scholarly journals Effect of Time-Area Percent Curves in Development of Clark Model Unit Hydrograph

2019 ◽  
Vol 52 (1) ◽  
pp. 29
Author(s):  
S. Rajkumar ◽  
S. Mohanarajah ◽  
H. M. Junaid
Keyword(s):  
Unit Hydrograph ◽  
Model Unit ◽  
Clark Model ◽  
Area Percent

Geomorphological Approach to the Skewed Shape of Instantaneous Unit Hydrograph

2015 ◽  
Vol 48 (2) ◽  
pp. 91-103
Author(s):  
Joo-Cheol Kim ◽  
◽  
Kwansue Jung ◽  
Dong Kug Jeong
Keyword(s):  
Unit Hydrograph ◽  
Instantaneous Unit Hydrograph

scholarly journals A Comparison of Some Methods of Deriving the Instantaneous Unit Hydrograph

1985 ◽  
Vol 16 (1) ◽  
pp. 1-10 ◽  
Author(s):  
V. P. Singh ◽  
C. Corradini ◽  
F. Melone
Keyword(s):  
Peak Flow ◽  
Central Italy ◽  
Effective Rainfall ◽  
Unit Hydrograph ◽  
Time To Peak ◽  
Wide Range ◽  
Instantaneous Unit Hydrograph ◽  
Similar Accuracy ◽  
Two Parameters ◽  
Range Of Values

The geomorphological instantaneous unit hydrograph (IUH) proposed by Gupta et al. (1980) was compared with the IUH derived by commonly used time-area and Nash methods. This comparison was performed by analyzing the effective rainfall-direct runoff relationship for four large basins in Central Italy ranging in area from 934 to 4,147 km2. The Nash method was found to be the most accurate of the three methods. The geomorphological method, with only one parameter estimated in advance from the observed data, was found to be little less accurate than the Nash method which has two parameters determined from observations. Furthermore, if the geomorphological and Nash methods employed the same information represented by basin lag, then they produced similar accuracy provided the other Nash parameter, expressed by the product of peak flow and time to peak, was empirically assessed within a wide range of values. It was concluded that it was more appropriate to use the geomorphological method for ungaged basins and the Nash method for gaged basins.

Storm resampling for uncertainty analysis of a multiple-storm unit hydrograph

1997 ◽  
Vol 194 (1-4) ◽  
pp. 366-384 ◽  
Author(s):  
Bing Zhao ◽  
Yeou-Koung Tung ◽  
Keh-Chia Yeh ◽  
Jinn-Chuan Yang
Keyword(s):  
Uncertainty Analysis ◽  
Unit Hydrograph

Reply to comment on ?A geomorphological explanation of the unit hydrograph concept? by C. Fleurant and P. Boulestreau

2005 ◽  
Vol 19 (2) ◽  
pp. 545-547
Author(s):  
C. Cudennec ◽  
Y. Fouad ◽  
I. Sumarjo Gatot
Keyword(s):  
Unit Hydrograph

scholarly journals Derivation of S-Curve from Oscillatory Hydrograph Using Digital Filter

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1456
Author(s):  
Kee-Won Seong ◽  
Jang Hyun Sung
Keyword(s):  
Digital Filter ◽  
Model Performance ◽  
Performance Criteria ◽  
Rainfall Runoff ◽  
Small Watershed ◽  
Unit Hydrograph ◽  
Time To Peak ◽  
S Curve ◽  
And Performance ◽  
Smooth Data

An oscillatory S-curve causes unexpected fluctuations in a unit hydrograph (UH) of desired duration or an instantaneous UH (IUH) that may affect the constraints for hydrologic stability. On the other hand, the Savitzky–Golay smoothing and differentiation filter (SG filter) is a digital filter known to smooth data without distorting the signal tendency. The present study proposes a method based on the SG filter to cope with oscillatory S-curves. Compared to previous conventional methods, the application of the SG filter to an S-curve was shown to drastically reduce the oscillation problems on the UH and IUH. In this method, the SG filter parameters are selected to give the minimum influence on smoothing and differentiation. Based on runoff reproduction results and performance criteria, it appears that the SG filter performed both smoothing and differentiation without the remarkable variation of hydrograph properties such as peak or time-to peak. The IUH, UH, and S-curve were estimated using storm data from two watersheds. The reproduced runoffs showed high levels of model performance criteria. In addition, the analyses of two other watersheds revealed that small watershed areas may experience scale problems. The proposed method is believed to be valuable when error-prone data are involved in analyzing the linear rainfall–runoff relationship.

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