J
Jibran Khan
Researcher at Aarhus University
Publications - 40
Citations - 1063
Jibran Khan is an academic researcher from Aarhus University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 8, co-authored 18 publications receiving 614 citations. Previous affiliations of Jibran Khan include Texas A&M University at Qatar & Dawood University of Engineering and Technology.
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Solar power technologies for sustainable electricity generation – A review
TL;DR: In this article, different solar power technologies have been reviewed which can be utilized for the global sustainable electric power generation, including solar photovoltaic (PV) and concentrated solar power (CSP) technologies.
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Long-term residential exposure to PM2.5, PM10, black carbon, NO2, and ozone and mortality in a Danish cohort
Ulla Arthur Hvidtfeldt,Mette Sørensen,Camilla Geels,Matthias Ketzel,Matthias Ketzel,Jibran Khan,Jibran Khan,Anne Tjønneland,Kim Overvad,Jørgen Brandt,Ole Raaschou-Nielsen +10 more
TL;DR: A role of PM, BC, and NO2 in all-cause and CVD mortality independent of road traffic noise exposure is supported, supported by a Danish cohort study of 49,564 individuals followed up from enrollment in 1993-1997 through 2015.
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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.
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Development and performance evaluation of new AirGIS – A GIS based air pollution and human exposure modelling system
Jibran Khan,Jibran Khan,Konstantinos Kakosimos,Ole Raaschou-Nielsen,Jørgen Brandt,Steen Solvang Jensen,Thomas Ellermann,Matthias Ketzel,Matthias Ketzel +8 more
TL;DR: In this article, the authors developed a substantially revised version of AirGIS (hereafter, new AirGis) as a new modelling system in open-source GIS i.e. PostgreSQL software with its spatial extension PostGIS to optimize the model performance enabling model calculations for a large number of sites over a large geographical area, with limited computing resources.
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Evaluation of the Danish AirGIS air pollution modeling system against measured concentrations of PM2.5, PM10, and black carbon
Ulla Arthur Hvidtfeldt,Matthias Ketzel,Mette Sørensen,Ole Hertel,Jibran Khan,Jørgen Brandt,Ole Raaschou-Nielsen +6 more
TL;DR: The AirGIS framework showed an overall high degree of accuracy and will be applicable to future epidemiological studies on health effects of PM and BC.