Land-use regression modelling of highway ultrafine particle number concentrations
نویسندگان
چکیده
منابع مشابه
Aviation-Related Impacts on Ultrafine Particle Number Concentrations Outside and Inside Residences near an Airport
Jet engine exhaust is a significant source of ultrafine particles and aviation-related emissions can adversely impact air quality over large areas surrounding airports. We investigated outdoor and indoor ultrafine particle number concentrations (PNC) from 16 residences located in two study areas in the greater Boston metropolitan area (MA, USA) for evidence of aviation-related impacts. During w...
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Long-term ultrafine particle (UFP) exposure estimates at a fine spatial scale are needed for epidemiological studies. Land use regression (LUR) models were developed and evaluated for six European areas based on repeated 30 min monitoring following standardized protocols. In each area; Basel (Switzerland), Heraklion (Greece), Amsterdam, Maastricht, and Utrecht ("The Netherlands"), Norwich (Unit...
متن کاملTime-averaging of ultrafine particle number size spectra
On the time-averaging of ultrafine particle number size spectra in vehicular plumes X. Yao, N. T. Lau, M. Fang, and C. K. Chan Institute for the Environment, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, PRC Department of Chemical Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, PRC Received: 17 May 2006 – Accepted: 14 July 2...
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Many studies have widely discussed and reported strong relationship of the concentration of ultrafine particles (UFP) <100 nm in diameter with negative health effects (e.g. Heal et al., 2012; HEI, 2013; WHO, 2013). As an example, epidemiological and toxicological research demonstrated associations between daily average UFP concentrations measured at central locations and daily cardiorespiratory...
متن کاملPrediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen
Gaussian process regression is used to predict ultrafine particle (UFP) number concentrations. We infer their number concentrations based on the concentrations of NO, NO2, CO and O3 at half hour and five minutes resolution. Because UFP number concentrations follow from a dynamic process, we have used a non-stationary kernel based on the addition of a linear and a rational quadratic kernel. Simu...
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ژورنال
عنوان ژورنال: Canadian Young Scientist Journal
سال: 2014
ISSN: 1913-1925,2291-6954
DOI: 10.13034/cysj-2014-026