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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2021
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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) |
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stream junctions remote sensing hydrological parameters sediment load mixing of tributaries Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
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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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