scholarly journals Kajian Hidrolika Sungai Kusan Kabupaten Tanah Bumbu Provinsi Kalimantan Selatan Dengan Uji Model Fisik dengan Skala Distorsi Vertikal 1:40 Horizontal 1:80

2021 ◽  
Vol 1 (2) ◽  
pp. 800-811
Author(s):  
Muhammad Danudoro ◽  
◽  
Very Dermawan ◽  
Sri Wahyuni ◽  
◽  
...  
Keyword(s):  
Rating Curve

Penelitian tersebut dilakukan untuk mengetahui kondisi hidrolika di Sungai Kusan secara prototype yang dimodelkan yang nantinya dibandingan dengan hasil perhitungan teori. Dengan debit pengujian dilakukan menggunakan rating curve pada sungai model Sungai Kusan dengan skala distorsi vertical 1:40 horisontal 1:80. Diperlukan pengujian terhadap bebeara sampel sedimen yang bertujuan untuk menentukan sedimen yang nantinya akan digunakan saat pengujian model sungai. Terdapat 5 sampel yang diujikan, dengan perbandingan jumlah pasir dan jumlah batu bara 1:9, 2:8, 3:7, 4:6 dan 5:5, mengacu pada perbandingan 3:7 sebagai kriteria yang paling baik. Estimasi debit yang lewat pada kondisi eksisting adalah dengan perhitungan lengkung debit pada beberapa section Sungai Kusan dengan menggunakan slope 0,007007 (slope rerata) dan n manning 0,03. Dari liku debit ditentukan debit yang digunakan adalah debit kecil dengan ketinggian air ± 0,50 m (14,29 m3 /detik), debit sedang dengan ketinggian air ± 2,00 m (156,07 m3 /detik) dan debit besar dengan ketinggian air ± 3,50 m (519,64 m3 /detik).

Regionalization of sediment rating curve for sediment yield prediction in ungauged catchments

2013 ◽  
Vol 46 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Sokchhay Heng ◽  
Tadashi Suetsugi
Keyword(s):  
Sediment Yield ◽  
Model Performance ◽  
Data Uncertainty ◽  
Spatial Proximity ◽  
Yield Prediction ◽  
Rating Curve ◽  
Ungauged Catchments ◽  
Probability Curve ◽  
Sediment Rating Curve ◽  
Almost All

The main objective of this research is to regionalize the sediment rating curve (SRC) for subsequent sediment yield prediction in ungauged catchments (UCs) in the Lower Mekong Basin. Firstly, a power function-based SRC was fitted for 17 catchments located in different parts of the basin. According to physical characteristics of the fitted SRCs, the sediment amount observed at the catchment outlets is mainly transported by several events. This also indicates that clockwise hysteretic phenomenon of sediment transport is rather important in this basin. Secondly, after discarding two outlier catchments due to data uncertainty, the remaining 15 catchments were accounted for the assessment of model performance in UCs by means of jack-knife procedure. The model regionalization was conducted using spatial proximity approach. As a result of comparative study, the spatial proximity approach based on single donor catchment provides a better regionalization solution than the one based on multiple donor catchments. By considering the ideal alternative, a satisfactory result was obtained in almost all the modeled catchments. Finally, a regional model which is a combination of the 15 locally fitted SRCs was established for use in the basin. The model users can check the probability that the prediction results are satisfactory using the designed probability curve.

scholarly journals Hydroclimatic control on suspended sediment dynamics of a regulated Alpine catchment: a conceptual approach

2018 ◽  
Vol 22 (6) ◽  
pp. 3421-3434 ◽  
Author(s):  
Anna Costa ◽  
Daniela Anghileri ◽  
Peter Molnar
Keyword(s):  
Suspended Sediment ◽  
Sediment Concentration ◽  
Sediment Dynamics ◽  
Time Lags ◽  
Rating Curve ◽  
Conceptual Approach ◽  
Ice Melt ◽  
Alpine Catchments ◽  
Erosive Rainfall ◽  
Hydroclimatic Variables

Abstract. We analyse the control of hydroclimatic factors on suspended sediment concentration (SSC) in Alpine catchments by differentiating among the potential contributions of erosion and suspended sediment transport driven by erosive rainfall, defined as liquid precipitation over snow-free surfaces, ice melt from glacierized areas, and snowmelt on hillslopes. We account for the potential impact of hydropower by intercepting sediment fluxes originated in areas diverted to hydropower reservoirs, and by considering the contribution of hydropower releases to SSC. We obtain the hydroclimatic variables from daily gridded datasets of precipitation and temperature, implementing a degree-day model to simulate spatially distributed snow accumulation and snow–ice melt. We estimate hydropower releases by a conceptual approach with a unique virtual reservoir regulated on the basis of a target-volume function, representing normal reservoir operating conditions throughout a hydrological year. An Iterative Input Selection algorithm is used to identify the variables with the highest predictive power for SSC, their explained variance, and characteristic time lags. On this basis, we develop a hydroclimatic multivariate rating curve (HMRC) which accounts for the contributions of the most relevant hydroclimatic input variables mentioned above. We calibrate the HMRC with a gradient-based nonlinear optimization method and we compare its performance with a traditional discharge-based rating curve. We apply the approach in the upper Rhône Basin, a large Swiss Alpine catchment heavily regulated by hydropower. Our results show that the three hydroclimatic processes – erosive rainfall, ice melt, and snowmelt – are significant predictors of mean daily SSC, while hydropower release does not have a significant explanatory power for SSC. The characteristic time lags of the hydroclimatic variables correspond to the typical flow concentration times of the basin. Despite not including discharge, the HMRC performs better than the traditional rating curve in reproducing SSC seasonality, especially during validation at the daily scale. While erosive rainfall determines the daily variability of SSC and extremes, ice melt generates the highest SSC per unit of runoff and represents the largest contribution to total suspended sediment yield. Finally, we show that the HMRC is capable of simulating climate-driven changes in fine sediment dynamics in Alpine catchments. In fact, HMRC can reproduce the changes in SSC in the past 40 years in the Rhône Basin connected to air temperature rise, even though the simulated changes are more gradual than those observed. The approach presented in this paper, based on the analysis of the hydroclimatic control of suspended sediment concentration, allows the exploration of climate-driven changes in fine sediment dynamics in Alpine catchments. The approach can be applied to any Alpine catchment with a pluvio-glacio-nival hydrological regime and adequate hydroclimatic datasets.

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

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.

Water balance in the Dutch river Rhine and rating curve uncertainty

2020 ◽  
pp. 2171-2178
Author(s):  
J.J. Twijnstra ◽  
M.R.A. Gensen ◽  
J.J. Warmink ◽  
S.J.M.H. Hulscher ◽  
F. Huthoff ◽  
...  
Keyword(s):  
Water Balance ◽  
River Rhine ◽  
Rating Curve

scholarly journals Water discharge estimates from large radar altimetry datasets in the Amazon basin

2012 ◽  
Vol 9 (6) ◽  
pp. 7591-7611 ◽  
Author(s):  
A. C. V. Getirana ◽  
C. Peters-Lidard
Keyword(s):  
Data Assimilation ◽  
Amazon Basin ◽  
Water Discharge ◽  
Rating Curve ◽  
Radar Altimetry ◽  
Discharge Data ◽  
Modeling Uncertainties ◽  
The Mean ◽  
Relative Errors ◽  
The Impact

Abstract. In this study, we evaluate the use of a large radar altimetry dataset as a complementary gauging network capable of providing water discharge in ungauged regions within the Amazon basin. A rating-curve-based methodology is adopted to derive water discharge from altimetric data provided by Envisat at 444 virtual stations (VS). The stage-discharge relations at VS are built based on radar altimetry and outputs from a global flow routing scheme. In order to quantify the impact of modeling uncertainties on rating-curve based discharges, another experiment is performed using simulated discharges derived from a simplified data assimilation procedure. Discharge estimates at 90 VS are evaluated against observations during the curve fitting calibration (2002–2005) and evaluation (2006–2008) periods, resulting in mean relative RMS errors as high as 52% and 12% for experiments without and with assimilation, respectively. Without data assimilation, uncertainty of discharge estimates can be mostly attributed to forcing errors at smaller scales, generating a positive correlation between performance and drainage area. Mean relative errors (RE) of altimetry-based discharges varied from 15% to 92% for large and small drainage areas, respectively. Rating curves produced a mean RE of 54% versus 68% from model outputs. Assimilating discharge data decreases the mean RE from 68% to 12%. These results demonstrate the feasibility of applying the proposed methodology to the regional or global scales. Also, it is shown the potential of satellite altimetry for predicting water discharge in poorly-gauged and ungauged river basins.

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

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.

scholarly journals Investigation of spillway rating curve via theoretical formula, laboratory experiment, and 3D numerical modeling: A case study of the Riam Kiwa Dam, Indonesia

2021 ◽  
Vol 930 (1) ◽  
pp. 012030
Author(s):  
J Zulfan ◽  
B M Ginting
Keyword(s):  
Numerical Modeling ◽  
Laboratory Experiment ◽  
Water Depth ◽  
Laboratory Model ◽  
Theoretical Formula ◽  
Rating Curve ◽  
3D Numerical Modeling ◽  
Construction Costs ◽  
3D Software

Abstract The spillway rating curve of the Riam Kiwa Dam was investigated via theoretical formula, laboratory experiment, and 3D numerical modeling. It is an ogee type with two uncontrolled and five gated spillways with a total length of 77.5 m. The experiment was performed with a scale of 1:50, while the numerical modeling was conducted using FLOW-3D software. Several discharge values (16.67–2,652.7 m3/s) were tested and observed for two different scenarios of gate openings. For the low discharge in Scenario 1, the theoretical formula and FLOW-3D computed the rating curve less accurately with the error values greater than 10%. A similar phenomenon was observed in Scenario 2, where both theoretical formula and FLOW-3D predicted the rating curve accurately with error values less than 10% for the higher discharge. The discharges tend to be overestimated for the water depth values greater than 2 m giving the average discharge deviation of 6% for the PMF condition. FLOW-3D was found to calculate water depth for all scenarios accurately. It shows a promising approach between numerical simulation and physical modeling, to minimize laboratory model construction costs.

Sign in / Sign up

Export Citation Format

Share Document