.

Topographic quantitative analysis of the Salado river’s basin – Atacama Region – Chile

Authors

  • Keyla Manuela Alencar da Silva Alves universidad tecnológica metropolitana
  • Genisson Panta
  • Kleython de Araujo Monteiro
  • Drielly Fonseca
  • María Carolina Parod

DOI:

https://doi.org/10.21680/2447-3359.2023v9n2ID32348

Abstract

 Quantitative analysis of topographic-digital data is a fundamental step in structural geomorphological (modern tectonic) and dynamic geomorphological (mass movement) investigations. Initially, there were a limited number of standard algorithms for analyzing topographic data, including the widely used "Stream Profiler". Meanwhile, the digitization of many of the topographic analysis methods democratized access to such algorithms through the development of freely available open-source code. Flexible tools, such as TopoToolBox (TTB) and the Topographic Analysis Kit (TAK). TTB contains few products in its command set, however, it has unique functions that allow complex analysis on a regional scale. Already TAK allows the evaluation of a large amount of data in a short period. The objective of this study is to identify anomalous break points distributed in the drainage network. It is also proposed to investigate the drivers responsible for maintaining the spatial distribution pattern, such as lithological controls and incision pulse propagation. The main result obtained in this study is that there are several continuous and discrete breaks in the longitudinal profiles. Another fact about the spatial distribution of the breaks is that most of them occur in the proximity between tributary confluences and the entrenched valley of the collecting rivers.

Downloads

Download data is not yet available.

Published

06-10-2023

How to Cite

ALENCAR DA SILVA ALVES, K. M. .; GENISSON PANTA; MONTEIRO, K. de A. .; DRIELLY FONSECA; MARÍA CAROLINA PAROD. .: Topographic quantitative analysis of the Salado river’s basin – Atacama Region – Chile. Notheast Geoscience Journal, [S. l.], v. 9, n. 2, p. 110–119, 2023. DOI: 10.21680/2447-3359.2023v9n2ID32348. Disponível em: https://periodicos.ufrn.br/revistadoregne/article/view/32348. Acesso em: 27 jul. 2024.

Issue

Section

Artigos