The Potential Of Kohonen Method For Classifying Rivers Focused On Regional Environmental Flow Determination With ELOHA


Autoria(s): Gonzalez Cuellar, Federico; Obregon Neira, Nelson
Data(s)

01/08/2014

Resumo

This article highlights the potential benefits that the Kohonen method has for the classification of rivers with similar characteristics by determining regional ecological flows using the ELOHA (Ecological Limits of Hydrologic Alteration) methodology. Currently, there are many methodologies for the classification of rivers, however none of them include the characteristics found in Kohonen method such as (i) providing the number of groups that actually underlie the information presented, (ii) used to make variable importance analysis, (iii) which in any case can display two-dimensional classification process, and (iv) that regardless of the parameters used in the model the clustering structure remains. In order to evaluate the potential benefits of the Kohonen method, 174 flow stations distributed along the great river basin “Magdalena-Cauca” (Colombia) were analyzed. 73 variables were obtained for the classification process in each case. Six trials were done using different combinations of variables and the results were validated against reference classification obtained by Ingfocol in 2010, whose results were also framed using ELOHA guidelines. In the process of validation it was found that two of the tested models reproduced a level higher than 80% of the reference classification with the first trial, meaning that more than 80% of the flow stations analyzed in both models formed invariant groups of streams.

Formato

application/pdf

Identificador

http://academicworks.cuny.edu/cc_conf_hic/335

http://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1334&context=cc_conf_hic

Idioma(s)

English

Publicador

CUNY Academic Works

Fonte

International Conference on Hydroinformatics

Palavras-Chave #2014 International Conference on Hydroinformatics HIC #Transport and Eco-hydraulic Modelling #Case Studies #Data-Mining Techniques #self-organizing maps of Kohonen #Regional Ecological Flows #Ecological Limits of Hydrologic Alteration (ELOHA) #R29 #Hydrologic Modeling Processes and River Flows #Environmental Sciences #Physical Sciences and Mathematics #Water Resource Management
Tipo

presentation