Author(s): Jose Guadalupe Garcia Contreras; Jesύs Pardo Loaiza; Sonia Tatiana Sanchez Quispe; Constantino Dominguez Sanchez

Linked Author(s): SONIA TATIANA SANCHEZ QUISPE, Constantino Domínguez Sánchez

Keywords: Multivariate methods; Precipitation-Runoff Model; EvalHID; Hydrology

Abstract: The development of Precipitation-Runoff Models (PRM) allows the assessment and management of surface water resources in an area, or the generation of information for incorporation into other simulation models. These models are usually aggregated, distributed or semi-distributed, depending on the objective of the study, the size of the catchment or the availability of information. However, in the case of semi-distributed models, there are large areas where the information is insufficient for their development and for obtaining quality results. In the case of climatological information, there are various statistical methods to process and complete the missing data, but this is not possible for hydrometric information. Therefore, in the absence of such information, multivariate statistical methods are used to perform a hierarchical grouping between sub-basins with similar characteristics that contain hydrometric information and those that do not. This is achieved through a principal component analysis of the variables that will form an informative matrix that will generate these clusters, and that will finally be corroborated with a discriminant analysis to verify the correct grouping of the sub-basins and thus evaluate the water resources of a basin.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0498-cd

Year: 2023