risks associated with particulate matter in the Middle East Area—a review

TL;DR: In this article, the authors provided a comprehensive synthesis of the currently available published information which dealt with atmospheric particulate matter (PM) in the Middle East Area (MEA) and provided a focus on the PM sources, monitoring, health impacts and source apportionment.
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Operational Street Pollution Model (OSPM) – a review of performed application and validation studies, and future prospects

TL;DR: The Operational Street Pollution Model (OSPM) has been widely used in many countries for studying traffic pollution, performing analyses of field campaign measurements, studying efficiency of pollution abatement strategies, carrying out exposure assessments and as reference in comparison to other models.