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Ahmad Taufiq
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jurnalpusair@gmail.com
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INDONESIA
JURNAL SUMBER DAYA AIR
ISSN : 19070276     EISSN : 2548494X     DOI : -
Core Subject : Engineering,
Jurnal Sumber Daya Air (JSDA) is a journal aims to be a peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on Water, and Water resources as well as related topics. All papers are peer-reviewed by at least two referees. JSDA is managed to be issued twice in every volume. The Scope of JSDA is: the fields of irrigation, environmental quality and water, swamp, beach, water building, water supply, hydrology and geotechnical fields, hydrology and water management, water environment, coastal fields, fields of cultivation and sabo fields.
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Articles 5 Documents
Search results for , issue "Vol 16, No 1 (2020)" : 5 Documents clear
Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan Denik Sri Krisnayanti; Davianto Frangky B. Welkis; Fery Moun Hepy; Djoko Legono
JURNAL SUMBER DAYA AIR Vol 16, No 1 (2020)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v16i1.646

Abstract

The construction of the Temef Dam in Oenino Village, Oenino District, and Konbaki Village, Polen District, South Central Timor Regency requires long and reliable rainfall data. To overcome the minimum data or the unavailability of automatic rainfall (ARR) and discharge data in the past decades, the use of Tropical Rainfall Measuring Mission (TRMM) satellite data is foreseen. The accuracy of TRMM data is obtained when the parameters of suitability and compatibility of TRMM are in a good agreement with the ARR. For the Temef watershed, there are six rainfall stations that were reviewed, namely Fatumnasi, Oeoh, Noelnoni, Polen, Nifukani, and Batinifukoko rainfall stations. Direct comparisons of rainfall data were conducted for 20 years (1998-2018) with temporal resolution on a monthly and daily basis. The results of the study show that the rainfall patterns in the TRMM data product (version 3B42V7) tend to be consistent with 3 rainfall stations in the Temef watershed namely Noelnoni, Fatumnasi, and Batinifukoko. A correlation coefficient of 0.505 – 0.813 was obtained from TRMM data calibration at monthly basis while a correction factor level of 0.0056 - 0.0129 was obtained for daily.  The calibration on the annual maximum daily rainfall data resulted in a correction factor of 0.0298 - 0.2516. Monthly and daily TRMM data fit well with the data of 3 rainfall stations. However, the Noelnoni rainfall station showed poor results on the annual maximum daily rainfall.Keywords: TRMM data, ARR data, correction factor, correlation coefficient
Uji Laboratorium Pengaruh Kemiringan Lereng Terhadap Kejadian Longsoran Aliran Debris Pasir Merapi Bayu Seto Waseso Utomo; Jati Iswardoyo; Ruzardi Ruzardi
JURNAL SUMBER DAYA AIR Vol 16, No 1 (2020)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v16i1.616

Abstract

The debris flow that happen on the of Mount Merapi is really hard to be seen, therefore, it is necessary to conduct laboratory-scale simulations to know when debris flows will happen as regard to rainfall intensity and the slope of Mount of Merapi. This research examines the correlation between the slope and the potential for debris flow at 25 mm/h rainfall intensity. This will be a reference for early warning of landslides on Mount of Merapi. This research uses a tool such as flume that sized 3 x 5 x 0,15 m as a model of slope of Mount of Merapi, and artificial rainfall apparatus as the rain simulator. The simulation is conducted using five years rainfall intensity of 25 mm/h in combination of slope i.e. 15, 20, 25, 30 and 35 degrees whereas the material used to represent the sediment is in form of sand taken from Gendol River upstream with 4,75 mm passing mesh sieves. The result of this simulation is the steeper the slope is, the faster the duration for the rain to cause debris flow. This research can be continued with change variation of rainfall intensity to understand the debris flows behavior. Keywords: Debris flow, Mount of Merapi, laboratory test, rainfall intensity, flume model
Potensi Debit Aliran Lokal Waduk Saguling Menggunakan Model Hujan Limpasan Asep Ferdiansyah; sri mulat yuningsih; Mirwan Rofiq Ginanjar; Isnan Fauzan Akrom
JURNAL SUMBER DAYA AIR Vol 16, No 1 (2020)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v16i1.606

Abstract

Saguling reservoir is one of the three largest reservoirs in the Citarum River Basin. The water source of its reservoir originates from Upper Citarum river basin, with gauging station located in Citarum-Nanjung and local discharge from tributaries around the reservoir. The problem is there is no observation of local discharge from the tributaries, thus its potential is estimated. The purpose of this study is to analyze the potential of local discharge with the Hydrology Engineering Center-Hydrologic Modeling System (HEC-HMS) model. The HEC-HMS Rainfall-runoff method is used for calculating the potential of the local discharge that flows into Saguling resevrvoir. The parameters used in the model are deficit constant (loss parameter), linear reservoir (baseflow parameter), dan lag time (transform parameter). Rainfall-runoff model produced good calibration values for Citarum-Nanjung Gauging Station with R2 of 0.8 and the Nash-Sutcliffe efficiency (NSE) value of 0.788. The verification result carried out in Saguling reservoir gives NSE of 0.8343 and R2 value of 0.83. The simulation shows that the potential discharge from local river contributes about 21.64% of the total discharge that enters  into the reservoir with monthly dependable flow for power plants, Q80 and Q85 values at 8,23 m3/s and 5,69 m3/s, respectively. The average discharge of local rivers can generate electricity of 3.89 MW - 162 MW.Keywords: Local discharge, rainfall runoff, potential discharge, Saguling reservoir
Aplikasi Metode Pemisahan Aliran Dasar Berbasis Grafis Digital: Studi Pendahuluan Di Wilayah DAS Brantas indarto indarto; Nur Defitri Herlinda
JURNAL SUMBER DAYA AIR Vol 16, No 1 (2020)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v16i1.487

Abstract

The estimation of baseflow is a crucial task for water resources management. This research aimed to calibrate, validate, and evaluate the performance of the digital graphical method to separate baseflow. Two outlets of Brantas watersheds located at Kertosono (±6414,2 km2)  and Ploso (± 8844,2 km2) were used for this study. This study used three digital graphics filters known as a local-minimum, fixed-interval and sliding-interval. The methodology consists of (1) data inventory, (2) data processing, (3) calibration, (4) validation, and (5) evaluating of models performance.  Daily discharge data were separated into two periods, from  1996 to 2005 for the calibration and from 2006 to 2015 for the validation. Firstly, each method was tested annually by entering parameter values through trial and error. The period from July to September is considered as the peak of dry seasons and used to calibrate.  The optimal values of parameters for calibration obtained by Averaging yearly values.  Secondly, the optimal values from calibration are then used to test the model during the validation. Furthermore, statistical analysis was used to compare model performance during calibration and validation.  Results show that the three methods could be used and perform well; however, the best performance is a local-minimum method.Keywords: Baseflow, separation, graphical-method, digital-filter, Brantas
Penentuan Ambang Curah Hujan untuk Memprediksi Kejadian Longsor Rokhmat Hidayat; Avidah Amalia Zahro
JURNAL SUMBER DAYA AIR Vol 16, No 1 (2020)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v16i1.483

Abstract

The mayority of landslide occur due to high rainfall in certain time in areas that have geological potential landslides. Therefore, it is necessary to conduct a research on rainfall characteristics that trigger landslides. So that, it can be used to establish the relationship between rainfall and predicted landslides. This research is aimed to analyze and determine the daily and 3 days rainfall thresholds used for landslides early warning system (LEWS). The case study is placed in both very high risks and high area landslide areas, based on the ground motion maps of the Geological Agency. The analysis was done based on landslide event data from BNPB, as well as TRMM (Tropical Rainfall Measuring Mission) and ECMWF (The European Center for Medium-Range Weather Forecasts) rainfall data. Identification of the rain trigger values from the TRMM rain data was done after collecting landslide incidents at various locations.. The results show that the rainfall threshold values are 61 mm per day and 91 mm per 3 days Keywords:  Rainfall treshold,landslide prediction, TRMM, ECMWF

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