Simulation of extreme event-based rainfall–runoff process of an urban catchment area using HEC-HMS

Natarajan, Surendar; Radhakrishnan, Nisha

doi:10.1007/s40808-019-00644-5

Cited by 45 publications

(12 citation statements)

References 24 publications

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“…This is included in the semi-distributed model and can be applied to various watershed characteristics(Patil et al, 2019). The structure of this model consists of four components of the Basin Model, Meteorological Model, Control Specification and Time-Series Data(Natarajan et al, 2019). This model also has five important parameters for Subbasin Area analysis namely Canopy, Surface, Loss, Transform, and Baseflow and two parameters for reach analysis namely Routing and Loss/Gain (Bay et al, 2019).Important equations in the HEC-HMS Model used in this study are: Surface runoff volume.…”

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confidence: 99%

Impact of Landslides Induced by the 2018 Palu Earthquake on Flash Flood in Bangga River Basin, Sulawesi, Indonesia

Tunas¹,

Tanga²,

Oktavia³

2020

J. Ecol. Eng.

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High magnitude flash flood has occurred several times in some areas in Central Sulawesi Province after the 2018 Palu Earthquake, one of them is in the Bangga River, Sigi Regency, Indonesia. It has caused massive impacts such as damaging agricultural and plantation areas and submerging public facilities and infrastructure and even causing fatalities. The flood carries a variety of materials, especially high concentration sediments which are thought to originate from eroded soils due to landslides induced by a 7.5 magnitude earthquake. These materials are eroded and transported by the flow at the upstream watershed due to heavy rainfall. This study intends to investigate the potential of landslides, factors that trigger floods and increased flooding after the earthquake. This research was conducted by investigating the landslides potency based on field surveys and interpretation of the latest satellite imagery, analyzing the characteristics of rainfall as a trigger for flooding, and predicting the flood potency as the primary impact of these two factors. Rainfall-flood transformation was simulated with the HEC-HMS Model, one of the freeware semi-distributed models commonly used in hydrological analysis. The model input is the configuration of river networks generated from the National DEM (DEMNAS), hourly rainfall during floods and other watershed parameters such as land cover, soil types and river slope. The similar simulation was also carried out on the condition of the watershed before the earthquake. Based on the results of the analysis, It can be inferred that flash floods in the Bangga River are mainly caused by heavy rainfall with long duration and landslide areas in the upper watershed triggered by the 2018 Palu Earthquake with an area of approximately 10.8 km 2 . The greatest depth of rainfall as a trigger for flooding is 30.4 mm with a duration of 8 hours. The results of the study also showed that landslides in the upper watershed could increase the peak flood by 33.33% from 118.56 m 3 /s to 158.08 m 3 /s for conditions before and after the earthquake.

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confidence: 99%

Impact of Landslides Induced by the 2018 Palu Earthquake on Flash Flood in Bangga River Basin, Sulawesi, Indonesia

Tunas¹,

Tanga²,

Oktavia³

2020

J. Ecol. Eng.

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“…The HEC-HMS program was a computer program for calculating rainfall transformations and routing processes in a watershed system. HEC-HMS is widely used for many exploratory studies due to its simplicity and it is freely available as an open-source software [6]. HEC-HMS has provided calibration facilities, distribution model simulations, and the ability to read GIS data [7,8].…”

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confidence: 99%

Comparison of the application of HBV and HEC-HMS hydrology models for accessing climate change in the upper Citarum Watershed, Indonesia

Ningrum,

Apip,

Narulita

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Hydrologically, the upper Citarum watershed was critically damaged. This study propose to compare HBV and HEC-HMS model performance for estimating discharge in upper Citarum watershed. Besides, this study wants to know changes in discharge in the future as a result of climate changes. Discharge simulation was carried out with the HBV and HEC HMS models in the period 2006-2007 as calibration and 2008 as validation. Meanwhile, future discharge changes are calculated in 2045 based on climate model projections output from CORDEX namely MPI, CNRM, EcEarth, and CSIRO. Model performance is calculated based on the value of statistical bias, NSE, and correlation. The results showed that HEC-HMS model has bias, NSE, and corellation value of 6.33, 0.57, and 0.8. Whereas, the HBV values are 3.67, 0.61, and 0.76. Therefore, based on NSE and bias value, the HBV model performs slightly better than the HEC-HMS in upper Citarum watershed. There are an increase in the daily discharge by RCP4.5 scenario. In contrast, the daily discharge by RCP8.5 decreased in upper Citarum.

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“…HEC-HMS hydrologic model is a set of hydraulic engineering application models developed by the Hydrologic Engineering Center (HEC) of the U.S. Army Corps of Engineers, which has the features of simple operation, few parameters, clear principles and free open source, and can perform different combinations of production and confluence, channel evolution and baseflow calculations, so as to better fit the actual runoff process. For example, the HEC-HMS hydrological model has been applied to the Tista watershed in India [1], the Tiruchirapalli city in southern India [2], and the Mekelle watershed in Algeria [3], where there are no data available. The domestic applications are also more widespread, and the studies on HEC-HMS hydrological model include the influence of topographic data accuracy on parameters, the influence of parameter variation on flood simulation results in the basin and the comparison of two model applications, etc [4][5].…”

Section: Introductionmentioning

confidence: 99%

“…The SCS unit line is an empirical model derived by the USDA Soil Conservation Service from a large amount of rainfall and runoff data, in which the relationship between the peak unit line Up and the flood lag time 2tlag is2 2Where: A is the watershed area; C is the conversion constant with a value of 2.08 and ∆t is the net rainfall calendar time. Therefore, the input parameter of the SCS unit line method is the watershed lag time tlag (h), which can be obtained…”

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Simulation study of flash floods in Gaozhuang River basin based on HEC-HMS model

Ma,

Sang,

Liu

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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The importance of achieving rapid simulation of flash flood processes in small watershed flash flood prevention is becoming more and more prominent. The HEC-HMS hydrological model is used to simulate flash floods in the Gaozhuang River basin, and different scenarios of the production and confluence combination are used to improve the simulation accuracy. The SCS curve-SCS unit line method is selected as scenario 1, and scenario 2 is the initial loss-post loss-Snyder unit line method, and seven floods from 1976 to 2001 in the Gaozhuang River basin are selected for runoff simulation, and then the Muskingum method is used for river evolution to obtain The simulated flood process in the study area, and finally, five of the measured flood data were selected to rate the model parameters under different scenarios, and then two floods were used to verify the parameters. In the rate period, the parameters of scenario 1 are better than those of scenario 2 in terms of peak-now average time difference, average relative error of flood flow, and average relative error of flood volume, which are 0.14h and 0.27h, 6.85% and 8.31%, 6.32% and 11.42%, respectively, and the average Nash efficiency coefficient is 0.85 for scenario 1 and 0.75 for scenario 2; the The simulation accuracy of the validation period is lower than the rate periodically. This study proves that the HEC-HMS model has good applicability in the simulation of flash floods in the Gaozhuang River basin, and determines the optimal combination of production and confluence scheme applicable to the Gaozhuang River basin, which contributes to the flash flood forecasting in small basins in the hilly area.

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Simulation of extreme event-based rainfall–runoff process of an urban catchment area using HEC-HMS

Cited by 45 publications

References 24 publications

Impact of Landslides Induced by the 2018 Palu Earthquake on Flash Flood in Bangga River Basin, Sulawesi, Indonesia

Impact of Landslides Induced by the 2018 Palu Earthquake on Flash Flood in Bangga River Basin, Sulawesi, Indonesia

Comparison of the application of HBV and HEC-HMS hydrology models for accessing climate change in the upper Citarum Watershed, Indonesia

Simulation study of flash floods in Gaozhuang River basin based on HEC-HMS model

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