Morpho physiographic characterization of the Samambaia creek’s watershed, Goiânia-GO

Authors

  • Diogo Silva Pena Universidade Federal de Goiás
  • Fernando Rezende da Costa Universidade Federal de Goiás
  • Derblai Casaroli Universidade Federal de Goiás
  • Adão Wagner Pêgo Evangelista Universidade Federal de Goiás
  • Luciele Vaz da Silva Universidade Federal de Goiás

DOI:

https://doi.org/10.15361/1984-5529.2015v43n3p197-202

Keywords:

Uso e ocupação, morfometria, fisiografia

Abstract

Delimitation of watersheds and its morpho physiographic features are common practices used in hydrologic and environmental analysis. The aim of this paper was to analyze the Samambaia`s watershed and deter­mine its morpho physiographic characteristics and track modifications made on land use throughout the years. Altimetry data was provided by SRTM radar program, compiled in a GIS created to store, process and analyze all the available data. A digital elevation model (DEM) was created from the SRTM image and used to delimitate the watershed. Final analysis of the morpho physiographic characteristics showed that Samambaia’s watershed has a low propitious for floods. The region also showed  intensification of urban areas when considering the last 25 years (≈20%).

Author Biographies

Diogo Silva Pena, Universidade Federal de Goiás

Mestre em Agronomia

Fernando Rezende da Costa, Universidade Federal de Goiás

Mestre em Agronomia

Derblai Casaroli, Universidade Federal de Goiás

Prof. Dr. em Agronomia

Adão Wagner Pêgo Evangelista, Universidade Federal de Goiás

Prof. Dr. em Agronomia

Luciele Vaz da Silva, Universidade Federal de Goiás

Mestranda em Agronomia

Published

08/07/2015

How to Cite

PENA, D. S.; COSTA, F. R. da; CASAROLI, D.; EVANGELISTA, A. W. P.; SILVA, L. V. da. Morpho physiographic characterization of the Samambaia creek’s watershed, Goiânia-GO. Científica, Dracena, SP, v. 43, n. 3, p. 197–202, 2015. DOI: 10.15361/1984-5529.2015v43n3p197-202. Disponível em: https://cientifica.dracena.unesp.br/index.php/cientifica/article/view/714. Acesso em: 23 nov. 2024.

Issue

Section

Agrometeorology

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