Evaluation of three unit hydrograph models to predict the surface runoff from a Canadian watershed

2006 ◽  
Vol 21 (7) ◽  
pp. 1127-1143 ◽  
Author(s):  
A. Sarangi ◽  
C. A. Madramootoo ◽  
P. Enright ◽  
S. O. Prasher
Soil Research ◽  
1985 ◽  
Vol 23 (3) ◽  
pp. 373 ◽  
Author(s):  
WC Boughton ◽  
DM Freebairn

Five-min recession constants were calculated for surface runoff and interflow using hydrographs of runoff from five 1-ha catchments at Greenmount near Toowoomba in south-east Queensland. The recession constants were converted to half-flow periods, i.e. the time required for flow rate to halve during an exponential recession. The half-flow periods of surface runoff and interflow on the 1 ha catchment are compared with published data from catchments of much larger size in New South Wales, and it is shown that the ratio of interflow half-flow period to surface runoff half-flow period does not vary much over six orders of magnitude of catchment size. Calculations of maximum rates of interflow and volumes of interflow storage show that both rates and volumes are possible in the plough depth of surface soil. The results support the evidence of interflow obtained earlier in unit hydrograph studies of runoff on these same catchments.


2017 ◽  
Vol 7 (2) ◽  
pp. 124
Author(s):  
Abdur Rahman ◽  
Akhmad Murjani

This research aims to simulate the arrival time of flood from upstream to downstream by using watershed data characteristic as early anticipation step as the early warning in flood disaster management that happened in Regency of Banjar by using unit hydrograph.Data Analysis Methods used to determine the simulation of the arrival time of the flooding using the Nakayasu Unit Hydrograph method combined with the SRTM satellite image data application then integrated with the Geographic Information System (GIS).The results showed that the Martapura River Basin, Banyiur River Basin, and Jaranang River Basin occurred flow debit or surface runoff (Qp) of 7.095 m3/s. This is because Martapura River Basin, Banyiur River Basin, and Jaranang River Basin have long river characteristic of 19.46 km and wide watershed 86.97 km2. Assuming that the rain is falling evenly in Martapura River Basin, Banyiur River Basin, and  Jaranang River Basin, it can be simulated that flood peak (Tp) occurs after 2.20 hours and will reach downstream of the river (T0,3) after 2.75 hours.


2017 ◽  
Vol 11 (1) ◽  
pp. 173-182
Author(s):  
Andreea Mihalcea

Abstract The aim of this article is to demonstrate the afforestation role in maximum surface runoff. In this way, it was made a comparison of simulated flows in the current conditions of afforestation and the simulated flows in conditions of applying both afforestation and deforestation scenarios in Valea Rece catchment. Through HEC-HMS 4.1 hydrologic modeling software, using the method of unit hydrograph SCS Curve Number, were simulated flow of the river Valea Rece closing section of the basin, where precipitation amounts of 30,50,80,120 mm fallen in intervals of 1.3 to 6 hours on a soil with varying degrees of moisture: dry soil, average soil moisture and high humidity. This was done for the current degree of afforestation basin, for the results from a possible afforestation that would increase the afforestation degree to 80%, and for a possible deforestation that would lead to a degree of afforestation 15 %.


Soil Research ◽  
1981 ◽  
Vol 19 (2) ◽  
pp. 121 ◽  
Author(s):  
WC Boughton ◽  
DM Freebairn

Unit hydrographs (5-min 1 mm) were derived from six storms in the period November 1976 to March 1979 on a 1.2 ha catchment at Greenmount, about 25 km south of Toowomba in south-east Queensland. Peak rates of runoff in the six storms ranged from 1,12mm/h to 50.13 mm/h. All unit hydrographs were derived from multiperiod storms using an iterative procedure. Considerable variation occurred among the unit hydrographs with peak ordinate values ranging from 2.18 mm/h to 9.45 mm/h. It was found that each unit hydrograph could be separated into two components, surface runoff and interflow. The proportion of surface runoff in the unit hydrograph increased as the intensity of rainfall excess increased, and ranged from 5% in the storm with peak runoff of 1.12 mm/h to 86% in the storm with peak runoff of 50.13 mm/h. A large amount of runoff from the catchment occurred as interflow, consisting of water moving downslope through the porous cultivated surface layers of soil. The traditional separation of interflow from surface runoff prior to derivation of the unit hydrograph could not be done because of the complexity of the storm patterns. The study showed that it is possible to derive unit hydrographs which include an interflow component and to separate surface runoff and interflow in the unit hydrograph itself. A simple model was developed in which the proportions of surface runoff and interflow were allowed to vary from storm to storm. The proportions were adjusted by trial and error to match estimated runoff with actual runoff. The simple model reproduced observed runoff hydrographs with only minor errors of fit. The surface runoff component of the simple model behaved in accordance with traditional linear unit hydrograph theory. Variations in the unit hydrographs were accounted for by variations in the proportions of surface runoff and interflow from storm to storm.


1989 ◽  
Vol 16 (5) ◽  
pp. 669-677
Author(s):  
G. G. Patry ◽  
A. Kennedy ◽  
S. Potter

Hydrological models are now routinely used in planning, design, operation, and control of water resources systems. However, all models, no matter how complex, are approximations of the real world and consequently are subject to various levels of errors. The analysis of uncertainty in hydrological models can provide valuable insight into the limitations and advantages of various surface runoff models. The benefits derived from such an analysis are many: first, it provides the modeller with a direct estimate of runoff prediction errors under specific rainfall conditions; second, it enables the user to analyze the trade-offs between different rainfall-runoff models; and finally, it can provide useful information for the design of data collection systems designed to achieve a given level of performance. This paper describes the application of uncertainty analysis to rainfall-runoff modelling under noise-corrupted rainfall conditions. The statistical properties of surface runoff subject to noise-corrupted rainfall conditions are examined. Methods of analysis described in this paper include (a) derived probability distribution, (b) first-order analysis, and (c) Monte Carlo simulations. The techniques are applied to linear and nonlinear runoff models, including the unit hydrograph, and the Soil Conservation Service model. Key words: runoff, uncertainty, error analysis, statistics, stochastic modelling, first-order analysis, Monte Carlo simulation, SCS model, unit hydrograph.


Jurnal Tekno ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 32-43
Author(s):  
Henggar Risa Destania ◽  
Achmad Syarifudin

Sekanak watershed is a basin in Palembang which is often affected by flood during the rainy season. The characteristics of the watershed by the impact of changes in land-use  by economic and settlement developments. Sekanak watershed has 3 retention ponds which have the function of accommodating temporary discharge during floods. The catchment capacity of the watershed soil type, storage conditions etc. Therefore we need an analysis of the transformation of rainfall data in the watershed into a flow at the watershed control point and an analysis of the transformation of runoff volume (effective rain) into a surface runoff hydrograph (unit hydrograph). Hydrographs measured at a watershed control point are the response or output from rain that falls on a watershed system. The size of the watershed depend on the watershed system. This is closely related in analyzing the availability of water that occurs in the watershed system.


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