scholarly journals Karateristik Distribusi Sedimen Suspensi pada Sungai Alami Menggunakan Persamaan Rouse

2020 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Rahmat Bangun Giarto ◽  
Bambang Agus Kironoto ◽  
Bambang Yulistiyanto ◽  
Totok Sulistyo
Keyword(s):  
Suspended Sediment Concentration ◽  
Stream Water ◽  
Sediment Concentration ◽  
Suspended Load ◽  
Bed Load ◽  
Sediment Suspension ◽  
Suspension Concentration ◽  
Sediment Transportation ◽  
Measurement Tools ◽  
Two Parameters

Angkutan sedimen suspensi merupakan permasalah yang kerap terjadi pada sungai alami dan dapat mengakibatkan pendangkalan pada sungai. Aliran air yang tercampur dengan sedimen berbutir kasar (bed load) akan lebih cepat mengendap dibandingkan dengan sedimen berbutir halus (suspended load) yang akan terangkut mengikuti aliran sungai. Hal ini dapat mengakibatkan berkurangnya kualitas dan kuantitas dalam pemanfaatan air di sungai. Penelitian dilakukan dengan cara mengukur kecepatan dan konsentrasi sedimen suspensi menggunakan dua parameter yaitu pengukuran arah vertikal dan pengukuran arah transversal. Pengukuran menggunakan metode Point Itegrated Sampling (PIS). Opcon Probe digunakan untuk mengukur konsentrasi sedimen suspensi sedangkan propeller currentmeter digunakan untuk pengukuran kecepatan aliran. Pada saat pelaksanaan pengamatan kedua alat ukur tersebut dimasukkan kedalam air yang mengalir pada tampang melintang di sungai. Konsentrasi sedimen suspensi mengalami peningkatan saat  mendekati dasar sungai dan mengalami penurunan saat mendekati permukaan sungai. Persamaan Rouse dapat digunakan dalam mempredisksi distribusi sedimen suspensi pada tengah sungai, sedangkan untuk arah transversal atau posisi tidak ditengah sungai (0,5B) seperti di tepi sungai profil distribusi konsentrasi sedimen suspensi tidak cukup baik untuk memprediksi distribusi konsentrasi sedimen suspensi  dengan persamaan Rouse. Diperlukan faktor koreksi β untuk memprediksi distribusi konsentrasi sedimen suspensi pada tepi sungai dengan nilai faktor koreksi β > 1.Suspension sediment transportation is the problem which is frequently occurs in the bottom of natural rivers, and it sometimes causes rivers shallowing. The mixing between water and coarse grain sediment or bed load will settle down faster rather than finer grain sediment or suspended load that will be transported further by stream water. Due of those can reduce both quality and quantity of river water. This research was conducted by measurement of sediment suspension concentration using two parameters which are vertical and transversal measurement. Point Integrated Sampling was employed in the measurement processes. Opcon probe was used to measure suspended sediment concentration meanwhile the propeller current meter was used to measure water velocity. In the implementation and observation both of measurement tools was drowned in the flowing water, in position  the cross section of rivers. Closer to the rivers bottom, the sediment suspension concentration is increased in the contrary it is decreased in concentration close to the surface. Rouse equation is able to predict the distribution of sediment suspension in the middle of the river, and when the transversal direction or location is not in the middle of river (0.5B) such as in the river profile side, Rouse equation is not good enough to predict the distribution of sediment suspension concentration. The correction factor (β) is needed in predicting concentration  of sediment suspension in rivers side, where  β > 1.

scholarly journals Sediment Transport During an Outburst from Glacier De Tsidjiore Nouve, Switzerland, 16–19 June 1981

1983 ◽  
Vol 29 (101) ◽  
pp. 185-190 ◽  
Author(s):  
Ian Beecroft
Keyword(s):  
Sediment Transport ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Sediment Concentration ◽  
Bed Load ◽  
Stream Discharge ◽  
Large Water

AbstractBetween 16 and 19 June 1981 a large water pocket of volume 183 000 m3 burst from glacier de Tsidjiore Nouve. From hourly stream discharge and suspended sediment concentration observations a suspended sediment output of 1 674 × 103 kg was calculated. The transport of bed-load was estimated at 3 840 × 103 kg, hence a total quantity of around 5 500 × 103 kg of sediment were removed from the catchment, including the pro-glacial field, in the four days of the outburst.

scholarly journals CALCULATION OF THE RATE OF NET ON-OFFSHORE SEDIMENT TRANSPORT ON THE BASIS OF FLUX CONCEPT

1984 ◽  
Vol 1 (19) ◽  
pp. 91 ◽  
Author(s):  
Ichiro Deguchi ◽  
Toru Sawaragi
Keyword(s):  
Sediment Transport ◽  
Water Depth ◽  
Sediment Concentration ◽  
Suspended Load ◽  
Spatial Variations ◽  
Sediment Flux ◽  
Bed Load ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Two Dimensional Model

Time and spatial variations of sediment concentration of both bed load and suspended load in the process of two-dimensional beach deformation were investigated experimentally. At the same time, the relation between the velocities of water-particle and sediment migration was analyzed theoretically. By using those results,a net rate of on-offshore sediment_ transport in the process of two-dimensional model beach deformation qf was calculated on the basis of sediment flux. It is found that Qf coincides fairly well with .the net rate of on-offshore sediment transport calculated from the change of water depth.

scholarly journals VARIATION OF SEDIMENT SUSPENSION IN OSCILLATORY FLOW

1984 ◽  
Vol 1 (19) ◽  
pp. 155 ◽  
Author(s):  
Carsten Staub ◽  
Ivar G. Jonsson ◽  
Ib A. Svendsen
Keyword(s):  
Oscillatory Flow ◽  
Sediment Concentration ◽  
Suspended Load ◽  
Water Tunnel ◽  
Sediment Suspension ◽  
Suction Tube ◽  
The Mean ◽  
Characteristic Features ◽  
Mean Concentration ◽  
Different Levels

Different syphon type suspended load probes were used together with a newly developed 'carousel' sampler for measurements of the instantaneous sediment concentration in turbulent oscillatory flow over a sand bed. Shields parameters were well above the rippled/flat bed transition region, resulting in intense sediment transport over a flat bed. The measurements were performed at different levels in a large oscillating water tunnel. They showed some characteristic features of the temporal concentration variation and of the variation with height of the mean concentration. Also a pronounced effect of the orientation of the suction tube relative to the flow was observed.

scholarly journals Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam)

2018 ◽  
Vol 10 (11) ◽  
pp. 1841 ◽  
Author(s):  
Quang Pham ◽  
Nguyen Ha ◽  
Nima Pahlevan ◽  
La Oanh ◽  
Thanh Nguyen ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Suspended Sediment Concentration ◽  
Atmospheric Correction ◽  
Sediment Concentration ◽  
Suspended Load ◽  
Red River ◽  
Landsat 8 ◽  
Band Ratio ◽  
Radiometric Data

Analyzing the trends in the spatial distribution of suspended sediment concentration (SSC) in riverine surface water enables better understanding of the hydromorphological properties of its watersheds and the associated processes. Thus, it is critical to identify an appropriate method to quantify spatio-temporal variability in SSC. This study aims to estimate SSC in a highly turbid river, i.e., the Red River in Northern Vietnam, using Landsat 8 (L8) images. To do so, in situ radiometric data together with SSC at 60 sites along the river were measured on two different dates during the dry and wet seasons. Analyses of the in situ data indicated strong correlations between SSC and the band-ratio of green and red channels, i.e., r-squared = 0.75 and a root mean square error of ~0.3 mg/L. Using a subsample of in situ radiometric data (n = 30) collected near-concurrently with one L8 image, four different atmospheric correction methods were evaluated. Although none of the methods provided reasonable water-leaving reflectance spectra (ρw), it was found that the band-ratio of the green-red ratio is less sensitive to uncertainties in the atmospheric correction for mapping SSC compared to individual bands. Therefore, due to its ease of access, standard L8 land surface reflectance products available via U.S. Geological Survey web portals were utilized. With the empirical relationship derived, we produced Landsat-derived SSC distribution maps for a few images collected in wet and dry seasons within the 2013–2017 period. Analyses of image products suggest that (a) the Thao River is the most significant source amongst the three major tributaries (Lo, Da and Thao rivers) providing suspended load to the Red River, and (b) the suspended load in the rainy season is nearly twice larger than that in the dry season, and it correlates highly with the runoff (correlation coefficient = 0.85). Although it is demonstrated that the atmospheric correction in tropical areas over these sediment-rich waters present major challenges in the retrievals of water-leaving reflectance spectra, the study signifies the utility of band-ratio techniques for quantifying SSC in highly turbid river waters. With Sentinel-2A/B data products combined with those of Landsat-8, it would be possible to capture temporal variability in major river systems in the near future.

scholarly journals Suspended sediment in lowland rivers – towards identifying the ratios of mineral and organic components and their variation during the year

Geologos ◽  
2021 ◽  
Vol 27 (3) ◽  
pp. 173-180
Author(s):  
Katarzyna Skolasińska
Keyword(s):  
Environmental Factors ◽  
Suspended Sediment ◽  
Individual Component ◽  
Suspended Sediment Concentration ◽  
Sediment Concentration ◽  
Lowland Rivers ◽  
Spatial And Temporal Scales ◽  
Suspension Concentration ◽  
Organic Components ◽  
The Impact

Abstract Concentrations of suspended sediment transported by rivers are influenced by interactions between multiple drivers that act on a range of spatial and temporal scales. Such levels vary over the year, as well as across multi-year periods. Most conventional approaches to determining suspended load are based upon analyses of total suspended sediment concentration (SSC), i.e., the sum of mineral and organic matter. This approach makes it difficult, if not impossible, to determine the impact of multiple environmental factors on changes in suspension concentration precisely. The present paper focuses on the mineral and organic components of suspended sediment with the aim of determining how our knowledge of the share of each individual component can improve interpretations of SSC fluctuations during a hydro-logical year. The analysis conducted (personal and other researchers’ results) has shown that mineral and organic suspensions demonstrate mutually incompatible opposite trends under influence of environmental factors. This analysis of organic components identifies clear seasonal trends, which indicates that organic suspensions of autogenous origin have a strong influence on the dynamics of changes in suspension concentration; such analyses are rarely included in assessments of SSC dynamics.

scholarly journals Investigation of Ship-Induced Hydrodynamics and Sediment Suspension in a Heavy Shipping Traffic Waterway

2020 ◽  
Vol 8 (6) ◽  
pp. 424
Author(s):  
Lilei Mao ◽  
Yimei Chen
Keyword(s):  
Shear Stress ◽  
Flow Velocity ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Wave Structure ◽  
Sediment Concentration ◽  
Secondary Wave ◽  
Sediment Suspension ◽  
Bottom Shear Stress ◽  
Shipping Traffic

In order to investigate the complex hydrodynamics and associated sediment movement resulting from the ship passages in heavy shipping traffic waterways, field measurements were performed in a heavy shipping traffic waterway. Based on the collected waves, flow velocity and water turbidity data, the analyses of the ship-induced hydrodynamics and associated sediment suspension phenomena were conducted. The low-frequency primary wave and high-frequency secondary wave were more pronounced for a barge and yacht in the wave structure, respectively, and contributed more to the flow velocity fluctuations and the bottom shear stress. The ship-induced bottom shear stress can cause significant suspended sediment concentration increase, and there is a correlation between the maximum suspended sediment concentration and maximum ship-induced drawdown height, which can provide a reference for the waterway management.

scholarly journals Sediment Transport During an Outburst from Glacier De Tsidjiore Nouve, Switzerland, 16–19 June 1981

1983 ◽  
Vol 29 (101) ◽  
pp. 185-190 ◽  
Author(s):  
Ian Beecroft
Keyword(s):  
Sediment Transport ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Sediment Concentration ◽  
Bed Load ◽  
Stream Discharge ◽  
Large Water

AbstractBetween 16 and 19 June 1981 a large water pocket of volume 183 000 m3burst from glacier de Tsidjiore Nouve. From hourly stream discharge and suspended sediment concentration observations a suspended sediment output of 1 674 × 103kg was calculated. The transport of bed-load was estimated at 3 840 × 103kg, hence a total quantity of around 5 500 × 103kg of sediment were removed from the catchment, including the pro-glacial field, in the four days of the outburst.

The Application of GOCI Data Based Remote Sensing Technology in the Field of Sediment Reserch

2013 ◽  
Vol 303-306 ◽  
pp. 786-789
Author(s):  
Hua Feng Liu ◽  
Rui Jie Li ◽  
Xi Shan Pan ◽  
Lie Mo
Keyword(s):  
Remote Sensing ◽  
Water Level ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Remote Sensing Data ◽  
Sediment Concentration ◽  
Acceptable Result ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sediment Transportation

The application of GOCI data in the research of sediment transportation is introduced in the paper..Compared with traditional ways to verify the simulated results, remote sensing data can contain a huge observation scope and a longer observing time.In. The computed results of water level and suspended sediment concentration were compared with processed GOCI data and had an acceptable result.

QUASI-THREE-DIMENSIONAL MATHEMATICAL MODELING OF MORPHOLOGICAL PROCESSES BASED ON EQUILIBRIUM SEDIMENT TRANSPORT

2000 ◽  
Vol 11 (07) ◽  
pp. 1425-1436 ◽  
Author(s):  
MY. M. CHARAFI ◽  
A. SADOK ◽  
A. KAMAL ◽  
A. MENAI
Keyword(s):  
Sediment Transport ◽  
Three Dimensional ◽  
Sediment Concentration ◽  
Suspended Load ◽  
Bed Load ◽  
Change Rate ◽  
Sediment Mass ◽  
Load Transport ◽  
Bed Load Transport ◽  
Morphological Processes

A quasi-three-dimensional mathematical model has been developed to study the morphological processes based on equilibrium sediment transport method. The flow velocities are computed by a two-dimensional horizontal depth-averaged flow model (H2D) in combination with logarithmic velocity profiles. The transport of sediment particles by a flow water has been considered in the form of bed load and suspended load. The bed load transport rate is defined as the transport of particles by rolling and saltating along the bed surface and is given by the Van Rijn relationship (1987). The equilibrium suspended load transport is described in terms of an equilibrium sediment concentration profile (ce) and a logarithmic velocity (u). Based on the equilibrium transport, the bed change rate is given by integration of the sediment mass-balance equation. The model results have been compared with a Van Rijn results (equilibrium approach) and good agreement has been found.

Neural networks approached for modelling river suspended sediment concentration due to tropical storms

2013 ◽  
Vol 11 (4) ◽  
pp. 457-466
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Time Series Data ◽  
Water Discharge ◽  
Sediment Concentration ◽  
Series Data ◽  
Generalized Regression Neural Network ◽  
Event Based

Artificial neural networks are one of the advanced technologies employed in hydrology modelling. This paper investigates the potential of two algorithm networks, the feed forward backpropagation (BP) and generalized regression neural network (GRNN) in comparison with the classical regression for modelling the event-based suspended sediment concentration at Jiasian diversion weir in Southern Taiwan. For this study, the hourly time series data comprised of water discharge, turbidity and suspended sediment concentration during the storm events in the year of 2002 are taken into account in the models. The statistical performances comparison showed that both BP and GRNN are superior to the classical regression in the weir sediment modelling. Additionally, the turbidity was found to be a dominant input variable over the water discharge for suspended sediment concentration estimation. Statistically, both neural network models can be successfully applied for the event-based suspended sediment concentration modelling in the weir studied herein when few data are available.

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