Determination of Clark’s Unit Hydrograph Parameters for Watersheds

Che, Daniel; Nangare, Mandar; Mays, Larry W.

doi:10.1061/(asce)he.1943-5584.0000796

Cited by 13 publications

(3 citation statements)

References 2 publications

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“…Additional details on the Clark unit hydrography can be explored in (Che et al, 2014). The Modclark uses a simple linear convolution equation: • SCS (Soil Conservation Service) Unit Hydrograph Method: The SCS method employs a time-area approach to develop a unit hydrograph that represents the response of a watershed to a unit depth of excess rainfall.…”

Section: Hec-hms Model 255mentioning

confidence: 99%

Comment on nhess-2024-20

2024

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Section: Hec-hms Model 255mentioning

confidence: 99%

Comment on nhess-2024-20

2024

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“…This model addresses two important processes in the transformation of P e into DSR (CLARK, 1945): attenuation, which takes into account the reduction of streamflows generated by P e due to storage in the watershed and translation, which considers the time lag between P e in the watershed and its contribution to streamflow at the outlet. According to Che, Nangare and Mays (2014), the model requires the definition of the following parameters: time of concentration (t c ) of the watershed and storage coefficient (R). Thus, its equation is given by:…”

Section: Clark's Instantaneous Unit Hydrographmentioning

confidence: 99%

Spatial discretization influence on flood modeling using unit hydrograph theory

Steinmetz

Beskow

Terra

et al. 2019

RBRH

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The Unit Hydrograph (UH) is the most popular method for flood related applications. There are several conceptual and geomorphological models based on UH and coupled with different spatial discretizations. However, there are few studies concerning the evaluation of UH models according to semi-distributed approaches. This study aimed to assess the influence of lumped and semi-distributed modeling on the applicability of Soil Conservation Service UH (SCS UH) and Clark’s Instantaneous UH (Clark’s IUH) for estimation of flood hydrographs. The methodological procedures were conducted in the Hydrological Modeling System (HEC-HMS) using rainfall-runoff events of a gauged watershed in Southern Brazil. The main conclusions were: a) CIUH under the semi-distributed approach provided slightly superior performance; b) CIUH was able to effectively estimate the direct surface runoff hydrographs even for long duration rainfall events; c) SCS UH presented more accurate hydrographs for lumped modeling; d) the Nelder and Mead algorithm may have limited application.

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“…They defined proportionality in a very explicit way, if there is a point X on a line segment (Figure 1) (Akhtaruzzaman & Shafie, 2012;Kalajdzievski, 2008) such that Eq. (1) is true (Che et al, 2014), these ratios Eq. (1) are called golden ratio and the point X is called golden cut.…”

mentioning

confidence: 93%

Golden Exponential Smoothing: A Self-Adjusted Method for Identifying Optimum Alpha

Foo¹,

Suhaimi²,

Yoke³

2020

MJoC

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The conventional double exponential smoothing is a forecasting method that troubles the forecaster with a tremendous choice of its parameter, alpha. The choice of alpha would greatly influence the accuracy of prediction. In this paper, an integrated forecasting method named Golden Exponential Smoothing (GES) was proposed to solve the problem. The conventional method was reformed and interposed with golden section search such that an optimum alpha which minimizes the errors of forecasting could be identified in the algorithm training process. Numerical simulations of four sets of times series data were employed to test the efficiency of GES model. The findings show that the GES model was self-adjusted according to the situation and converged fast in the algorithm training process. The optimum alpha, which was identified from the algorithm training stage, demonstrated good performance in the stage of Model Testing and Usage.

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Determination of Clark’s Unit Hydrograph Parameters for Watersheds

Cited by 13 publications

References 2 publications

Comment on nhess-2024-20

Comment on nhess-2024-20

Spatial discretization influence on flood modeling using unit hydrograph theory

Golden Exponential Smoothing: A Self-Adjusted Method for Identifying Optimum Alpha

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