|
Abstract
|
|
|---|---|
| The SOM algorithm and numerical taxonomy has been applied to classify the Tajo hydrographic basin (Spain) till Portugal border. A total of 52 stations have collected data. 15 variables of water have been used in this study: flow (m3/sec), pH, electrical conductivity, concentration of several cations and anions (mgr/l) such as Cl-, SO4=, alkalinity (CO3H-, CO3=, OH-), Ca2+, Mg2+, Na+ and K+. The analysis proceeds in two different lines. First, the Kohonen algorithm is trained using as input the corresponding mean each of the variables for each station. This will allow us to establish different clusters characterized in terms of the variables and other auxiliary variables before that referred to us the help we understand and explain the construction of the groups. Second, a new Kohonen network will be trained using as inputs averages of the latent variables or factors obtained after carrying out factor analysis on all available data. Different groups were obtained by applying a Euclidean distance between stations (distance classification) and a Euclidean distance between each station and the estimated centre of gravity between them (centroid classification), varying the number of parameters and with or without standardized variable. | |
|
International
|
Si |
|
Congress
|
E.G.U. 2012 9th General Assembly. |
|
|
960 |
|
Place
|
Viena, Austria |
|
Reviewers
|
Si |
|
ISBN/ISSN
|
1029-7006 |
|
|
|
|
Start Date
|
22/04/2012 |
|
End Date
|
27/04/2012 |
|
From page
|
1 |
|
To page
|
1 |
|
|
Geophysical Research Abstracts Vol. 14 |