An Approach to Method for Water Yield Spatio-Temporal Prediction in Basins without Records

Abstract

In this study, an approach to a method for water yield Spatio-temporal prediction was applied in two micro-basins without records, located in Venezuela. Geomorphological characteristics of micro-basins were obtained using digital elevation models acquired from the ALOS PALSAR satellite. Two models were included for the Spatio-temporal prediction of hydro meteorological variables. The first model involved deterministic and stochastic components, calibrated using two-time series (TS). TS-1 consisted of records from 227 precipitation stations and 62 evaporation stations collected by Environment Ministry during 1980-1999. TS-2 included records from 28 precipitation stations and 18 evapotranspiration stations collected by the National Institute of Meteorology and Hydrology during 2015-2018. The second model estimated effective precipitation from TS-2 precipitation maps, runoff coefficient from land use, and land cover (LULC) prediction. The LULC was estimated on 59 Landsat 8OLI images for 2015-2018. The validation was carried out with observations of the Hydrological Central Company, resulting in determination coefficients upper to 0.95.