Methodology for the assessment of poor-data water resources.

ABSTRACT: Surface hydrologic modeling becomes a problem when insufficient spatial and temporal information is available. It is common to have useful modeling periods of less than 15 years. The purpose of this work is to develop a methodology that allows the selection of meteorological and hydrometric stations that are suitable for modeling when information is scarce in the area. Based on the scarcity of data, a series of statistical tests are proposed to eliminate stations according to a decision-making process. Although the number of stations decreases drastically, the information used is reliable and of adequate quality, ensuring less uncertainty in the surface simulation models. Individual basin modeling can be carried out considering the poor data. The transfer of parameters can be applied throu

SUBMITTER: Navarro-Farfan MDM 

PROVIDER: S-EPMC11271652 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature