Mathematical modeling of synthetic unit hydrograph case study: Citarum watershed

2015 ◽  
Author(s):  
Muhammad Islahuddin ◽  
Adiska L. A. Sukrainingtyas ◽  
M. Syahril B. Kusuma ◽  
Edy Soewono
Keyword(s):  
Mathematical Modeling ◽  
Unit Hydrograph ◽  
Synthetic Unit Hydrograph

scholarly journals Analysis of urban flood using synthetic unit hydrograph (SUH) and flood mitigation strategies along way Halim River: a case study on Seroja street, Tanjung Senang District

2021 ◽  
Vol 331 ◽  
pp. 07015
Author(s):  
Dian Pratiwi ◽  
Arniza Fitri ◽  
Arlina Phelia ◽  
Nabila Annisa Amara Adma ◽  
Kastamto
Keyword(s):  
Mitigation Strategies ◽  
Flood Mitigation ◽  
Trigger Factor ◽  
Urban Flooding ◽  
Unit Hydrograph ◽  
Urban Flood ◽  
Flood Discharge ◽  
Absorption Area ◽  
Synthetic Unit Hydrograph

In the urban area, flooding becomes the most common disaster that has not been resolved until today. The utilization of river border area into housing and lack of absorption area becomes the trigger factor of urban flooding, as what is happening around Way Halim River on Seroja street. In this area, floods often happen during the rainy season, with the latest events recorded on January 21st, 2021. Analysis of flood intensities and discharges can be parameters for the decision-making of flood mitigation strategies. This study aims to analyze the flood discharges along Way Halim River, Seroja street by comparing the flood discharges resulting from three analysis methods of Synthetic Unit Hydrograph (SUH) including Gama I SUH, Nakayasu SUH, and Snyder SUH. Finally, suitable flood mitigation strategies were also proposed in this study based on the flood discharges and rain intensities. The results showed that Nakayasu SUH had the highest peak flood discharge than Snyder SUH and Gama I SUH. Based on the results of the investigation of land suitability; and analysis of rainfall intensities and flood discharges, the proposed flood mitigation in Seroja street is by installing biopore infiltration holes along Seroja street for storing water and reducing the risk of flooding in the area.

scholarly journals Conformity evaluation of synthetic unit hydrograph (case study at upstream Brantas sub watershed, East Java Province of Indonesia)

2017 ◽  
Vol 35 (1) ◽  
pp. 173-183 ◽  
Author(s):  
Dwi Priyantoro ◽  
Lily Montarcih Limantara
Keyword(s):  
Water Resources ◽  
Unit Hydrograph ◽  
Time Of Concentration ◽  
Main River ◽  
Synthetic Unit Hydrograph ◽  
The Difference

AbstractThis study intends to analyse the suitable hydrograph in upstream Brantas sub watershed. The methodology consists of comparing the result of hydrograph due to the methods of Nakayasu synthetic unit hydrograph (SUH), Limantara synthetic unit hydrograph, and the observed unit hydrograph. In detail, this study intends to know the difference of hydrograph parameters: α and Tg as recommended by Nakayasu and in the study location; to know the influence of main river length which is used in the methods of Nakayasu and Limantara to the time of concentration; to know the hydrograph ordinate deviation between Nakayasu and Limantara due to the observed hydrograph. Result is hoped for recommending the suitable hydrograph in upstream Brantas subwatershed so that it can be used accurately for the further design of water resources structure.

scholarly journals RUNOFF HYDROGRAPHS USING SNYDER AND SCS SYNTHETIC UNIT HYDROGRAPH METHODS: A CASE STUDY OF SOUTH WEST NIGERIA

2017 ◽  
Vol 18 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Wahab Salami ◽  
Solomon Bilewu ◽  
Biliyamin Ibitoye ◽  
Mufutau Ayanshola
Keyword(s):  
Unit Hydrograph ◽  
South West ◽  
Synthetic Unit Hydrograph ◽  
Runoff Hydrographs

scholarly journals PEAK DEBIT ANALYSIS USING SYNTHETIC UNIT HYDOGRAPHIC METHOD ITB 1 AND HEC-RAS VERSION 5.0.7 (Case Study of Manna Downstream watershed)

2021 ◽  
Vol 13 (1) ◽  
pp. 17-24
Author(s):  
Muhamad Syahroni
Keyword(s):  
Natural Disaster ◽  
Flow Rate ◽  
River Flow ◽  
Peak Discharge ◽  
Return Periods ◽  
Unit Hydrograph ◽  
High Rainfall ◽  
Synthetic Unit Hydrograph

Flooding is a natural disaster caused by the discharge or volume of water that flows in a river exceeds its stream capacity. One of the causes of the flood is high rainfall. The discharge of a river flow depends on the rainfall that falls in a watershed. The purpose of this study was to determine the peak discharge due to the intensity of rainfall in the downstream of Air Manna Watershed and determine the point that will undergo runoff on the Air Manna river flow. This study used Synthetic Unit Hydrograph (HSS) ITB 1 method and analyzed used HEC-RAS 5.0.7. From the result of hydrological analysis used the HSS ITB 1 method, it was found out the peak discharge in the downstream of Air Manna Watershed for return periods 2, 5, 10, 25, 50 and 100 years was 1322.21 m3/s, 1492.94 m3 /s, 1594 12 m3 /s, 1712.20 m3/s, 1794.33 m3 /s, and 1872.85 m3/s. After analyzing used HEC-RAS 5.0.7 software, Air Manna river was unable to accommodate the flow rate that occurred and undergo runoff along the flow.

scholarly journals Inverse Problem for Looped River Networks – Lower oder River Case Study

2013 ◽  
Vol 39 (1) ◽  
pp. 105-118
Author(s):  
Jacek Kurnatowski
Keyword(s):  
Mathematical Modeling ◽  
Flow Resistance ◽  
Flow Distribution ◽  
River Networks ◽  
Sensitivity Equation ◽  
Flow Measurements ◽  
Sensitivity Equation Method ◽  
Coefficients Identification ◽  
Oder River

Abstract Identification of coefficients determining flow resistance, in particular Manning’s roughness coefficients, is one of the possible inverse problems of mathematical modeling of flow distribution in looped river networks. The paper presents the solution of this problem for the lower Oder River network consisting of 78 branches connected by 62 nodes. Using results of six sets of flow measurements at particular network branches it was demonstrated that the application of iterative algorithm for roughness coefficients identification on the basis of the sensitivity-equation method leads to the explicit solution for all network branches, independent from initial values of identified coefficients.

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