English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/37410
Title: Exploring the ecological status of human altered streams through Generative Topographic Mapping
Authors: Vellido, A.; Martí, Eugènia; Comas, J.; Rodríguez-Roda, I.; Sabater, Francesc
Keywords: Generative Topographic Mapping (GTM)
Ecological status
Missing data
Nutrient retention
Issue Date: 7-Jul-2007
Publisher: Elsevier
Citation: Environmental Modelling & Software 22(7) : 1053-1065
Abstract: The STREAMES (STream REAch Management, an Expert System) European project is an international enterprise for the development of a knowledge-based environmental decision support system to assist water managers with their decision making tasks. It involves the evaluation of the effect of substantial nutrient loads on the overall water quality and ecological status of stream ecosystems. Empirical data for the knowledge base come from several streams located throughout Europe and Israel, with emphasis on streams from the Mediterranean region. These data comprise several types of variables, including physical, chemical and biological parameters. The complexity of the data limits the amount and completeness of the available information. This study explores how similar the selected streams are on the basis of the ecological descriptors measured. The analysis of these similarities helps us to ascertain whether the same model of ecological status might hold over the variety of streams under consideration. The available data are explored and analysed through reconstruction, visualization and clustering using the Generative Topographic Mapping (GTM), a neural network-based model. Amongst the many advantages of the probabilistic setting of GTM, one is especially relevant to the problem at hand: its ability to handle and reconstruct missing data in a principled way.
Description: 13 Páginas ; 10 Figuras ; 4 Tablas
Publisher version (URL): http://dx.doi.org/10.1016/j.envsoft.2006.06.005
URI: http://hdl.handle.net/10261/37410
DOI: 10.1016/j.envsoft.2006.06.005
ISSN: 1364-8152
Appears in Collections:(CEAB) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.