Fractal Characteristic Analysis of Watershed as Variable of Synthetic Unit Hydrograph Model

Tunas, I Gede; Anwar, Nadjadji; Lasminto, Umboro

doi:10.2174/1874149501610010706

Cited by 18 publications

(14 citation statements)

References 12 publications

(25 reference statements)

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“…2). These watersheds were located in 119°53'32"E−122°19'47"E and 02°28'34"S−01°09'48"N. The 8 observed watersheds as the research objects had an area of 23.88 km 2 up to 144.73 km 2 and all categorized as mesoscale watersheds with an area of 10<A<1000 km 2 [3,4]. These watersheds had various format factors (FB).…”

Section: Methodsmentioning

confidence: 99%

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The Improvement of Synthetic Unit Hydrograph Performance by Adjusting Model Parameters for Flood Prediction

Tunas¹,

Anwar²,

Lasminto³

2017

IJET

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One of the important factors in water resources management is the determination of design flood associated with determining the size, capacity and age of the water resources structures to be built. Determination of design flood can be done in various ways, one of which is very popular to date is discharge prediction using synthetic unit hydrograph (SUH) approach. The use of unit hydrograph models has been widely applied in various parts of the world, especially in Indonesia, some of which are Snyder, Nakayasu, GAMA I and ITB-1. These methods are considered to have a good performance because it has to accommodate the characteristics of watersheds in a model parameter that greatly contributed to the process of rainfall-runoff transformation. However, in some cases it also provides a sizeable deviation, especially in Indonesia, considering that watersheds in Indonesia have different characteristics with watersheds in the United States where Snyder Unit Hydrograph developed. To overcome these problems, the unit hydrograph performance must be improved so that it can be used in various watersheds to obtain the smallest deviations. This research was conducted in 8 watersheds located in Central Sulawesi Province, Indonesia. This study aimed to improve the performance of Snyder Unit Hydrograph Model, covering Snyder, Nakayasu, SCS, GAMA I, ABG and ITB-1. The improvement of model performance was conducted by adjusting model parameters, in this case using Solver Tool on Microsoft Excel. Evaluation was done by the error indicator such as coefficient of Nash-Sutcliffe model efficiency (E). The study result showed that model parameter adjustment could decrease a deviation of SUH model parameter for peak discharge and average peak time up to 30% and could increase Nash-Sutcliffe Model Efficiency Coefficient (E) up to over 80%. The decrease of a deviation of SUH model parameter and the increase of E coefficient revealed that optimization using solver facility was effectively undertaken. However, not all deviations decreased but even increased significantly after optimization. It happened because the process of parameter optimization occurred simultaneously, and it was only based on a purpose function by maximizing Nash-Sutcliffe Model Efficiency Coefficient (E). The adjustment in this coefficient caused the increase or decrease of a parameter deviation of SUH Model depending on E value achieved on the optimization process. Overall, it could be declared that the decrease of a parameter deviation of SUH model was accompanied by the increase of Nash-Sutcliffe Model Efficiency Coefficient (E). Keywords : performance improvement, synthetic unit hydrograph, model parameters, flood prediction I. INTRODUCTION One of the important factors in water resources management and planning was flood discharge estimation functioned to determine optimum discharge size associated with dimension and a life of structures. The aim of optimum flood discharge estimation was to plan structures which did not have over a dimension (over estimated) implying ...

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Section: Methodsmentioning

confidence: 99%

“…)=unit discharge (m 3 /s), α,β,γ= shape factor of hydrograph, L= main river length (km), SIM= symmetry factor, SF= source factor, JN= number of joint, WF= width factor, TR= rising time (hour), TB= base time (hour), S=main river slope and A=watershed area (km2 …”

mentioning

confidence: 99%

The Improvement of Synthetic Unit Hydrograph Performance by Adjusting Model Parameters for Flood Prediction

Tunas¹,

Anwar²,

Lasminto³

2017

IJET

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“…Over the years, fractal analysis becomes a valuable tool introduced complementary to solve the complex character of objects. The main attraction of this approach stems from its ability to offer an appropriate way to quantitatively analyze data in a variety of fields, such as economics, physics, earth sciences, biology, chemistry, and other disciplines [29,30].…”

Section: Overview Of the Fractal Geometrymentioning

confidence: 99%

Fractal Assessment of the Disturbances of Phosphate Series Using Lacunarity and Succolarity Analysis on Geoelectrical Images (Sidi Chennane, Morocco)

Ayad

Bakkali

2019

Complexity

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In Sidi Chennane phosphate deposit, the disturbances cause serious challenges for the OCP mining engineers during both exploration and the exploitation stages. They are qualified as worst rocky hard to be quantified since they interfere with phosphates series. In this paper, we propose the fractal analysis as a simple efficient tool to quantify the rate of the disturbances by two different methods, namely, the Lacunarity and the Succolarity. The analysis was carried out on eight geoelectrical images of a disturbed area of 50 hectares located in the northern part of Sidi Chennane. The results proved that there is a strong correlation between the disturbances rate and the corresponding fractal value indexes. It appears that the distinction between two disturbed areas is the difference between their corresponding fractal values. This has an important implication to discriminate between the phosphate deposit at high risk of disturbances and the deposit at low risk. The fractal analysis can be thus used as a crucial concept in ranking the prospective zones of phosphate as well as improving the phosphate reserve estimation.

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“…The topography of the watershed was mostly a mountainous area with various valleys and miscellaneous stream [17]. The mountainous area dominates in the in the upper and middle zone of the watershed.…”

Section: A Research Sitementioning

confidence: 99%

The Use of GIS and Hydrodynamic Model for Performance Evaluation of Flood Control Structure

Tunas

Maadji

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Flood disaster in Palu River has repeatedly occurred with varying discharge magnitudes, especially in the downstream segment near and around the estuary. The most recent flood occurred in July 2018 has inundated some areas of Palu City and resulted in a considerable impact on the socioeconomic life of the community in the city of Palu. Actually, flood prevention efforts have been undertaken by the Palu City Government and River Basin Board of Sulawesi III, one of which is by constructing levee combined with revetment along more than 5 km measured from the estuary to the upstream reach. The levee is made of soil material, while the revetment is a structure to protect the levee made of concrete. These structures were built on both sides of the river banks. However, the flood disaster always happens almost every year in this area. This paper intends to evaluate the performance of the flood control structure using Geographic Information System and HEC-RAS hydrodynamic model. The use of these tools provides the ease and efficiency of flood simulation along the river being modeled. The analysis results show that the bank capacity of Palu River is currently only effective for flood discharge below 550 m 3 /s, where the river bank capacity at the beginning of the levee and revetment design is approximately 550 m 3 /s, equivalent to the 25 years return period of discharge. The river bank capacity decreases due to sediment deposition on the river bed which were originated from the upstream watershed. This decline in cross-section capacity is estimated to be the cause of the flood disaster in parts of Palu City.

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Fractal Characteristic Analysis of Watershed as Variable of Synthetic Unit Hydrograph Model

Cited by 18 publications

References 12 publications

The Improvement of Synthetic Unit Hydrograph Performance by Adjusting Model Parameters for Flood Prediction

The Improvement of Synthetic Unit Hydrograph Performance by Adjusting Model Parameters for Flood Prediction

Fractal Assessment of the Disturbances of Phosphate Series Using Lacunarity and Succolarity Analysis on Geoelectrical Images (Sidi Chennane, Morocco)

The Use of GIS and Hydrodynamic Model for Performance Evaluation of Flood Control Structure

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