Loading…

Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles

There has been a considerable number of studies focusing on the analysis of river long profiles based on stream power incision models aiming to detect areas affected by neotectonics. Most of these studies have successfully uncovered active tectonics in mountainous landscapes, with some examples in a...

Full description

Saved in:
Bibliographic Details
Published in:Journal of South American earth sciences 2020-06, Vol.100, p.102553, Article 102553
Main Authors: Alves, Fabio Corrêa, de Fátima Rossetti, Dilce, de Morisson Valeriano, Márcio
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563
cites cdi_FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563
container_end_page
container_issue
container_start_page 102553
container_title Journal of South American earth sciences
container_volume 100
creator Alves, Fabio Corrêa
de Fátima Rossetti, Dilce
de Morisson Valeriano, Márcio
description There has been a considerable number of studies focusing on the analysis of river long profiles based on stream power incision models aiming to detect areas affected by neotectonics. Most of these studies have successfully uncovered active tectonics in mountainous landscapes, with some examples in areas of low reliefs around the globe. However, this kind of investigation has rarely been used in large tropical lowlands, such as the Amazonian lowlands, where the application of river long profiles is still challenging. The main aim of the present work was to test the functionality of methods based on river profiles to detect neotectonic reliefs in lowland landscapes. The Negro River basin was selected for this investigation, assuming the several indications of tectonic activity during the late Pleistocene and Holocene. We tested the normalized channel steepness index (ksn), with the identification of knickpoints and interpretation of swath profiles, computed from the 30 m digital elevation model provided by the Shuttle Radar Topography Mission. The results showed streams with profiles bounded by a set of knickpoints represented by very low ksn values in the right (average ksn = 8) and left (average ksn = 10) margins of the Negro River. These values contrast with the high range of ksn values generally found for rivers of tectonically active mountainous landscapes. Even with low values, we verified that a slight increase in ksn values was enough to detect transient rivers related with strike slip faults in Amazonia lowlands. The swath profiles also showed sectors on relief compatible with changes in the base level of the tributaries, with the record of knickpoints and an increase in ksn values. The experimental results obtained in this work motivate further quantitative investigation in Amazonian lowlands by testing geological data with new robust techniques from river profiles. •SPIM have mostly been used to detect tectonics in mountainous landscapes.•However, testing these models to detect tectonics in lowland reliefs is needed.•We applied river profile analysis in an Amazonian region dominated by strike slip faults.•Tectonically controlled tributaries had elevation curves with base level lowering.•ksn values were low, with a slight increase in rivers nearby strike slip faults.
doi_str_mv 10.1016/j.jsames.2020.102553
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_jsames_2020_102553</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0895981120300663</els_id><sourcerecordid>S0895981120300663</sourcerecordid><originalsourceid>FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563</originalsourceid><addsrcrecordid>eNp9kEtOwzAQhi0EEqVwAxa5QIrt2Em8QarKU6rEBrZYjj1uHaVxZYeicnqchjWrGc3_0OhD6JbgBcGkvGsXbVQ7iAuK6XiinBdnaEbqqshxyapzNMO14LmoCblEVzG2GGNOBJ6hzwcYQA-u32Q9-HH1vdMxc302bCHr_HenehMzb7PlTv0kUSUh-K_N9mRQveqO0Z0MwR0gpEjq2gdvXQfxGl1Y1UW4-Ztz9PH0-L56yddvz6-r5TpXBRVDzrSuWaGphpJbw4uaVbrhQI2qmMa2bIwyjaXAK2EaIbC1AIYKZixTWPGymCM29ergYwxg5T64nQpHSbAcGclWTozkyEhOjFLsfopB-u3gIMioHfQajAsJhTTe_V_wC4ZldMo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles</title><source>ScienceDirect Freedom Collection</source><creator>Alves, Fabio Corrêa ; de Fátima Rossetti, Dilce ; de Morisson Valeriano, Márcio</creator><creatorcontrib>Alves, Fabio Corrêa ; de Fátima Rossetti, Dilce ; de Morisson Valeriano, Márcio</creatorcontrib><description>There has been a considerable number of studies focusing on the analysis of river long profiles based on stream power incision models aiming to detect areas affected by neotectonics. Most of these studies have successfully uncovered active tectonics in mountainous landscapes, with some examples in areas of low reliefs around the globe. However, this kind of investigation has rarely been used in large tropical lowlands, such as the Amazonian lowlands, where the application of river long profiles is still challenging. The main aim of the present work was to test the functionality of methods based on river profiles to detect neotectonic reliefs in lowland landscapes. The Negro River basin was selected for this investigation, assuming the several indications of tectonic activity during the late Pleistocene and Holocene. We tested the normalized channel steepness index (ksn), with the identification of knickpoints and interpretation of swath profiles, computed from the 30 m digital elevation model provided by the Shuttle Radar Topography Mission. The results showed streams with profiles bounded by a set of knickpoints represented by very low ksn values in the right (average ksn = 8) and left (average ksn = 10) margins of the Negro River. These values contrast with the high range of ksn values generally found for rivers of tectonically active mountainous landscapes. Even with low values, we verified that a slight increase in ksn values was enough to detect transient rivers related with strike slip faults in Amazonia lowlands. The swath profiles also showed sectors on relief compatible with changes in the base level of the tributaries, with the record of knickpoints and an increase in ksn values. The experimental results obtained in this work motivate further quantitative investigation in Amazonian lowlands by testing geological data with new robust techniques from river profiles. •SPIM have mostly been used to detect tectonics in mountainous landscapes.•However, testing these models to detect tectonics in lowland reliefs is needed.•We applied river profile analysis in an Amazonian region dominated by strike slip faults.•Tectonically controlled tributaries had elevation curves with base level lowering.•ksn values were low, with a slight increase in rivers nearby strike slip faults.</description><identifier>ISSN: 0895-9811</identifier><identifier>EISSN: 1873-0647</identifier><identifier>DOI: 10.1016/j.jsames.2020.102553</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Digital elevation model ; Knickpoint ; Normalized steepness index ; Remote sensing ; Transient landscape</subject><ispartof>Journal of South American earth sciences, 2020-06, Vol.100, p.102553, Article 102553</ispartof><rights>2020 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563</citedby><cites>FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Alves, Fabio Corrêa</creatorcontrib><creatorcontrib>de Fátima Rossetti, Dilce</creatorcontrib><creatorcontrib>de Morisson Valeriano, Márcio</creatorcontrib><title>Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles</title><title>Journal of South American earth sciences</title><description>There has been a considerable number of studies focusing on the analysis of river long profiles based on stream power incision models aiming to detect areas affected by neotectonics. Most of these studies have successfully uncovered active tectonics in mountainous landscapes, with some examples in areas of low reliefs around the globe. However, this kind of investigation has rarely been used in large tropical lowlands, such as the Amazonian lowlands, where the application of river long profiles is still challenging. The main aim of the present work was to test the functionality of methods based on river profiles to detect neotectonic reliefs in lowland landscapes. The Negro River basin was selected for this investigation, assuming the several indications of tectonic activity during the late Pleistocene and Holocene. We tested the normalized channel steepness index (ksn), with the identification of knickpoints and interpretation of swath profiles, computed from the 30 m digital elevation model provided by the Shuttle Radar Topography Mission. The results showed streams with profiles bounded by a set of knickpoints represented by very low ksn values in the right (average ksn = 8) and left (average ksn = 10) margins of the Negro River. These values contrast with the high range of ksn values generally found for rivers of tectonically active mountainous landscapes. Even with low values, we verified that a slight increase in ksn values was enough to detect transient rivers related with strike slip faults in Amazonia lowlands. The swath profiles also showed sectors on relief compatible with changes in the base level of the tributaries, with the record of knickpoints and an increase in ksn values. The experimental results obtained in this work motivate further quantitative investigation in Amazonian lowlands by testing geological data with new robust techniques from river profiles. •SPIM have mostly been used to detect tectonics in mountainous landscapes.•However, testing these models to detect tectonics in lowland reliefs is needed.•We applied river profile analysis in an Amazonian region dominated by strike slip faults.•Tectonically controlled tributaries had elevation curves with base level lowering.•ksn values were low, with a slight increase in rivers nearby strike slip faults.</description><subject>Digital elevation model</subject><subject>Knickpoint</subject><subject>Normalized steepness index</subject><subject>Remote sensing</subject><subject>Transient landscape</subject><issn>0895-9811</issn><issn>1873-0647</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEtOwzAQhi0EEqVwAxa5QIrt2Em8QarKU6rEBrZYjj1uHaVxZYeicnqchjWrGc3_0OhD6JbgBcGkvGsXbVQ7iAuK6XiinBdnaEbqqshxyapzNMO14LmoCblEVzG2GGNOBJ6hzwcYQA-u32Q9-HH1vdMxc302bCHr_HenehMzb7PlTv0kUSUh-K_N9mRQveqO0Z0MwR0gpEjq2gdvXQfxGl1Y1UW4-Ztz9PH0-L56yddvz6-r5TpXBRVDzrSuWaGphpJbw4uaVbrhQI2qmMa2bIwyjaXAK2EaIbC1AIYKZixTWPGymCM29ergYwxg5T64nQpHSbAcGclWTozkyEhOjFLsfopB-u3gIMioHfQajAsJhTTe_V_wC4ZldMo</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Alves, Fabio Corrêa</creator><creator>de Fátima Rossetti, Dilce</creator><creator>de Morisson Valeriano, Márcio</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202006</creationdate><title>Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles</title><author>Alves, Fabio Corrêa ; de Fátima Rossetti, Dilce ; de Morisson Valeriano, Márcio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Digital elevation model</topic><topic>Knickpoint</topic><topic>Normalized steepness index</topic><topic>Remote sensing</topic><topic>Transient landscape</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alves, Fabio Corrêa</creatorcontrib><creatorcontrib>de Fátima Rossetti, Dilce</creatorcontrib><creatorcontrib>de Morisson Valeriano, Márcio</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of South American earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alves, Fabio Corrêa</au><au>de Fátima Rossetti, Dilce</au><au>de Morisson Valeriano, Márcio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles</atitle><jtitle>Journal of South American earth sciences</jtitle><date>2020-06</date><risdate>2020</risdate><volume>100</volume><spage>102553</spage><pages>102553-</pages><artnum>102553</artnum><issn>0895-9811</issn><eissn>1873-0647</eissn><abstract>There has been a considerable number of studies focusing on the analysis of river long profiles based on stream power incision models aiming to detect areas affected by neotectonics. Most of these studies have successfully uncovered active tectonics in mountainous landscapes, with some examples in areas of low reliefs around the globe. However, this kind of investigation has rarely been used in large tropical lowlands, such as the Amazonian lowlands, where the application of river long profiles is still challenging. The main aim of the present work was to test the functionality of methods based on river profiles to detect neotectonic reliefs in lowland landscapes. The Negro River basin was selected for this investigation, assuming the several indications of tectonic activity during the late Pleistocene and Holocene. We tested the normalized channel steepness index (ksn), with the identification of knickpoints and interpretation of swath profiles, computed from the 30 m digital elevation model provided by the Shuttle Radar Topography Mission. The results showed streams with profiles bounded by a set of knickpoints represented by very low ksn values in the right (average ksn = 8) and left (average ksn = 10) margins of the Negro River. These values contrast with the high range of ksn values generally found for rivers of tectonically active mountainous landscapes. Even with low values, we verified that a slight increase in ksn values was enough to detect transient rivers related with strike slip faults in Amazonia lowlands. The swath profiles also showed sectors on relief compatible with changes in the base level of the tributaries, with the record of knickpoints and an increase in ksn values. The experimental results obtained in this work motivate further quantitative investigation in Amazonian lowlands by testing geological data with new robust techniques from river profiles. •SPIM have mostly been used to detect tectonics in mountainous landscapes.•However, testing these models to detect tectonics in lowland reliefs is needed.•We applied river profile analysis in an Amazonian region dominated by strike slip faults.•Tectonically controlled tributaries had elevation curves with base level lowering.•ksn values were low, with a slight increase in rivers nearby strike slip faults.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jsames.2020.102553</doi></addata></record>
fulltext fulltext
identifier ISSN: 0895-9811
ispartof Journal of South American earth sciences, 2020-06, Vol.100, p.102553, Article 102553
issn 0895-9811
1873-0647
language eng
recordid cdi_crossref_primary_10_1016_j_jsames_2020_102553
source ScienceDirect Freedom Collection
subjects Digital elevation model
Knickpoint
Normalized steepness index
Remote sensing
Transient landscape
title Detecting neotectonics in the lowlands of Amazonia through the analysis of river long profiles
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T06%3A57%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detecting%20neotectonics%20in%20the%20lowlands%20of%20Amazonia%20through%20the%20analysis%20of%20river%20long%20profiles&rft.jtitle=Journal%20of%20South%20American%20earth%20sciences&rft.au=Alves,%20Fabio%20Corr%C3%AAa&rft.date=2020-06&rft.volume=100&rft.spage=102553&rft.pages=102553-&rft.artnum=102553&rft.issn=0895-9811&rft.eissn=1873-0647&rft_id=info:doi/10.1016/j.jsames.2020.102553&rft_dat=%3Celsevier_cross%3ES0895981120300663%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a329t-4cc843c2ce65fd53847cb5e2da74c0f6bdadbf2e579db990ffeed294df4a0a563%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true