Urbanization impact on regional climate and extreme weather: Current understanding, uncertainties, and future research directions
Urban environments lie at the confluence of social, cultural, and economic activities and
have unique biophysical characteristics due to continued infrastructure development that …
have unique biophysical characteristics due to continued infrastructure development that …
The urban forest in Bei**g and its role in air pollution reduction
J Yang, J McBride, J Zhou, Z Sun - Urban forestry & urban greening, 2005 - Elsevier
Tree planting has been proposed by the municipal government as a measure to alleviate air
pollution in Bei**g, the capital of China. This study examines that proposal. It is based on …
pollution in Bei**g, the capital of China. This study examines that proposal. It is based on …
Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and …
Five neural network (NN) models, a linear statistical model and a deterministic modelling
system (DET) were evaluated for the prediction of urban NO2 and PM10 concentrations. The …
system (DET) were evaluated for the prediction of urban NO2 and PM10 concentrations. The …
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in …
In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …
methods, ie principal component analysis and artificial neural networks, in order to inter …
Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki
A Vlachogianni, P Kassomenos, A Karppinen… - Science of the total …, 2011 - Elsevier
Forecasting models based on stepwise multiple linear regression (MLR) have been
developed for Athens and Helsinki. The predictor variables were the hourly concentrations …
developed for Athens and Helsinki. The predictor variables were the hourly concentrations …
[HTML][HTML] Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies
K De Hoogh, M Korek, D Vienneau, M Keuken… - Environment …, 2014 - Elsevier
Background Land-use regression (LUR) and dispersion models (DM) are commonly used
for estimating individual air pollution exposure in population studies. Few comparisons have …
for estimating individual air pollution exposure in population studies. Few comparisons have …
A review of deterministic, stochastic and hybrid vehicular exhaust emission models
Vehicles spend more time near junctions and intersections in different driving modes, ie,
queuing, decelerating or accelerating and thus generating more pollutants than at road links …
queuing, decelerating or accelerating and thus generating more pollutants than at road links …
Ecosystem services analysis for the design of regenerative built environments
M Pedersen Zari - Building Research & Information, 2012 - Taylor & Francis
Abstract 'Neutral'environmental outcomes in terms of energy use, carbon emissions, waste
generation or water use are worthy but difficult targets in architectural and urban design …
generation or water use are worthy but difficult targets in architectural and urban design …
[HTML][HTML] An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation
An operational urban air quality modelling system ENFUSER is presented with an
evaluation against measured data. ENFUSER combines several dispersion modelling …
evaluation against measured data. ENFUSER combines several dispersion modelling …
Sources and factors affecting PM10 levels in two European cities: Implications for local air quality management
S Vardoulakis, P Kassomenos - Atmospheric Environment, 2008 - Elsevier
Despite improvements in vehicle and fuel technology that have led to reductions in primary
particle emissions, high PM10 levels have been observed in recent years in several …
particle emissions, high PM10 levels have been observed in recent years in several …