Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)

High-resolution topographic models have revolutionized monitoring of river changes by comparing sequential river topographic surveys (i.e. change detection). Nevertheless, much more may be obtained from this innovative quantification of changes. In this paper, we enhance the interpretation of geomor...

Descripción completa

Detalles Bibliográficos
Autores: Calle, Mikel, Calle, Javier, Alho, Petteri, Benito, Gerardo
Tipo de recurso: conjunto de datos
Fecha de publicación:2020
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/133744
Acceso en línea:https://hdl.handle.net/20.500.14352/133744
Access Level:acceso abierto
Palabra clave:551.312.3
Functional connectivity
Change detection
SfM-MVS
Transport distance
Hydromorphological assessment
Hidrología
2506.07 Geomorfología
id ES_77124c5ec1a84a35652bb6e0f23b830e
oai_identifier_str oai:docta.ucm.es:20.500.14352/133744
network_acronym_str ES
network_name_str España
repository_id_str
spelling Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)Calle, MikelCalle, JavierAlho, PetteriBenito, Gerardo551.312.3Functional connectivityChange detectionSfM-MVSTransport distanceHydromorphological assessmentHidrología2506.07 GeomorfologíaHigh-resolution topographic models have revolutionized monitoring of river changes by comparing sequential river topographic surveys (i.e. change detection). Nevertheless, much more may be obtained from this innovative quantification of changes. In this paper, we enhance the interpretation of geomorphic processes by presenting a new method for understanding of sources and sinks of sediment, river sediment transfers and functional sediment connectivity. Repeat digital elevation models (DEMs) obtained by photogrammetry were used to quantify topographic change after two floods by creating a DEM of difference (DoD) of a 6.5 km-long reach of Rambla de la Viuda stream, an ephemeral gravel-bed river in eastern Spain. The proposed method involved dividing the channel into 10 m-long longitudinal strips that were used to systematically draw boundaries between the erosional and depositional areas of the DoD. The analysis objectively: (i) drew a series of erosional and depositional segments, from 120 to 1360 m in length; (ii) estimated ranges of source-to-storage sediment transport distances, 320–670 m in the upstream and middle reaches and up to 2030 m in the lower reach; and (iii) obtained values of functional connectivity (i.e. the ratio between the sediment exported (erosion) and retained (deposition), ranging from 103 to 10−3). The variability in these three parameters along the river was found to be related to the level of channel disturbance by in-stream mining during the 1990s and 2000s. Additionally, this method indicates that the main process responsible for self-adjustment of the present morphosedimentary conditions is intra-reach erosion of banks and channel beds. Thus, this study proposes a new methodology to characterize morphological change, sediment transfer and connectivity that may serve as environmental indicators of the hydromorphological integrity of rivers with potential application to the European Water Framework Directive.WileyUniversidad Complutense de Madrid20202020-01-1320202020-01-13datasethttp://purl.org/coar/resource_type/c_ddb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/datasetapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttps://hdl.handle.net/20.500.14352/133744reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1337442026-06-02T12:44:21Z
dc.title.none.fl_str_mv Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
title Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
spellingShingle Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
Calle, Mikel
551.312.3
Functional connectivity
Change detection
SfM-MVS
Transport distance
Hydromorphological assessment
Hidrología
2506.07 Geomorfología
title_short Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
title_full Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
title_fullStr Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
title_full_unstemmed Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
title_sort Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys (supporting information)
dc.creator.none.fl_str_mv Calle, Mikel
Calle, Javier
Alho, Petteri
Benito, Gerardo
author Calle, Mikel
author_facet Calle, Mikel
Calle, Javier
Alho, Petteri
Benito, Gerardo
author_role author
author2 Calle, Javier
Alho, Petteri
Benito, Gerardo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 551.312.3
Functional connectivity
Change detection
SfM-MVS
Transport distance
Hydromorphological assessment
Hidrología
2506.07 Geomorfología
topic 551.312.3
Functional connectivity
Change detection
SfM-MVS
Transport distance
Hydromorphological assessment
Hidrología
2506.07 Geomorfología
description High-resolution topographic models have revolutionized monitoring of river changes by comparing sequential river topographic surveys (i.e. change detection). Nevertheless, much more may be obtained from this innovative quantification of changes. In this paper, we enhance the interpretation of geomorphic processes by presenting a new method for understanding of sources and sinks of sediment, river sediment transfers and functional sediment connectivity. Repeat digital elevation models (DEMs) obtained by photogrammetry were used to quantify topographic change after two floods by creating a DEM of difference (DoD) of a 6.5 km-long reach of Rambla de la Viuda stream, an ephemeral gravel-bed river in eastern Spain. The proposed method involved dividing the channel into 10 m-long longitudinal strips that were used to systematically draw boundaries between the erosional and depositional areas of the DoD. The analysis objectively: (i) drew a series of erosional and depositional segments, from 120 to 1360 m in length; (ii) estimated ranges of source-to-storage sediment transport distances, 320–670 m in the upstream and middle reaches and up to 2030 m in the lower reach; and (iii) obtained values of functional connectivity (i.e. the ratio between the sediment exported (erosion) and retained (deposition), ranging from 103 to 10−3). The variability in these three parameters along the river was found to be related to the level of channel disturbance by in-stream mining during the 1990s and 2000s. Additionally, this method indicates that the main process responsible for self-adjustment of the present morphosedimentary conditions is intra-reach erosion of banks and channel beds. Thus, this study proposes a new methodology to characterize morphological change, sediment transfer and connectivity that may serve as environmental indicators of the hydromorphological integrity of rivers with potential application to the European Water Framework Directive.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-13
2020
2020-01-13
dc.type.none.fl_str_mv dataset
http://purl.org/coar/resource_type/c_ddb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/133744
url https://hdl.handle.net/20.500.14352/133744
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411096466554880
score 15.198674