4.5 Article

A statistical-based reach scale classification for the lower Tapajos river channel, eastern Amazonia

Journal

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0309133320981550

Keywords

Fluvial rias; geomorphometry; statistical classification; Amazon

Funding

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES/PROAP) [001]
  2. National Council for Scientific and Technological Development (CNPq, Brazil) [302411/2018-6, 311606/2019-9]

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The Tapajos river, one of the largest in the world, has been credited as the main affluent of the lower Amazon River. Research focuses on evolutionary, hydrological, and sedimentological issues. This study proposes a channel classification system for the lower Tapajos based on morphometric variables, using discriminant analysis of principal components to provide a geomorphological classification. Different reaches of the channel exhibit distinct morphological patterns and hydrological and sedimentological variations, with implications on the ria's evolution and water resources management strategies.
The Tapajos river is among the largest rivers in the world and has been credited as the main affluent of the lower Amazon River. Geomorphological studies in the Tapajos commonly deal with evolutionary, hydrological, and sedimentological issues. Recently, important advances have been made in understanding the morphology and dynamics in the Tapajos, especially in the confluence zone near Santarem, eastern Amazonian Brazil. However, the lack of an independent channel classification system makes it difficult to integrate data obtained from different sources. This work presents a classification system for the lower Tapajos based on morphometric variables extracted from transversal profiles coupled with radar and optical remote sensing data. We used discriminant analysis of principal components for the first time in fluvial geomorphology to provide a clustering-based geomorphological classification, which is statistically supported. We propose a segmentation of the channel into three distinct sections referred to as narrower channel reach, higher ria reach, and lower ria reach. The results showed that the channel has a distinct morphological pattern in each of these reaches, which can also be observed by the variation along the longitudinal profile. Our findings showed that the most variable hydrological and sedimentological patterns are found in the lower ria reach, while the higher ria reach comprises a canyon-shaped, more stable part of the channel. We discuss the implications of this pattern on the ria's evolution. The method developed here could be applied to other areas of the Amazon basin, where the lack of data and logistical difficulties carrying out fieldwork are common obstacles to large-scale investigations. The identified reaches are indended to be considered in the sample design of future works and in the formulation of water resources management strategies.

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