WIT Press

Artificial Neural Networks And Geostatistics For Environmental Mapping

Price

Free (open access)

Paper DOI

10.2495/AI960261

Volume

16

Pages

19

Published

1996

Size

206 kb

Author(s)

Kanevsky M., Arutyunyan R., Bolshov L., Demyanov V. , Savelieva E., Haas T. & Maignan M.

Abstract

The report presents several approaches and models that were used for spatial estimations of radioactively contaminated territories after Chernobyl nuclear accident followed by large scale environmental consequences: well known traditional deterministic models (inverse distance weighted algorithms, multiquadric equations), recently developed geostatistical models (Moving Window Regression Residual Kriging/CoKriging), and artificial neural networks (ANN). The models used differ in amount of preliminary analysis, levels of complexity and assumptions about the data behaviour.

Keywords