The application of backpropagation neural network method to estimate the sediment loads

Gunawan, Taufik Ari; Kusuma, Muhammad Syahril Badri; Cahyono, Muhammad Shofwan Donny; Nugroho, Joko

doi:10.1051/matecconf/201710105016

Cited by 16 publications

(12 citation statements)

References 18 publications

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“…Land-use change tends to decrease the dependable flow for irrigation and increase the extreme discharge [1] so that the annual yield of paddy fields tends to decrease. Furthermore, land-use change tends also to increase sedimentation problems in the rivers and reservoirs [2], [3], [4]. Thus, land-use change has become a common phenomenon that decreases paddy fields and the annual yield of the paddy field.…”

Section: Introductionmentioning

confidence: 99%

Rheological Relationship to Sediment Deposition Rate in Macan Weir Sediment Traps

Isnaeni¹

2021

GEOMATE

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Irrigation canals require a sediment trap to control not-allowable sediment deposits in the primary irrigation canals to maintain the highest paddy yield. The not-allowable sediment deposit for Cimacan River, not only non-cohesive sediment (dia>0.07mm) as for regular river, but also cohesive sediments (dia<0.07mm) that could be cemented rapidly under the laminar flow condition and then potentially decrease the performance of irrigation canals. This paper presents the resulting study of the rheologic characteristic of the cemented bed sediments and the threshold velocity related to the sediment cementing process of irrigation canals in the Cimacan River. The study was conducted based on field and secondary data. The geological investigation had been carried out and tested to obtain grain-size distribution, sediment stratification, and water temperature in the Cimacan river tested in 2017 and 2019. Secondary data is taken to support the comparison study. Based on this study, it is found that the cemented sediment could be flushed only when the average velocity of the lower layer of the flow is greater than the threshold velocity of cementing occurrence. In this case, the μ movement curve as a function of viscosity Iv that could reach beyond the range of 3×10 -5

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Section: Introductionmentioning
confidence: 99%

Rheological Relationship to Sediment Deposition Rate in Macan Weir Sediment Traps
Isnaeni¹
2021
GEOMATE
2
1
3
0
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“…Salim et al [16] had discussed the important of the erosion rate prediction of the upperpart river for estuary river sedimentation prediction. Gunawan et al [17] demonstrate the application mathematical model based on neural network methods for river sediment load estimation, however, to achieve satisfied results, this model requires a well record data measurement which is not the case of Musi River data.…”

Section: Methodsmentioning
confidence: 99%

The Influence of the New LRT Pier to the Sedimentation Pattern Around Ampera Bridge in Musi River, South Sumatera, Indonesia
Kusuma¹
2020
GEOMATE
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6
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Sedimentation rate, which is the most important parameters of the inland water way performance like Musi River becoming one of a major research topic in Indonesia. The influence of additional pier for the new LRT Bridge constructed parallel to Ampera Bridge to the sedimentation pattern of Musi River was discussed in this paper. Currently, as most of the rivers in Indonesia, a complete field data observation of discharge, sediment characteristic is a luxury one to have. That's why mathematical model, supported by eligible limited field measurements for model calibration and verification, is commonly used to predict the above parameters. Hydrometric survey of water level, sediment samples (both suspended and bed sediment), velocity and bathymetry were conducted to get instantaneous field data. Based on the comparison of two bathymetry map with difference periods of measurements, it was found that the sedimentation rate, was different for high and low tide. Tank model of Sacramento and USLE were used to respectively generate synthetic river discharge and soil surface erosion rate. Hydrodynamic model of SMS 8 was used to predict annual rate of sedimentation. Good comparison of the field measurement and SMS model results was found for current and sediment pattern. The maximum sedimentation occurs during the high tide where the backwater was generated by sea intrusion. The New LRT pier increase the impact of river contractions for both maximum velocity around the Ampera Bridge up to 1.5 time and sedimentation rate behind the pier group of the bridges.

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“…Meanwhile, lack of field data, of rainfall and discharge distribution, remains the main concern to get eligible results of climate change influence to the extreme discharge of Ciliwung as is indicated by Farahnaz et al [7]. Based on neural network methods Gunawan et al [8] demonstrate the application mathematical model for river sediment load estimation, however, this model requires a good record data measurement that is not applicable for Ciliwung River data. Suprayogi et al [9] conclude that land subsidence is one of the most important parameters that should be addressed in decreasing flood risk in Jakarta where freshwater availability for the local people is the key solution.…”

Section: Introductionmentioning
confidence: 99%

Assasment of flood hazard reduction in DKI Jakarta: Bendungan Hilir Village
Taufik
¹
,
Yatrib
²
,
Harman
³

et al. 2022
IOP Conf. Ser.: Earth Environ. Sci.
4
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Jakarta has an essential function for Indonesia, apart from being the capital city of the country, Jakarta is also the center of the nation’s economy. However, the problem of flooding that occurs every year causes enormous material and immaterial losses. One of the metropolitan areas that is often hit by floods is Bendungan Hilir Village. This village is the meeting point between the Ciliwung River and the Krukut River. One of the causes of flooding is when the water level in both rivers is high, the water from the Krukut River cannot flow, so it overflows into the surrounding area. For this reason, this study will analyze the level of flood hazard and the effect of normalization of the Krukut River. The analysis was performed using the HEC-RAS, combining 1D and 2D modeling. In the upstream part, the Krukut watershed flood hydrograph is applied for a return period of 25 years with a peak discharge of 169 m3/s, and the normal depth will be used as the downstream boundary. The modeling is carried out in two conditions, they are the existing channel and the channel after normalization. Based on the model results it is found that normalization could reduce the flood hazard of Krukut river around 75%.

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The application of backpropagation neural network method to estimate the sediment loads

Cited by 16 publications

References 18 publications

Rheological Relationship to Sediment Deposition Rate in Macan Weir Sediment Traps

Rheological Relationship to Sediment Deposition Rate in Macan Weir Sediment Traps

The Influence of the New LRT Pier to the Sedimentation Pattern Around Ampera Bridge in Musi River, South Sumatera, Indonesia

Assasment of flood hazard reduction in DKI Jakarta: Bendungan Hilir Village

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