Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

Modeling of spatial distribution of pollutants in the urbanized territories is difficult, especially if there are multiple emission sources. When monitoring such territories, it is often impossible to arrange the necessary detailed sampling. Because of this, the usual methods of analysis and forecas...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Shichkin, A. V., Tyagunov, A. G., Medvedev, A. N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Dust Emission Errors Geostatistics Industrial areas Kriging interpolation Modelling Multilayer perceptrons Neural networks Pollutants Pollution sources Regression analysis Root-mean-square errors Sampling Snow cover Spatial distribution
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!