Different hydroclimatology researchers apply eigenvectors-based techniques to compress large volumes of information while preserving the invariant structure of the original data. This research developed a methodology applying one of these techniques, Principal Component Analysis, on the elements of variability in hydroclimatic time series, and then to identify clusters with the k-means method. The result is a regionalized map by variable. Finally, these maps are intersected, obtaining areas with a homogeneous hydroclimatic structure, because the variables have similarity in their variance structure. In the case study, 8 variables were evaluated for Colombia (9268 time series), obtaining as a result 26 hydroclimatic regions. Obtaining hydroclimatically homogeneous regions offers the possibility of generating, among others, projects for climate change adaptation in a localized way to provide quasi-specific solutions that maximize results.
Pérez, DD; Domínguez, E
Determination of hydroclimatically homogeneous areas. A technical proposal
Ingenieria Del Agua