Abstract

VILCHIS-MATA, Iván; BA, Khalidou M.; FRANCO-PLATA, Roberto  and  DIAZ-DELGADO, Carlos. Hydrological Modeling based on Rainfall Estimates using Hydrometeorological Sensors. Tecnol. cienc. agua [online]. 2015, vol.6, n.4, pp.45-60. ISSN 2007-2422.

This work assesses the integration of daily rainfall data from hydrometeorological sensors in the Amacuzac River basin, Mexico, for the period 2003 to 2009. It includes data from automated weather stations (AWS), C-band weather radar in the Cerro Catedral and PERSIANN and CMORPH satellite systems, in the CEQUEAU distributed hydrological model, with a spatial resolution of 27 x 27 km². These estimates can be used to simulate daily flow. The performance of the hydrological modeling was evaluated with Nash-Sutcliffe efficiency criteria, graphic techniques, calibration and validation. The results indicate that the values of the criteria used are acceptable when compared with observed daily rainfall as well as flow simulations. The mean daily interannual Nash values obtained were 0.60 with radar, 0.81 with PERSIANN, 0.83 with AWS and 0.85 with CMORPH. The mean monthly interannual values obtained were 0.90 with radar, 0.91 with PERSIANN, 0.92 with AWS and 0.95 with CMORPH. Therefore, it can be stated that the combination of the technological tools is a useful solution when little rainfall data is available, providing real-time automated processes that contribute to analyses and decision-making.

Keywords : Rainfall estimate; weather radar; weather satellite; CEQUEAU; PERSIANN; CMORPH; hydrological modeling.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )