Evaluation on the Application of the Estimation of Time of Concentration Using Real Rainfall-Runoff Events in Small Forest Watershed

Kim, Jae-Hoon; Choi, Hyung Tae; Lim, Honggeun

doi:10.9798/kosham.2015.15.6.199

Cited by 3 publications

(7 citation statements)

References 10 publications

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“…When selecting a design flood using a modelling empirical equation, the duration of the designed precipitation should be determined; therefore, it is necessary to recommend an appropriate T C for the catchment [49]. Numerous formulas for estimating T C have been developed for different land uses and geometries [11].…”

Section: Discussionmentioning

confidence: 99%

“…Numerous formulas for estimating T C have been developed for different land uses and geometries [11]. This is because the surface flow is dominant, and empirical formulas using the stream slope and length are effective for mountain streams [2,49]. The estimated values were compared to the observed values [1,2,50].…”

Section: Discussionmentioning

confidence: 99%

“…Figure 5 shows the relationship between the observed and estimated T C based on multiple regression, the modified empirical formula, and the modified SCS Lag [49]. Using the multiple regression model, the estimated T C (mean ± SD) was 27.1 ± 11.0 min (range: 14.9-69.7 min).…”

Section: Relationship Between Observed and Estimated Time Of Concentr...mentioning

confidence: 99%

“…Thus, the multiple regression model allowed us to compare the relative contribution of each independent variable in the prediction of the dependent variable (Table 5). Additionally, we modified the empirical formula using the relationship between the stream slope and length and referred to it as the modified SCS Lag [49]. In general, the SCS Lag method is widely utilized in view of its reported applicability across a varied range of topography and catchment sizes [21].…”

Section: Identification Of Practical Approaches For Estimating the Ti...mentioning

confidence: 99%

“…McCuen et al [5] also commented on how the empirical formula had the smallest bias for catchments with considerable channel flow. From Kim et al [49], the modified SCS Lag was identified for six small forested catchments (area: 0.14-0.39 km 2 ) with slopes of over 30%. Because the equation was developed from heavily forested catchments to meadows, smooth land surfaces and large paved areas, modified SCS lag would be feasible to T C in small forested catchment [49].…”

Section: Identification Of Practical Approaches For Estimating the Ti...mentioning

confidence: 99%

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Characteristics and Estimation of the Time of Concentration for Small Forested Catchments in Steep Mountainous Terrain

Nam,

Lim,

Choi

et al. 2024

Forests

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Accurate modeling of flood flow hydrographs for small forested catchments in steep mountainous terrain is challenging because of large errors in the estimation of response time using existing empirical equations. The time of concentration (TC) for a catchment is a widely used time parameter for estimating peak discharges in hydrological designs. In this study, we developed an estimated TC using readily available mountain catchment variables, a small catchment, steep slope, and narrow valley, using empirical equations. For our approach, we used directly measured data from 39 forested catchments (area: 0.02–9.69 km2) during 3648 observed rainfall events over a 10-year observation period. Based on the uncertainties inherent in the empirical equation, the estimated TC values were compared and analyzed through multiple regression and two different modified empirical modelling equations using our observed catchment parameters. The mean TC was significantly correlated with catchment size and stream length but negatively correlated with stream slope (p < 0.01). As a result, the mean TC estimated using the three modelling equations with catchment variables was qualitatively similar and had relative differences ranging from −12.5 to 15.5 min (−49 to 56%). Therefore, the models (particularly modeling equations with multiple regression, a modified empirical formula, and modified SCS Lag) can efficiently determine the TC and can be used in any small forested catchment in steep mountainous terrain.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Relationship Between Observed and Estimated Time Of Concentr...mentioning

confidence: 99%

Section: Identification Of Practical Approaches For Estimating the Ti...mentioning

confidence: 99%

Section: Identification Of Practical Approaches For Estimating the Ti...mentioning

confidence: 99%

See 3 more Smart Citations

Characteristics and Estimation of the Time of Concentration for Small Forested Catchments in Steep Mountainous Terrain

Nam,

Lim,

Choi

et al. 2024

Forests

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show abstract

Temporal downscaling of daily precipitation to 10 min data for assessment of climate change impact on floods in small-size watersheds applied to Jinju, South Korea

Lee

Jo²,

Singh

2022

Clim Dyn

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Applying a coupled hydrometeorological simulation system to flash flood forecasting over the Korean Peninsula

Ryu

Lim

et al. 2017

Asia-Pacific J Atmos Sci

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Evaluation on the Application of the Estimation of Time of Concentration Using Real Rainfall-Runoff Events in Small Forest Watershed

Cited by 3 publications

References 10 publications

Characteristics and Estimation of the Time of Concentration for Small Forested Catchments in Steep Mountainous Terrain

Characteristics and Estimation of the Time of Concentration for Small Forested Catchments in Steep Mountainous Terrain

Temporal downscaling of daily precipitation to 10 min data for assessment of climate change impact on floods in small-size watersheds applied to Jinju, South Korea

Applying a coupled hydrometeorological simulation system to flash flood forecasting over the Korean Peninsula

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