Results: 3

Artificial Neural Networks for Filling Missing Streamflow Data in Rio do Carmo Basin, Minas Gerais, Brazil

Abstract Adequate availability of data directly influences the quality of hydrological studies. In this sense, procedures for filling gaps of observations are often applied in order to improve the length of hydrological series. One technique that can be used is the Artificial Neural Network (ANN), which ...

Hydrological calibration and validation of the MGB-IPH model for water resource management in the upper Teles Pires River basin in the Amazon-Cerrado ecotone in Brazil

Acta amaz; 49 (1), 2019
The upper Teles Pires River basin is located in the Brazilian agriculture frontier in the north of Mato Grosso state and has experienced significant changes in land use and cover, which can cause major changes in its hydrological dynamics. Climatic and hydrologic data are scarce in the region, which pose...

Calidad microbiológica del Río Grande de Térraba período 2002
Microbiological quiality of the River Grande de Térraba period 2002

La elaboración de un diagnóstico que permita tener una idea de la calidad de las aguas superficiales, que podrían se utilizadas en el desarrollo de las actividades humanas, es una iniciativa que debe desarrollarse lenta pero permanentemente. El personal del Laboratorio Nacional de Aguas de AyA (LNA) s...