Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images

Downstream of the confluence of rivers, complex hydrological and morphological processes control the flow and sediment transport. This study aimed to analyze the spatio-temporal dynamics of suspended sediment in the confluence area of the Tisza and its main tributary Maros River using Sentinel-2 ima...

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Autores principales: Ahmed Mohsen, Ferenc Kovács, Gábor Mezősi, Tímea Kiss
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/95651ac826724af88bd1fbba0d817b60
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spelling oai:doaj.org-article:95651ac826724af88bd1fbba0d817b602021-11-11T19:58:21ZSediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images10.3390/w132131322073-4441https://doaj.org/article/95651ac826724af88bd1fbba0d817b602021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3132https://doaj.org/toc/2073-4441Downstream of the confluence of rivers, complex hydrological and morphological processes control the flow and sediment transport. This study aimed to analyze the spatio-temporal dynamics of suspended sediment in the confluence area of the Tisza and its main tributary Maros River using Sentinel-2 images and to reveal the correlation between the hydrological parameters and the mixing process through a relatively long period (2015–2021). The surficial suspended sediment dynamism was analyzed by applying K-means unsupervised classification algorithm on 143 images. The percentages of the Tisza (TW) and Maros (MW) waters and their mixture (MIX) were calculated and compared with the hydrological parameters in both rivers. The main results revealed that the areal, lateral, and longitudinal extensions of TW and MIX have a better correlation with the hydrological parameters than the MW. The Pearson correlation matrix revealed that the discharge ratio between the rivers controls the mixing process significantly. Altogether, 11 mixing patterns were identified in the confluence area throughout the studied period. The TW usually dominates the confluence in November and January, MW in June and July, and MIX in August and September. Predictive equations for the areal distribution of the three classes were derived to support future water sampling in the confluence area.Ahmed MohsenFerenc KovácsGábor MezősiTímea KissMDPI AGarticlestream junctionsremote sensinghydrological parameterssediment loadmixing of tributariesHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3132, p 3132 (2021)
institution DOAJ
collection DOAJ
language EN
topic stream junctions
remote sensing
hydrological parameters
sediment load
mixing of tributaries
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle stream junctions
remote sensing
hydrological parameters
sediment load
mixing of tributaries
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Ahmed Mohsen
Ferenc Kovács
Gábor Mezősi
Tímea Kiss
Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
description Downstream of the confluence of rivers, complex hydrological and morphological processes control the flow and sediment transport. This study aimed to analyze the spatio-temporal dynamics of suspended sediment in the confluence area of the Tisza and its main tributary Maros River using Sentinel-2 images and to reveal the correlation between the hydrological parameters and the mixing process through a relatively long period (2015–2021). The surficial suspended sediment dynamism was analyzed by applying K-means unsupervised classification algorithm on 143 images. The percentages of the Tisza (TW) and Maros (MW) waters and their mixture (MIX) were calculated and compared with the hydrological parameters in both rivers. The main results revealed that the areal, lateral, and longitudinal extensions of TW and MIX have a better correlation with the hydrological parameters than the MW. The Pearson correlation matrix revealed that the discharge ratio between the rivers controls the mixing process significantly. Altogether, 11 mixing patterns were identified in the confluence area throughout the studied period. The TW usually dominates the confluence in November and January, MW in June and July, and MIX in August and September. Predictive equations for the areal distribution of the three classes were derived to support future water sampling in the confluence area.
format article
author Ahmed Mohsen
Ferenc Kovács
Gábor Mezősi
Tímea Kiss
author_facet Ahmed Mohsen
Ferenc Kovács
Gábor Mezősi
Tímea Kiss
author_sort Ahmed Mohsen
title Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
title_short Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
title_full Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
title_fullStr Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
title_full_unstemmed Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images
title_sort sediment transport dynamism in the confluence area of two rivers transporting mainly suspended sediment based on sentinel-2 satellite images
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/95651ac826724af88bd1fbba0d817b60
work_keys_str_mv AT ahmedmohsen sedimenttransportdynamismintheconfluenceareaoftworiverstransportingmainlysuspendedsedimentbasedonsentinel2satelliteimages
AT ferenckovacs sedimenttransportdynamismintheconfluenceareaoftworiverstransportingmainlysuspendedsedimentbasedonsentinel2satelliteimages
AT gabormezosi sedimenttransportdynamismintheconfluenceareaoftworiverstransportingmainlysuspendedsedimentbasedonsentinel2satelliteimages
AT timeakiss sedimenttransportdynamismintheconfluenceareaoftworiverstransportingmainlysuspendedsedimentbasedonsentinel2satelliteimages
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