naa a22 4500 510751695 CHVBK 20180411083107.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11270-013-1634-x doi (NATIONALLICENCE)springer-10.1007/s11270-013-1634-x Development and Application of Artificial Neural Network Modeling in Forecasting PM10 Levels in a Mediterranean City [Elektronische Daten] [K. Moustris, I. Larissi, P. Nastos, K. Koukouletsos, A. Paliatsos] The study of atmospheric concentration levels at a local scale is one of the most important topics in environmental sciences. Multivariate analysis, fuzzy logic, and neural networks have been introduced in forecasting procedures in order to elaborate operational techniques for level characterization of specific atmospheric pollutants at different spatial and temporal scales. Particularly, approaches based on artificial neural networks (ANNs) have been proposed and successfully applied for forecasting concentration levels of PM10, NO2, SO2, CO, and O3. The present study explores the development and application of ANN models for forecasting, 24h ahead, not only the daily concentration levels of PM10 but also the number of hours exceeding the PM10 concentration threshold during the day in five different regions within the greater Athens area (GAA). The ANN modeling was based on measurements and estimates of the mean daily PM10 concentration, the maximum hourly NO2 concentration, air temperature, relative humidity, wind speed, and the mode daily value of wind direction from five different monitoring stations for the period 2001-2005. The evaluation of the model performance showed the risk of daily PM10 concentration levels exceeding certain thresholds as well as the duration of the exceedances can be successfully predicted. Despite the limitations of the model, the results indicate that ANNs, when adequately trained, have considerable potential to be used for 1day ahead PM10 concentration forecasting and the duration within the GAA. Springer Science+Business Media Dordrecht, 2013 PM10 forecasting nationallicence Artificial neural networks nationallicence Athens nationallicence Greece nationallicence Moustris K. Department of Mechanical Engineering, Technological and Education Institute of Piraeus, Athens, Greece aut Larissi I. Laboratory of Environmental Technology, Electronic Computer Systems Engineering Department, Technological and Education Institute of Piraeus, Athens, Greece aut Nastos P. Laboratory of Climatology and Atmospheric Environment, Department of Geology and Geoenvironment, University of Athens, Athens, Greece aut Koukouletsos K. General Department of Mathematics, Technological Education Institute of Piraeus, Athens, Greece aut Paliatsos A. General Department of Mathematics, Technological Education Institute of Piraeus, Athens, Greece aut Water, Air, & Soil Pollution Springer Netherlands 224/8(2013-08-01), 1-11 0049-6979 224:8<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1634-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1634-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Moustris K. Department of Mechanical Engineering, Technological and Education Institute of Piraeus, Athens, Greece aut NATIONALLICENCE 700 1- Larissi I. Laboratory of Environmental Technology, Electronic Computer Systems Engineering Department, Technological and Education Institute of Piraeus, Athens, Greece aut NATIONALLICENCE 700 1- Nastos P. Laboratory of Climatology and Atmospheric Environment, Department of Geology and Geoenvironment, University of Athens, Athens, Greece aut NATIONALLICENCE 700 1- Koukouletsos K. General Department of Mathematics, Technological Education Institute of Piraeus, Athens, Greece aut NATIONALLICENCE 700 1- Paliatsos A. General Department of Mathematics, Technological Education Institute of Piraeus, Athens, Greece aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/8(2013-08-01), 1-11 0049-6979 224:8<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer