B
Brian Broderick
Researcher at Trinity College, Dublin
Publications - 118
Citations - 2915
Brian Broderick is an academic researcher from Trinity College, Dublin. The author has contributed to research in topics: Air quality index & Air pollution. The author has an hindex of 26, co-authored 108 publications receiving 2389 citations. Previous affiliations of Brian Broderick include University College Dublin & Imperial College London.
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Air pollution abatement performances of green infrastructure in open road and built-up street canyon environments – A review
K.V. Abhijith,Prashant Kumar,John Gallagher,John Gallagher,Aonghus McNabola,Richard Baldauf,Francesco Pilla,Brian Broderick,Silvana Di Sabatino,Beatrice Pulvirenti +9 more
TL;DR: In this paper, the authors examined published literature on neighbourhood air quality modifications by green interventions and provided a better understanding of the interactions between vegetation and surrounding built-up environments and ascertain means of reducing local air pollution exposure using green infrastructure.
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Passive control of wind turbine vibrations including blade/tower interaction and rotationally sampled turbulence
TL;DR: In this paper, the authors investigated the use of a tuned mass damper (TMD) for the mitigation of vibrations due to the along-wind forced vibration response of a simplified wind turbine.
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Along-wind response of a wind turbine tower with blade coupling subjected to rotationally sampled wind loading
TL;DR: In this paper, the authors investigate the along-wind forced vibration response of a wind turbine tower and rotating blades assembly subjected to rotationally sampled stationary wind loading, using a discrete Fourier transform (DFT) representation of wind turbulence spectra.
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Relative exposure to fine particulate matter and VOCs between transport microenvironments in Dublin : Personal exposure and uptake
TL;DR: In this article, the authors compared the relative exposure to and uptake of air pollutants between modes of commuter transport, measurements of personal exposure to PM2.5 and traffic-related VOCs were obtained over an 18-month period.
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Real time air quality forecasting using integrated parametric and non-parametric regression techniques
TL;DR: In this paper, a non-parametric kernel regression is used to produce linearized factors describing variations in concentrations with wind speed and direction and, furthermore, to produce seasonal and diurnal factors.