P
Prashant Kumar
Researcher at University of Surrey
Publications - 470
Citations - 16345
Prashant Kumar is an academic researcher from University of Surrey. The author has contributed to research in topics: Air quality index & Medicine. The author has an hindex of 54, co-authored 363 publications receiving 11561 citations. Previous affiliations of Prashant Kumar include Southeast University & Dr. B. R. Ambedkar National Institute of Technology Jalandhar.
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Journal ArticleDOI
Airborne particles in the city center of Kuala Lumpur: Origin, potential driving factors, and deposition flux in human respiratory airways
Firoz Khan,Ahmad Hazuwan Hamid,Aynul Bari,Abdul Basit Ahmad Tajudin,Mohd Talib Latif,Mohd Shahrul Mohd Nadzir,Mazrura Sahani,Muhammad Ikram A. Wahab,Yusri Yusup,Khairul Nizam Abdul Maulud,Mohd Famey Yusoff,Nowshad Amin,Akhtaruzzaman,Warren B. Kindzierski,Prashant Kumar +14 more
TL;DR: Diurnal and correlation analysis showed that traffic emissions and meteorological confounding factors were potential driving factors for changes in the PNCs (Dp ≤1 μm) at the modeling site, and probable local and transboundary inputs of P NCs in Kuala Lumpur.
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New Directions: Airborne ultrafine particle dust from building activities – A source in need of quantification
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Global air quality and covid-19 pandemic: Do we breathe cleaner air?
Mehdi Amouei Torkmahalleh,Zarina Akhmetvaliyeva,Ali Darvishi Omran,Faezeh Faezeh Darvish Omran,Mohadeseh Kazemitabar,Mahtab Naseri,Motahareh Naseri,Hamed Sharifi,Milad Malekipirbazari,Enoch Kwasi Adotey,Soudabeh Gorjinezhad,Neda Eghtesadi,Sergei Sabanov,Andrés Alastuey,Maria de Fátima Andrade,Giorgio Buonanno,Samara Carbone,Diego Cardenas-Fuentes,Flemming R. Cassee,Qili Dai,Andrés Henríquez,Philip K. Hopke,Petri Keronen,Haider A. Khwaja,Jong Kim,Markku Kulmala,Prashant Kumar,Jonilda Kushta,Joel Kuula,Jordi Massagué,Tamsin Mitchell,Dennis Mooibroek,Lidia Morawska,Jarkko V. Niemi,Soulemane Halif Ngagine,Michael Norman,Beatriz Oyama,Pedro Oyola,Fatma Öztürk,Tuukka Petäjä,Xavier Querol,Yousef Rashidi,Felipe Reyes,Matthew Ross-Jones,Tunga Salthammer,Chrysanthos Savvides,Luca Stabile,Karin Sjöberg,Karin Söderlund,Ramya Sunder Raman,Hilkka Timonen,Masakazu Umezawa,Mar Viana,Shanju Xie +53 more
TL;DR: The authors of as discussed by the authors truly appreciate the funding provided by Nazarbayev University through the Collaborative Research Grant (grant number: 091019CRP2104), and they would like to acknowledge the resources provided by CART and EREC to conduct this research.
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Prediction of airborne nanoparticles at roadside location using a feed–forward artificial neural network
TL;DR: In this article, a prognostic supervised machine learning technique, namely feed-forward artificial neural network (ANN), has been used with a back-propagation algorithm, to stochastically predict PNCs in three size ranges (N5-30, N30-100 and N100-300 nm).
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Developing a methodology to predict PM10 concentrations in urban areas using generalized linear models.
TL;DR: It is concluded that this model and the methodology could be adopted for other cities to predict PM10 concentrations when these data are not available by measurements from air quality monitoring stations or other acquisition means.