Investigating Parameters of Geomorphic Direct Runoff Hydrograph Models

The grid cell-based routing model has recently been used to simulate direct runoff hydrographs at catchment scales. This study develops a flexible event-based runoff routing algorithm to simulate a direct runoff hydrograph (DRH). The experiment was based on the spatiotemporal inputs of a hydrological data set. The flexibility is based on the time step and grid cell size applied in the original STORE-DHM. Rainfall distribution was obtained using radar data adjusted by the measured point ground, while the runoff yield was determined using the NRCS-CN method. The parameter distribution was captured in the GIS environment as raster data formats. Furthermore, it was converted into ASCII data formats for scripting the routing algorithm using Matlab programming codes. The model algorithm was tested for storm events within two small study river systems in Yogyakarta, Indonesia. One event in each catchment was selected and calibrated to the observed hydrograph, treating the Curve Number (CN) and Manning coefficient (n) values as parameter calibrations. In the end, two events were selected for validation. The proposed routing model algorithm simulates DRHs of all selected events in the study areas with excellent performance. The Nash-Sutcliffe coefficient was greater than 0.75 for all DRH during validation, and the volume bias and peak discharge error were less than 25%. Keywords: Algorithm; Cell-based runoff routing; Travel time; GIS; Direct runoff hydrograph. Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM

Water ◽

10.3390/w11030611 ◽

2019 ◽

Vol 11 (3) ◽

pp. 611 ◽

Cited By ~ 7

Author(s):

Sharif Hossain ◽

Guna Alankarage Hewa ◽

Subhashini Wella-Hewage

Keyword(s):

Goodness Of Fit ◽

Model Performance ◽

South Australia ◽

Comparative Performance ◽

Direct Runoff ◽

Continuous Simulation ◽

Runoff Hydrograph ◽

Total Runoff ◽

Event Based ◽

Runoff Hydrographs

This study investigates the comparative performance of event-based and continuous simulation modelling of a stormwater management model (EPA-SWMM) in calculating total runoff hydrographs and direct runoff hydrographs. Myponga upstream and Scott Creek catchments in South Australia were selected as the case study catchments and model performance was assessed using a total of 36 streamflow events from the period of 2001 to 2004. Goodness-of-fit of the EPA-SWMM models developed using automatic calibration were assessed using eight goodness-of-fit measures including Nash–Sutcliff efficiency (NSE), NSE of daily high flows (ANSE), Kling–Gupta efficiency (KGE), etc. The results of this study suggest that event-based modelling of EPA-SWMM outperforms the continuous simulation approach in producing both total runoff hydrograph (TRH) and direct runoff hydrograph (DRH).

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KESESUAIAN HIDROGRAF SATUAN SINTETIK TERHADAP HIDROGRAF SATUAN TERUKUR(STUDI KASUS SUB SUB DAERAH ALIRAN SUNGAI PEDINDANG BAGIAN TENGAH)

FROPIL (Forum Profesional Teknik Sipil) ◽

10.33019/fropil.v6i1.1263 ◽

2018 ◽

Vol 6 (1) ◽

pp. 29-44

Author(s):

Gustama Gustama ◽

Fadillah Sabri ◽

Donny Fransiskus Manalu

Keyword(s):

River Basin ◽

River Flow ◽

Peak Discharge ◽

Rainfall Data ◽

Flood Events ◽

Unit Hydrograph ◽

Direct Runoff ◽

Record Data ◽

Synthetic Unit Hydrograph ◽

Direct Runoff Hydrograph

A widely used method for analyzing river flow for flood forecasts is hydrograph unit. The hydrograph unit is a direct runoff hydrograph that can be created when there are AWLR record data, debit measurements and rainfall data. Synthetic Unit Hydrograph (SUH) is a unit hydrograph derived based on river data in the same watershed or nearby watershed but has the same characteristics, ie HSS Gama I, HSS Nakayasu, Limasan HSS, HSS Snyder and HSS SCS. Of the two hydrographs, there will be suitability of the hydrograph form that is going to be made. Sub territory of Pedindang River Basin has four flood incidents, namely, date 23-24 February 2016; March 2-3, 2016; March 3-4, 2016; and date 5-6 March 2016. In the analysis of each flood event, the peak discharge of synthetic unit hydrograph is very different from the peak discharge of the measured unit hydrograph. The average peak discharge of synthetic unit hydrograph occurs in the range of 2 or 3 hours, while the measured unit hydrograph of Pedindang River occurs in the range of 7 or 8 hours. In four flood events it is stated that, HSS Gama I approaches RMSE value (validation <10%) to HST form of Pedindang River with value: RMSE incidence I (23,601%); RMSE incidence II (16.315%); RMSE incidence III (50,400%); RMSE incidence IV (22.322%). With this result, it is stated that there is no synthetic unit hydrograph model that has compatibility with the measured unit hydrograph of Pedindang River.

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Impacts of Permeable Interlocking Concrete Pavement on the Runoff Hydrograph: Volume Reduction, Peak Flow Mitigation, and Extension of Lag Times

Hydrological Processes ◽

10.1002/hyp.14167 ◽

2021 ◽

Author(s):

R. Andrew Tirpak ◽

Ryan J. Winston ◽

Melissa Feliciano ◽

Jay D. Dorsey ◽

Thomas H. Epps

Keyword(s):

Peak Flow ◽

Concrete Pavement ◽

Volume Reduction ◽

Reduction Peak ◽

Runoff Hydrograph ◽

Permeable Interlocking Concrete Pavement ◽

Lag Times

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Lognormal Distribution and Direct Runoff

Building Partnerships ◽

10.1061/40517(2000)393 ◽

2000 ◽

Author(s):

Nazeer Ahmed

Keyword(s):

Lognormal Distribution ◽

Direct Runoff

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Improving runoff estimates from regional climate models: a performance analysis in Spain

Hydrology and Earth System Sciences ◽

10.5194/hess-16-1709-2012 ◽

2012 ◽

Vol 16 (6) ◽

pp. 1709-1723 ◽

Cited By ~ 18

Author(s):

D. González-Zeas ◽

L. Garrote ◽

A. Iglesias ◽

A. Sordo-Ward

Keyword(s):

Time Series ◽

Large Scale ◽

Climate Models ◽

Regional Climate ◽

Aridity Index ◽

Regional Climate Models ◽

Hydrologic Model ◽

Direct Runoff ◽

Interpolation Methods ◽

Basin Scale

Abstract. An important step to assess water availability is to have monthly time series representative of the current situation. In this context, a simple methodology is presented for application in large-scale studies in regions where a properly calibrated hydrologic model is not available, using the output variables simulated by regional climate models (RCMs) of the European project PRUDENCE under current climate conditions (period 1961–1990). The methodology compares different interpolation methods and alternatives to generate annual times series that minimise the bias with respect to observed values. The objective is to identify the best alternative to obtain bias-corrected, monthly runoff time series from the output of RCM simulations. This study uses information from 338 basins in Spain that cover the entire mainland territory and whose observed values of natural runoff have been estimated by the distributed hydrological model SIMPA. Four interpolation methods for downscaling runoff to the basin scale from 10 RCMs are compared with emphasis on the ability of each method to reproduce the observed behaviour of this variable. The alternatives consider the use of the direct runoff of the RCMs and the mean annual runoff calculated using five functional forms of the aridity index, defined as the ratio between potential evapotranspiration and precipitation. In addition, the comparison with respect to the global runoff reference of the UNH/GRDC dataset is evaluated, as a contrast of the "best estimator" of current runoff on a large scale. Results show that the bias is minimised using the direct original interpolation method and the best alternative for bias correction of the monthly direct runoff time series of RCMs is the UNH/GRDC dataset, although the formula proposed by Schreiber (1904) also gives good results.

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