Towards an establishment of a rating curve for suspended sediment transport by means of ADCP measurements

This study presents a series of acoustic current Doppler profiler (ADCP) measurements, which are converted into suspended load concentrations (SSC). Depending on the particle size distribution (PSD), the sound backscatter and its attenuation are used to determine a theoretical minimal and physical upper limit of the SSC. The SSC are displayed over time and compared with the evolution of the water level during the same time interval. The present study shows that it is possible to have continuous measurements of SSC and water level with a horizontally installed two beam equipped ADCP and discusses the potential of such a continuing times series measurement for application in hydraulic engineering and research. However, the presented data set shows also that the calibration and the filtering of the raw data has to be improved and that further investigations are needed. After data verification, it will be possible to calculate the yearly sediment load and investigate physical behaviour of SSC concentration as a function of water level and discharge.

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Application of a flow-measurement structure for sediment-laden streams

Canadian Journal of Civil Engineering ◽

10.1139/l09-079 ◽

2009 ◽

Vol 36 (9) ◽

pp. 1539-1543

Author(s):

Mustafa Göğüş ◽

A. Cüneyt Gerek ◽

A. Burcu Altan-Sakarya

Keyword(s):

Water Level ◽

Flow Measurement ◽

Sediment Load ◽

Real Data ◽

Flow Depth ◽

Rating Curve ◽

Natural Streams ◽

The Relationship ◽

High Sediment ◽

Single Relation

Generally, measurement of flow in natural streams is accomplished by measuring the flow depth. Hence, the relationship between the water level and discharge should be obtained in advance. However, in streams with high sediment load, the bottom level may change due to sediment deposition, preventing the single relation between water level and discharge. This paper summarizes the application of a flow-measurement structure for sediment-laden streams. The proposed structure is designed and built in Turkey and has been under operation since 1998 without any sedimentation problem. The agreement between the real data obtained from the structure and the theoretical rating curve is quite reasonable.

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Geomorphological factors influencing hysteresis patterns between suspended load and flow rate in Alpine rivers

E3S Web of Conferences ◽

10.1051/e3sconf/20184004004 ◽

2018 ◽

Vol 40 ◽

pp. 04004

Author(s):

Clément Misset ◽

Alain Recking ◽

Cédric Legout ◽

Alain Poirel ◽

Marine Cazilhac

Keyword(s):

Time Series ◽

Suspended Sediment ◽

Sediment Load ◽

Hysteresis Loops ◽

Total Solid ◽

Suspended Load ◽

Suspended Sediment Transport ◽

Suspended Sediment Load ◽

Fine Sediments ◽

Erosion Processes

Suspended sediment load represents a large part of total solid fluxes transported in most rivers. Thus, for hydropower plan management or for environmental issues, it is crucial to understand how these sediments are produced, stored and transported in a given catchment. Hysteresis loops in discharge-suspended load signals are commonly used to assess sediment sources and production processes but most of the time the shape of this relation is analyzed qualitatively on short time series or for few events. In this study we analyzed quantitatively 10 long time series of suspended sediment load of various alpine catchments. This method allows us to compare events and to assess to which extent fine sediments originate from hillslope erosion processes or from river bed remobilization. We found that watersheds with braided bed morphology are dominated by clockwise loops while those with narrower bed as step-pool morphology are dominated by counter-clockwise hysteresis or have no general trend. These results suggest that storage and remobilization of fine sediments within the bed could play a major role in suspended sediment transport in Alpine streams, especially in large braided rivers.

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Understanding watershed suspended sediment transport

Progress in Physical Geography Earth and Environment ◽

10.1177/0309133308094849 ◽

2008 ◽

Vol 32 (3) ◽

pp. 243-263 ◽

Cited By ~ 68

Author(s):

Peng Gao

Keyword(s):

Sediment Transport ◽

Suspended Sediment ◽

Sediment Load ◽

Transport Processes ◽

Suspended Sediment Transport ◽

Suspended Sediment Load ◽

Watershed Scale ◽

Rating Curve ◽

Sediment Rating Curve ◽

Sediment Monitoring

Suspended sediment at the watershed scale has played a critical role in sediment pollution, water-quality degradation, and the impairment of riparian ecosystems, and thus has been widely studied in many disciplines. This paper synthesizes a variety of methods adopted in suspended sediment monitoring, estimation and modelling for understanding sediment transport processes and determining the suspended sediment load. Methods for sediment monitoring are described in terms of direct and indirect approaches. Estimation of suspended sediment load is commonly achieved by establishing a sediment rating curve. Different approaches toward the establishment of a sediment rating curve are examined thoroughly. Techniques of sediment modelling are summarized via depiction of various hydrological and sediment models at the watershed scale. The paper ends with the discussion of future developments in suspended sediment studies at the watershed scale.

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Lake water levels for calibration of the S-HYPE model

Hydrology Research ◽

10.2166/nh.2016.019 ◽

2016 ◽

Vol 47 (4) ◽

pp. 672-682 ◽

Cited By ~ 12

Author(s):

Göran Lindström

Keyword(s):

Water Level ◽

Lake Water ◽

Water Levels ◽

Rating Curve ◽

Data Set ◽

Discharge Water ◽

Level Data ◽

Water Level Data ◽

Standard Value ◽

Water Level Measurements

Lake water levels are easy to measure, and can be seen as a transformation of discharge. Water level measurements from 42 lakes in Sweden were analysed, and eight of these lakes were modelled using the Swedish S-HYPE model. The objective was to test if a hydrological model can be calibrated using water level data instead of discharge. A semi-analytical lake routing was developed to resolve fast variations in water levels in small lakes. Seven tests were made in which data were sampled from real observations and the model was calibrated to each data set. It was found that water levels are useful for calibration of hydrological models, even without measuring discharge and establishing a traditional rating curve. The exponent in the rating curve equation could be set to 2 as a standard value. Approximate rating curves can be identified by model calibration. The results were improved considerably already when only four observed water levels were used (mean NSE = 0.88 for both water levels and discharge), compared to the general model (−1.44 and 0.76, respectively). Calibration of both the rating curve and the inflow gave nearly as good discharge simulations (mean NSE = 0.92) as traditional calibration using recorded discharge (0.93).

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PENENTUAN LIKU KALIBRASI DEBIT (RATING CURVE) PADA MUSIM HUJAN DI DAERAH ALIRAN SUNGAI (DAS) DELI

Jurnal Ilmiah Rekayasa Pertanian dan Biosistem ◽

10.29303/jrpb.v7i2.117 ◽

2019 ◽

Vol 7 (2) ◽

pp. 157-165

Author(s):

Andi Setiawan ◽

Edi Susanto

Keyword(s):

Water Level ◽

Rating Curve

Liku kalibrasi debit merupakan kurva yang menunjukkan hubungan antara tinggi muka air dan debit sungai sehingga dapat digunakan untuk memprediksi besarnya debit pada sungai tersebut. Tujuan penelitian ini adalah untuk mendapatkan persamaan liku kalibrasi debit di DAS Deli. Penelitian ini dilakukan dengan mengukur debit air sungai dan mengambil data tinggi muka air menggunakan alat water level logger dengan pengamatan minimal dua kali dalam seminggu. Debit air sungai pada lokasi penelitian memiliki nilai yang bervariasi yaitu 0,74 - 3,28 m3/detik dengan rata-rata 1,06 m3/detik. Penentuan persamaan liku kalibrasi debit menggunakan beberapa metode yaitu linier, polinomial, berpangkat, logaritmik, dan eksponensial. Hasil dari penelitian diperoleh bahwa persamaan dengan metode polinomial orde dua memiliki tingkat korelasi (r) dan RMSE yang terbaik dengan nilai r 0,986 dan nilai RMSE 0,011. Persamaan rating curve yang diperoleh adalah Q = 18,97(h)2 – 1,372(h) + 0,190.

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Suspended Sediment Analysis: Case Study of Berounka Sources

Geografie ◽

10.37040/geografie1997102020130 ◽

1997 ◽

Vol 102 (2) ◽

pp. 130-138

Author(s):

Zdeněk Kliment ◽

Jan Kopp

Keyword(s):

Seasonal Variation ◽

Sediment Transport ◽

Suspended Sediment ◽

Inorganic Material ◽

Suspended Sediments ◽

Suspended Load ◽

Suspended Sediment Transport ◽

Sediment Analysis ◽

Load Characteristics

The article examines suspended sediment transport in Mže, Radbuza, and Úhlava Rivers over the period 1989-95. Data on suspended sediments was collected at five observing sites. The research has been carried out in collaboration with Czech Hydrometeorological Institute, Plzeň. Apart from the suspended load characteristics also the seasonal variation of suspended sediments, siltation of Hracholusky and České Údolí Lakes, and the share of inorganic material in suspended sediments have been examined.

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FerryBox data in the North Sea from 2002 to 2005

Earth System Science Data ◽

10.5194/essd-10-1729-2018 ◽

2018 ◽

Vol 10 (3) ◽

pp. 1729-1734 ◽

Cited By ~ 1

Author(s):

Wilhelm Petersen ◽

Susanne Reinke ◽

Gisbert Breitbach ◽

Michail Petschatnikov ◽

Henning Wehde ◽

...

Keyword(s):

Daily Basis ◽

Time Interval ◽

Arctic Seas ◽

Data Set ◽

The North ◽

The North Sea ◽

Flow Through ◽

Data Portal ◽

Data Gap ◽

Biogeochemical Parameters

Abstract. From 2002 to 2005 a FerryBox system was installed aboard two different ferries travelling between Cuxhaven (Germany) and Harwich (UK) on a daily basis. The FerryBox system is an automated flow-through monitoring system for measuring oceanographic and biogeochemical parameters installed on ships of opportunity. The variables were recorded in a time interval of 10–20 s, corresponding to a spatial resolution of about 100 m. The data set provides the parameters water temperature, salinity, dissolved oxygen and chlorophyll a fluorescence. There is a longer data gap between November 2002 and August 2003 in the time series due to a change of the vessel in October 2002. The data are available at https://doi.org/10.1594/PANGAEA.883824 (Petersen et al., 2017) and as part of the COSYNA (Coastal Observing System for Northern and Arctic Seas) data portal CODM at http://codm.hzg.de/codm (last access: September 2018) or https://doi.org/10.17616/R3K02T (Breitbach, 2018).

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Two-dimensional stochastic modeling for predicting bankruptcy for manufacturing companies

10.47302/jsr.2020540202 ◽

2021 ◽

Vol 54 (2) ◽

pp. 123-129

Author(s):

James C. Fu ◽

Winnie H. W. Fu

Keyword(s):

Brownian Motion ◽

Real Data ◽

Bankruptcy Prediction ◽

Boundary Crossing ◽

Time Interval ◽

Two Dimensional ◽

Manufacturing Companies ◽

Boundary Crossing Probability ◽

Data Set ◽

Crossing Probability

Increasing accuracy of the model prediction on business bankruptcy helps reduce substantial losses for owners, creditors, investors and workers, and, further, minimize an economic and social problem frequently. In this study, we propose a stochastic model of financial working capital and cashflow as a two-dimensional Brownian motion X(t) = (X1(t),X2(t)) on the business bankruptcy prediction. The probability of bankruptcy occurring in a time interval [0,T] is defined by the boundary crossing probability of the two-dimensional Brownian motion entering a predetermined threshold domain. Mathematically, we extend the result in Fu and Wu (2016) on the boundary crossing probability of a high dimensional Brownian motion to an unbounded convex hull. The proposed model is applied to a real data set of companies in US and the numerical results show the proposed method performs well.

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Artificial Neural Network Model for Estimation of Suspended Sediment Load in Krishna River Basin, India

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b7744.019320 ◽

2020 ◽

Vol 9 (3) ◽

pp. 3701-3705

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Level ◽

Suspended Sediment ◽

River Basin ◽

Flood Control ◽

Sediment Load ◽

Water Discharge ◽

Suspended Sediment Load ◽

Artificial Neural

The correct assessment of amount of sediment during design, management and operation of water resources projects is very important. Efficiency of dam has been reduced due to sedimentation which is built for flood control, irrigation, power generation etc. There are traditional methods for the estimation of sediment are available but these cannot provide the accurate results because of involvement of very complex variables and processes. One of the best suitable artificial intelligence technique for modeling this phenomenon is artificial neural network (ANN). In the current study ANN techniques used for simulation monthly suspended sediment load at Vijayawada gauging station in Krishna river basin, Andhra Pradesh, India. Trial & error method were used during the optimization of parameters that are involved in this model. Estimation of suspended sediment load (SSL) is done using water discharge and water level data as inputs. The water discharge, water level and sediment load is collected from January 1966 to December 2005. This approach is used for modelled the SSL. By considering the results, ANN has the satisfactory performance and more accurate results in the simulation of monthly SSL for the study location.

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