scholarly journals STUDI KELAYAKAN WADUK CIKAWARI 2A DAN 5A DALAM RANGKA PEMENUHAN KEBUTUHAN AIR KOTA BANDUNG

2021 ◽  
Vol 12 (1) ◽  
pp. 53-64
Author(s):  
Cleon Christopher ◽  
Doddi Yudianto ◽  
Albert Wicaksono
Keyword(s):  
Water Demand ◽  
Service Reliability ◽  
Rainfall Runoff ◽  
Dry Period ◽  
Suitable Alternative ◽  
Closing The Gap ◽  
The Government ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Total Water Demand

The water need in the Northern area of Bandung City was predicted to be 2.49 m3/s in 2040. The government responded to this issue by planning the construction of several reservoirs in the Cikapundung watershed. A previous study suggested three potential locations, i.e., Cikukang 2, Cikawari 2A, and Cikawari 5A reservoir. Since Cikawari 2A and Cikawari 5A are located on the same Cikawari river, three construction alternatives, i.e., a single reservoir of Cikawari 2A, a single reservoir of Cikawari 5A, and cascade reservoir Cikawari 2A+5A are proposed. Each alternative has its own advantages and limitations, thus evaluation of the best construction alternative needs to be carried out. The evaluation was conducted based on their reliable service in supplying water to Bandung City. This evaluation was analyzed by comparing the projected water demand following population growth and water availability derived from the rainfall-runoff model, NRECA. The analysis was conducted using two variations of dam height and reservoir capacity for each alternative. Based on the analysis results, the single reservoir of Cikawari 2A with 45 m of dam’s height was chosen as the most suitable alternative. It can supply 0.56 m3/s of water and provide water for 30.4% of the citizens in 2020, and decrease to 30.15% in 2040. However, it was also found that the reservoir could only supply 0.44 m3/s of water during the dry period. These results showed that the construction of the reservoir itself could not meet the total water demand. Therefore, another alternative is required to closing the gap in water demand.Keywords: Cikapundung watershed, water supply, Cikawari reservoir, reservoir simulation, service reliability

scholarly journals Effects of streamflow isotope sampling strategies on the calibration of a tracer‐aided rainfall‐runoff model

2021 ◽  
Author(s):  
Jamie Lee Stevenson ◽  
Christian Birkel ◽  
Aaron J. Neill ◽  
Doerthe Tetzlaff ◽  
Chris Soulsby
Keyword(s):  
Sampling Strategies ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals Performance Evaluation of a Two-Parameters Monthly Rainfall-Runoff Model in the Southern Basin of Thailand

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1226
Author(s):  
Pakorn Ditthakit ◽  
Sirimon Pinthong ◽  
Nureehan Salaeh ◽  
Fadilah Binnui ◽  
Laksanara Khwanchum ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Rainfall Runoff ◽  
Management Planning ◽  
Runoff Variation ◽  
Groundwater Exchange ◽  
Monthly Runoff ◽  
Rainfall Runoff Model ◽  
Two Parameters ◽  
Runoff Model

Accurate monthly runoff estimation is crucial in water resources management, planning, and development, preventing and reducing water-related problems, such as flooding and droughts. This article evaluates the monthly hydrological rainfall-runoff model’s performance, the GR2M model, in Thailand’s southern basins. The GR2M model requires only two parameters: production store (X1) and groundwater exchange rate (X2). Moreover, no prior research has been reported on its application in this region. The 37 runoff stations, which are located in three sub-watersheds of Thailand’s southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. The Thornthwaite method was utilized for the determination of evapotranspiration. The model’s performance was conducted using three statistical indices: Nash–Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OI). The model’s calibration results for 37 runoff stations gave the average NSE, r, and OI of 0.657, 0.825, and 0.757, respectively. Moreover, the NSE, r, and OI values for the model’s verification were 0.472, 0.750, and 0.639, respectively. Hence, the GR2M model was qualified and reliable to apply for determining monthly runoff variation in this region. The spatial distribution of production store (X1) and groundwater exchange rate (X2) values was conducted using the IDW method. It was susceptible to the X1, and X2 values of approximately more than 0.90, gave the higher model’s performance.

Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity

2012 ◽  
Vol 26 (26) ◽  
pp. 3953-3961 ◽  
Author(s):  
Jiangmei Luo ◽  
Enli Wang ◽  
Shuanghe Shen ◽  
Hongxing Zheng ◽  
Yongqiang Zhang
Keyword(s):  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

Improvement of Nonlinear Rainfall-Runoff Model

1982 ◽  
Vol 108 (7) ◽  
pp. 813-822
Author(s):  
Otto J. Helweg ◽  
Jaime Amorocho ◽  
Ralph H. Finch
Keyword(s):  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals Hydrological Validation of a Radar-Based Nowcasting Technique

2005 ◽  
Vol 6 (4) ◽  
pp. 532-549 ◽  
Author(s):  
Marc Berenguer ◽  
Carles Corral ◽  
Rafael Sánchez-Diezma ◽  
Daniel Sempere-Torres
Keyword(s):  
Point Of View ◽  
Motion Field ◽  
Warning Systems ◽  
Rainfall Runoff ◽  
Weather Radars ◽  
Radar Echoes ◽  
Radar Measurements ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Better Than

Abstract Nowcasting precipitation is a key element in the anticipation of floods in warning systems. In this framework, weather radars are very useful because of the high resolution of their measurements both in time and space. The aim of this study is to assess the performance of a recently proposed nowcasting technique (S-PROG) from a hydrological point of view in a Mediterranean environment. S-PROG is based on the advection of weather radar fields according to the motion field derived with an algorithm based on tracking radar echoes by correlation (TREC), and it has the ability of filtering out the most unpredictable scales of these fields as the forecasting time increases. Validation of this nowcasting technique was done from two different perspectives: (i) comparing forecasted precipitation fields against radar measurements, and (ii) by means of a distributed rainfall runoff model, comparing hydrographs simulated with a hydrological model using rainfall fields forecasted by S-PROG against hydrographs generated with the model using the entire series of radar measurements. In both cases, results obtained by a simpler nowcasting technique are used as a reference to evaluate improvements. Validation showed that precipitation fields forecasted with S-PROG seem to be better than fields forecasted using simpler techniques. Additionally, hydrological validation led the authors to point out that the use of radar-based nowcasting techniques allows the anticipation window in which flow estimates are forecasted with enough quality to be sensibly extended.

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