Sediment Retention Effect of Reservoirs and Microscale Surface Depressions

2021 ◽  
Author(s):  
Xinlan Liang ◽  
Zhixin Ye ◽  
Jiawei Feng ◽  
Hemou Li ◽  
Yong Wang
Keyword(s):  
Sediment Retention

WHAT CONTROLS SEDIMENT RETENTION IN A PROGRADING RIVER DELTA?

2018 ◽  
Author(s):  
Elizabeth Ann Olliver ◽  
◽  
Douglas A. Edmonds ◽  
John Shaw
Keyword(s):  
River Delta ◽  
Sediment Retention

scholarly journals LONG-TERM EVOLUTION OF SAND AND GRAVEL BEACHES ON THE MIYAZAKI COAST

2011 ◽  
Vol 1 (32) ◽  
pp. 57 ◽  
Author(s):  
Shinji Sato ◽  
Shun Kishimoto ◽  
Haruna Hiramatsu
Keyword(s):  
Long Term Evolution ◽  
Northern Region ◽  
Sand Transport ◽  
Sediment Retention ◽  
Sediment Size ◽  
Term Evolution ◽  
Severe Erosion ◽  
Steep Topography ◽  
Sand And Gravel

Long-term evolution of Miyazaki Coast was investigated in terms of four aspects, geology and geography, comparison of shoreline in available maps and photographs, sediment retention analysis in watershed scale and sediment size as well as luminescence measurements of foreshore sediments. Geological and geographical analysis revealed steep topography in northern part and fluvial plain on the southern part. The total rate of sediment retention in reservoirs was found to be as much as 1.9 million m3/year. Historical shoreline retreat in the recent 200 years was significant in the northern region whereas severe erosion was developed in the last decades on the southern region close to the rivermouths of the Hitotsuse River and the Ooyodo River. The sand grain size and the thermoluminescence intensity were both found to decrease from north to south, implying the dominant direction of longshore sand transport is from north to south.

Relating sediment supply to the morphological and hydro-meteorological characteristics of torrent catchments

2021 ◽  
Author(s):  
Maxime Morel ◽  
Guillaume Piton ◽  
Caroline Le Bouteiller ◽  
Alexandre Mas ◽  
Guillaume Evin
Keyword(s):  
Sediment Yield ◽  
Prediction Method ◽  
Original Data ◽  
Sediment Supply ◽  
Set Covering ◽  
Sediment Retention ◽  
Multivariate Statistical ◽  
Catchment Basin ◽  
Mountain Areas ◽  
Data Set

<p>In mountain areas, the quantification of sediment yield is essential in the diagnosis of a torrential watershed. The objective of this study is to present a prediction method based on multivariate statistical models calibrated from an original data set covering nearly 130 torrential basins in the Northern French Alps. Data on sediment yield and occurrence of torrential events were collected on these catchments thanks to registries from sediment retention basins (average monitoring period of 20 years) and historical archives of the catchment basin managers. On these catchments, several morphological and hydro-meteorological characteristics were calculated (e.g. geological and sediment connectivity indices, the rate of connected eroding areas in the catchment, the Melton index, the slope of the fan, etc.) in order to relate them to sediment production and the frequency of occurrence of torrential events. These models allow the estimation of quantiles of the sediment yield in small torrent catchments. These models could be useful to evaluate sediment yield and the occurrence of torrential events on catchment not equipped with sedimentation structures.</p>

scholarly journals Effects of plant traits and their divergence on runoff and sediment retention in herbaceous vegetation

2019 ◽  
Vol 441 (1-2) ◽  
pp. 511-524 ◽  
Author(s):  
Léa Kervroëdan ◽  
Romain Armand ◽  
Mathieu Saunier ◽  
Michel-Pierre Faucon
Keyword(s):  
Plant Traits ◽  
Sediment Retention ◽  
Herbaceous Vegetation

Nutrient concentration in sediments accumulated in pre-treatment basins of urban LID technologies

2019 ◽  
Vol 79 (5) ◽  
pp. 1000-1006 ◽  
Author(s):  
F. K. F. Geronimo ◽  
M. C. Maniquiz-Redillas ◽  
J. S. Hong ◽  
L. H. Kim
Keyword(s):  
Low Impact Development ◽  
Limiting Factor ◽  
Particle Sizes ◽  
Storm Events ◽  
Nutrient Reduction ◽  
Sediment Retention ◽  
The Difference ◽  
Pre Treatment ◽  
Sand And Gravel

Abstract In this study, the contribution of pre-treatment basins of low impact development (LID) technologies to nutrient reduction performance was evaluated by understanding the distribution of nutrient in sediments accumulated in each system. The captured sediments were mostly silt to medium sand ranging from 9% to 92% of the sediments collected. Greater average N and P concentrations were found in silt particles amounting to 345 mg/kg and 696 mg/kg, respectively compared to sand and gravel. Although, N concentrations in accumulated sediments were found to be highly variable at different particle sizes (CV: 0.24 to 0.77) compared to P concentration (CV: 0.08 to 0.36) attributed to effective P treatment mechanism through deposition compared to complex nitrogen removal mechanisms. In addition, the difference between N and P concentrations of sediments collected in the pre-treatment basins of LID technologies and in-situ soil was attributed to the continuous pollutant input to the LID technologies during storm events. The study proved that pre-treatment basins of stormwater LID technologies reinforced the nutrient removal performances through sediment retention. The findings of this research may be used to design pre-treatment basins of LID technologies considering nutrients as a limiting factor.

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