Indicators of suspended sediment transport dynamics in rivers
Suspended sediment (SS) is a natural component of rivers, but elevated SS concentrations (SSCs) can impact aquatic ecosystems and engineering infrastructures. However, a significant gap remains in predicting SSC dynamics, which are influenced by catchment and climate factors that control sediment er...
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Format: | Article |
Language: | English |
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IWA Publishing
2023-08-01
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Series: | Hydrology Research |
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Online Access: | http://hr.iwaponline.com/content/54/8/978 |
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author | Jae hun Shin Robert C. Grabowski Ian Holman |
author_facet | Jae hun Shin Robert C. Grabowski Ian Holman |
author_sort | Jae hun Shin |
collection | DOAJ |
description | Suspended sediment (SS) is a natural component of rivers, but elevated SS concentrations (SSCs) can impact aquatic ecosystems and engineering infrastructures. However, a significant gap remains in predicting SSC dynamics, which are influenced by catchment and climate factors that control sediment erosion, transport and deposition. The research aim is to develop and apply new SS transport dynamics indicators to determine how SSC varies spatially and temporally at a continental scale. Daily SSC data (mg/l) from 1,425 gauging stations in the US were used to calculate indicators of magnitude, frequency and timing (MFT). A filtering approach was applied to calculate frequency indicators that capture SSC events of differing durations. Spatial patterns in indicators were examined and integrated using K-means clustering. High SSC was identified at sites in dry and mountainous regions, but longer-duration SSC events were found in the northern US. The western coastal region and Puerto Rico had consistent timings of high SSC (winter and autumn, respectively). SSC magnitude had a decreasing trend over time across most of the US, but increasing trends were identified for the duration of SSC events. The use of MFT indicators is recommended for future studies to support prediction of climate change impacts on SSC.
HIGHLIGHTS
Short-term variations in suspended sediment concentrations (SSCs) in rivers studied with new indicators.;
High-magnitude SSC was found in mountainous and dry regions and longer SSC events in the Upper Midwest.;
An increasing trend in the duration of SSC events was found, despite decreasing SSC magnitude.;
M95, rising rate, and duration and timing of SSC events (α = 0.6) are recommended as indicators for future studies.; |
first_indexed | 2024-03-12T01:45:29Z |
format | Article |
id | doaj.art-793b4d916b4246fba2508c826043dab6 |
institution | Directory Open Access Journal |
issn | 1998-9563 2224-7955 |
language | English |
last_indexed | 2024-03-12T01:45:29Z |
publishDate | 2023-08-01 |
publisher | IWA Publishing |
record_format | Article |
series | Hydrology Research |
spelling | doaj.art-793b4d916b4246fba2508c826043dab62023-09-09T08:05:05ZengIWA PublishingHydrology Research1998-95632224-79552023-08-0154897899410.2166/nh.2023.068068Indicators of suspended sediment transport dynamics in riversJae hun Shin0Robert C. Grabowski1Ian Holman2 School of Water, Energy and Environment, Cranfield University, College Road, Cranfield MK43 0AL, UK School of Water, Energy and Environment, Cranfield University, College Road, Cranfield MK43 0AL, UK School of Water, Energy and Environment, Cranfield University, College Road, Cranfield MK43 0AL, UK Suspended sediment (SS) is a natural component of rivers, but elevated SS concentrations (SSCs) can impact aquatic ecosystems and engineering infrastructures. However, a significant gap remains in predicting SSC dynamics, which are influenced by catchment and climate factors that control sediment erosion, transport and deposition. The research aim is to develop and apply new SS transport dynamics indicators to determine how SSC varies spatially and temporally at a continental scale. Daily SSC data (mg/l) from 1,425 gauging stations in the US were used to calculate indicators of magnitude, frequency and timing (MFT). A filtering approach was applied to calculate frequency indicators that capture SSC events of differing durations. Spatial patterns in indicators were examined and integrated using K-means clustering. High SSC was identified at sites in dry and mountainous regions, but longer-duration SSC events were found in the northern US. The western coastal region and Puerto Rico had consistent timings of high SSC (winter and autumn, respectively). SSC magnitude had a decreasing trend over time across most of the US, but increasing trends were identified for the duration of SSC events. The use of MFT indicators is recommended for future studies to support prediction of climate change impacts on SSC. HIGHLIGHTS Short-term variations in suspended sediment concentrations (SSCs) in rivers studied with new indicators.; High-magnitude SSC was found in mountainous and dry regions and longer SSC events in the Upper Midwest.; An increasing trend in the duration of SSC events was found, despite decreasing SSC magnitude.; M95, rising rate, and duration and timing of SSC events (α = 0.6) are recommended as indicators for future studies.;http://hr.iwaponline.com/content/54/8/978box statisticsconterminous usmagnitudefrequency and timing (mft)k-means clusteringmagnitudesuspended sediment dynamics indicators |
spellingShingle | Jae hun Shin Robert C. Grabowski Ian Holman Indicators of suspended sediment transport dynamics in rivers Hydrology Research box statistics conterminous us magnitude frequency and timing (mft) k-means clustering magnitude suspended sediment dynamics indicators |
title | Indicators of suspended sediment transport dynamics in rivers |
title_full | Indicators of suspended sediment transport dynamics in rivers |
title_fullStr | Indicators of suspended sediment transport dynamics in rivers |
title_full_unstemmed | Indicators of suspended sediment transport dynamics in rivers |
title_short | Indicators of suspended sediment transport dynamics in rivers |
title_sort | indicators of suspended sediment transport dynamics in rivers |
topic | box statistics conterminous us magnitude frequency and timing (mft) k-means clustering magnitude suspended sediment dynamics indicators |
url | http://hr.iwaponline.com/content/54/8/978 |
work_keys_str_mv | AT jaehunshin indicatorsofsuspendedsedimenttransportdynamicsinrivers AT robertcgrabowski indicatorsofsuspendedsedimenttransportdynamicsinrivers AT ianholman indicatorsofsuspendedsedimenttransportdynamicsinrivers |