Forecasting peak pollutant levels from meteorological variables

IC Ziomas, D Melas, CS Zerefos, AF Bais… - Atmospheric …, 1995 - Elsevier
… on the pollution levels at the monitoring station at Patision. For this reason, the present
analysis for forecasting maximum NO2 concentrations, is limited to this station only. It must be …

Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast

J Bi, KE Knowland, CA Keller, Y Liu - Environmental science & …, 2022 - ACS Publications
… While the framework was evaluated in China with a satisfactory number of regulatory air
monitoring stations in this study, we expect that it can also be deployed in resource-restricted …

Discovering relationships and forecasting PM10 and PM2. 5 concentrations in Bogotá, Colombia, using artificial neural networks, principal component analysis, and k …

F Franceschi, M Cobo, M Figueredo - Atmospheric Pollution Research, 2018 - Elsevier
monitoring data or even surveillance gaps (Niu et al., 2016). Particularly in Bogotá, not all
monitoring stations … availability of the data in the monitoring stations selected for this study. If …

Forecasting model validation of particulate air pollution by low cost sensors data

N Lotrecchiano, F Gioiella, A Giuliano… - Journal of Modeling and …, 2019 - xpublication.com
… to forecast the urban quality air using the concentration levels of particulate matter and
meteorological conditions. The air quality data recorded by monitoring stationsconcentrations of …

Forecasting of surface ozone concentration by using artificial neural networks in rural and urban areas in central Poland

I Pawlak, J Jarosławski - Atmosphere, 2019 - mdpi.com
… ozone concentrations at rural stations than at … forecasts of surface ozone concentrations
based on only three variables (temperature, relative humidity and nitrogen dioxide concentration)…

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

Y Bai, Y Li, X Wang, J Xie, C Li - Atmospheric pollution research, 2016 - Elsevier
… Therefore, an accurate and reliable model for forecasting air pollutants concentrations is
important … This monitoring station is located at 10658′10″E/2951′26″N in Nan'an District of …

Models of particulate matter concentration forecasting based on artificial neural networks

M Oprea, M Popescu, EG Dragomir… - 2017 9th IEEE …, 2017 - ieeexplore.ieee.org
… In this experiment we have followed the proposed methodology in order to build an FF-ANN
forecasting model to predict the next hour PM10 concentration at the PH-2 monitoring station

[PDF][PDF] An application of time series analysis for forecasting and control of carbon monoxide concentrations

C Guarnaccia, JG Cerón Bretón… - … Models and Methods …, 2014 - researchgate.net
… ) usually measured in the air quality monitoring stations and measurement techniques. The
… CO ambient air concentrations during 2012, obtained from the Northeast Station of the SIMA …

Prediction of PM2. 5 concentration based on the similarity in air quality monitoring network

M Li, W Wang, Z Wang, Y Xue - Building and Environment, 2018 - Elsevier
… to forecast PM 2.5 concentration. The results showed that SVR could meet the satisfaction of
air quality forecasting with … In this paper, PM 2.5 concentrations at surrounding stations were …

Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy

U Brunelli, V Piazza, L Pignato, F Sorbello… - Atmospheric …, 2007 - Elsevier
… The above figures are referred to the eight monitoring stations showing the two-day-ahead
daily maximum concentration forecasting and dispersion result for each recorded pollutant. …