Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing

Ephemeral rivers in the Mediterranean region have been exposed to significant human disturbance over the last century. Recently, there has been a growing interest in restoring their morpho-sedimentary condition, backed by the European Water Framework Directive. Previous research has highlighted the...

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Authors: Rabanaque, María Pilar, Martínez-Fernández, Vanesa, Calle, Mikel, Castillo, Olegario, Benito, Gerardo
Format: article
Status:Published version
Publication Date:2024
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/388178
Online Access:http://hdl.handle.net/10261/388178
Access Level:Open access
Keyword:River recovery
Gravel mining
Ephemeral river
Sediment connectivity
Machine learning
Automatic segmentation
http://metadata.un.org/sdg/6
Ensure availability and sustainable management of water and sanitation for all
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oai_identifier_str oai:digital.csic.es:10261/388178
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
title Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
spellingShingle Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
Rabanaque, María Pilar
River recovery
Gravel mining
Ephemeral river
Sediment connectivity
Machine learning
Automatic segmentation
http://metadata.un.org/sdg/6
Ensure availability and sustainable management of water and sanitation for all
title_short Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
title_full Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
title_fullStr Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
title_full_unstemmed Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
title_sort Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing
dc.creator.none.fl_str_mv Rabanaque, María Pilar
Martínez-Fernández, Vanesa
Calle, Mikel
Castillo, Olegario
Benito, Gerardo
author Rabanaque, María Pilar
author_facet Rabanaque, María Pilar
Martínez-Fernández, Vanesa
Calle, Mikel
Castillo, Olegario
Benito, Gerardo
author_role author
author2 Martínez-Fernández, Vanesa
Calle, Mikel
Castillo, Olegario
Benito, Gerardo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Dirección General del Agua (España)
Hydro-RDI-Network
Ministerio de Ciencia e Innovación (España)
Turku Collegium for Science, Medicine and Technology
Academy of Finland
Federación Española de Enfermedades Raras
Agencia Estatal de Investigación (España)
Ministerio para la Transición Ecológica y el Reto Demográfico (España)
Rabanaque, María Pilar [0000-0002-6551-9351]
Benito, Gerardo [0000-0003-0724-1790]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv River recovery
Gravel mining
Ephemeral river
Sediment connectivity
Machine learning
Automatic segmentation
http://metadata.un.org/sdg/6
Ensure availability and sustainable management of water and sanitation for all
topic River recovery
Gravel mining
Ephemeral river
Sediment connectivity
Machine learning
Automatic segmentation
http://metadata.un.org/sdg/6
Ensure availability and sustainable management of water and sanitation for all
description Ephemeral rivers in the Mediterranean region have been exposed to significant human disturbance over the last century. Recently, there has been a growing interest in restoring their morpho-sedimentary condition, backed by the European Water Framework Directive. Previous research has highlighted the severe geomorphic impacts of sediment extraction, such as reduced channel width and riverbed incision, but the recovery of these channels during annual flows remains poorly understood. This study presents a methodological framework to investigate geomorphologic recovery (signs of landform change) and constraints in the Rambla de Cervera (eastern Spain) from 2018 to 2021. Aerial imagery, LiDAR topography, and field surveys were used for stream segmentation, fluvial landform classification, temporal landform change, and comparison with flow characteristics from a 2D hydraulic model. The study identified three groups of segments with different channel types and recovery mechanisms. Upstream (G1), unconfined valley settings showed minor changes, indicating morphological stability. Middle segments in confined valleys (G2) showed greater alluvial channel recovery and vegetation encroachment in response to flood/no-flood periods. Downstream segments (G3), incised on cemented gravel, were highly responsive to floods but lacked landform stability due to high energy conditions. The findings suggest that channel recovery during annual floods is slow and occurs mainly downstream in degraded areas (G3). Increased sediment flux from upstream and additional sediment storage in new forms are required to recover these channels. This analysis underscores the challenge of interpreting short-term morpho-dynamic changes for long-term river recovery, but provides insight into the morpho-sedimentary conditions required to accelerate recovery of ephemeral streams.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/388178
url http://hdl.handle.net/10261/388178
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/MCIN/AEI/10.13039
info:eu-repo/grantAgreement/MCIN/AEI/10.13039
info:eu-repo/grantAgreement/MITERD/DGA/MNCN-CSIC 20223TE002
info:eu-repo/grantAgreement/PRE2018-086771//
https://doi.org/10.1016/j.geomorph.2024.109069
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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spelling Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processingRabanaque, María PilarMartínez-Fernández, VanesaCalle, MikelCastillo, OlegarioBenito, GerardoRiver recoveryGravel miningEphemeral riverSediment connectivityMachine learningAutomatic segmentationhttp://metadata.un.org/sdg/6Ensure availability and sustainable management of water and sanitation for allEphemeral rivers in the Mediterranean region have been exposed to significant human disturbance over the last century. Recently, there has been a growing interest in restoring their morpho-sedimentary condition, backed by the European Water Framework Directive. Previous research has highlighted the severe geomorphic impacts of sediment extraction, such as reduced channel width and riverbed incision, but the recovery of these channels during annual flows remains poorly understood. This study presents a methodological framework to investigate geomorphologic recovery (signs of landform change) and constraints in the Rambla de Cervera (eastern Spain) from 2018 to 2021. Aerial imagery, LiDAR topography, and field surveys were used for stream segmentation, fluvial landform classification, temporal landform change, and comparison with flow characteristics from a 2D hydraulic model. The study identified three groups of segments with different channel types and recovery mechanisms. Upstream (G1), unconfined valley settings showed minor changes, indicating morphological stability. Middle segments in confined valleys (G2) showed greater alluvial channel recovery and vegetation encroachment in response to flood/no-flood periods. Downstream segments (G3), incised on cemented gravel, were highly responsive to floods but lacked landform stability due to high energy conditions. The findings suggest that channel recovery during annual floods is slow and occurs mainly downstream in degraded areas (G3). Increased sediment flux from upstream and additional sediment storage in new forms are required to recover these channels. This analysis underscores the challenge of interpreting short-term morpho-dynamic changes for long-term river recovery, but provides insight into the morpho-sedimentary conditions required to accelerate recovery of ephemeral streams.The research conducted in this study was funded by the Ministry of Science and Innovation through the EPHIDREAMS project (PID2020-116537RBI00), funded by the Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033, co-financed with FEDER funds, and by the General Water Directorate (DGA) of the MITERD (Grant MNCN-CSIC 20223TE002). M.P. Rabanaque was funded by contracts from the Spanish Ministry of Science and Innovation, namely from the PhD FPI programme (PRE2018-086771). M. Calle was partially financed by the EPHIDREAMS project, Turku Collegium of Science, Medicine and Technology (TCSMT) and Hydro-RDI-Network, Academy of Finland funding ID: 337279. This work is part of the CSIC-PTI TELEDETECT activity. This article is a contribution of the Hydrology and Climate Change Laboratory (www.floodsresearch.com; Twitter: floods_research; Instragram: @floods_research). Finally, the authors would like to thank the editor and the two reviewers for their helpful suggestions.Peer reviewedElsevier BVDirección General del Agua (España)Hydro-RDI-NetworkMinisterio de Ciencia e Innovación (España)Turku Collegium for Science, Medicine and TechnologyAcademy of FinlandFederación Española de Enfermedades RarasAgencia Estatal de Investigación (España)Ministerio para la Transición Ecológica y el Reto Demográfico (España)Rabanaque, María Pilar [0000-0002-6551-9351]Benito, Gerardo [0000-0003-0724-1790]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/388178reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MCIN/AEI/10.13039info:eu-repo/grantAgreement/MCIN/AEI/10.13039info:eu-repo/grantAgreement/MITERD/DGA/MNCN-CSIC 20223TE002info:eu-repo/grantAgreement/PRE2018-086771//https://doi.org/10.1016/j.geomorph.2024.109069Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3881782026-05-22T06:33:51Z
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