Improved rational hydrograph method

Crobeddu, Éric; Bennis, Saâd; Rhouzlane, S.

doi:10.1016/j.jhydrol.2007.02.020

Cited by 17 publications

(10 citation statements)

References 11 publications

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“…The development of the unit hydrograph enabled hydrologists to predict the hydrological response to any amount of rainfall. Despite the restrictive assumptions of these classical methods (namely, a linear, time-invariant system), they are still commonly used in engineering practice (e.g., Titmarsh et al, 1995;Stringer, 2000;Cleveland et al, 2008), although modified versions have been derived that relax these assumptions (e.g., Saghafian, 2006;Crobeddu et al, 2007). Still, the recognition of these limitations in the 1950s led to the development of increasingly conceptual models of the unit hydrograph relating the hydrograph shape to watershed characteristics (Todini, 1988).…”

Section: Approaches To Hydrological Modellingmentioning

confidence: 99%

Streamflow Modelling: A Primer on Applications, Approaches and Challenges

2012

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This article examines the current practice of streamflow modelling, a field under development for over a century. A sample of the wide range of assessment and planning applications of streamflow models is presented. The diversity in the use of these models is mirrored in the diversity of model complexity, and modelling approaches ranging from empirical to physically based and from lumped to fully distributed are described with examples. Predictions derived from hydrological models are subject to many sources of error; these are discussed along with methods for error minimization or anticipation. Model error is generally quantified using an ensemble of forecasts meant to sample the range of predictive uncertainty. This ensemble can be used to generate reliable probabilistic forecasts of hydrological quantities if all sources of error are accounted for. To date, applications of ensemble methods in streamflow forecasting have typically focused on only one or two error sources. A challenge will be to develop ensemble streamflow forecasts that sample a wider range of predictive uncertainty.

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Section: Approaches To Hydrological Modellingmentioning

confidence: 99%

Streamflow Modelling: A Primer on Applications, Approaches and Challenges

2012

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“…Impervious areas are commonly subdivided into those directly connected to the man‐made drainage system (also known as effective urban areas), and those lacking direct hydraulic connection . Using this simplified representation, a number of hydrological models treat runoff generation as two separate systems, which when combined form the total runoff response …”

Section: Integrated Modeling and ‘Big Data’mentioning

confidence: 99%

“…80 Using this simplified representation, a number of hydrological models treat runoff generation as two separate systems, which when combined form the total runoff response. [81][82][83][84] A key consideration for urban impacts on runoff response is scale. For example, at very local level, particular features such as local storage ponds and the layout of the sewer system layout are likely to significantly affect runoff.…”

Section: Rainfall-runoff Modelingmentioning

confidence: 99%

Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements

et al. 2016

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Increasingly, the application of models in urban hydrology has undergone a shift toward integrated structures that recognize the interconnected nature of the urban landscape and both the natural and engineered water cycles. Improvements in computational processing during the past few decades have enabled the application of multiple, connected model structures that link previously disparate systems together, incorporating feedbacks and connections. Many applications of integrated models look to assess the impacts of environmental change on physical dynamics and quality of landscapes. Whilst these integrated structures provide a more robust representation of natural dynamics, they often place considerable data requirements on the user, whereby data are required at contrasting spatial and temporal scales which can often transcend multiple disciplines. Concomitantly, our ability to observe complex, natural phenomena at contrasting scales has improved considerably with the advent of increasingly novel monitoring technologies. This has provided a pathway for reducing model uncertainty and improving our confidence in modeled outputs by implementing suitable monitoring regimes. This commentary assesses how component models of an exemplar integrated model have advanced over the past few decades, with a critical focus on the role of monitoring technologies that have enabled better identification of the key physical process. This reduces the uncertainty of processes at contrasting spatial and temporal scales, through a better characterization of feedbacks which then enhances the utility of integrated model applications

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“…It is recognized that the rainfall infiltrating into pervious areas contributes to the river base flow in natural rivers. However, the pervious areas were assumed not to contribute to direct runoff hydrographs until excess rainfall occurs in urban catchments (Boyd et al, 1993;Crobeddu et al, 2007;Gironas et al, 2009;Cantone 2010), which was the same with IIA.…”

Section: Introductionmentioning

confidence: 99%

Contribution of directly connected and isolated impervious areas to urban drainage network hydrographs

Seo

Choi

Schmidt

2013

Hydrol. Earth Syst. Sci.

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Abstract. This paper addresses the mass balance error observed in runoff hydrographs in urban watersheds by introducing assumptions regarding the contribution of infiltrated rainfall from pervious areas and isolated impervious area (IIA) to the runoff hydrograph. Rainfall infiltrating into pervious areas has been assumed not to contribute to the runoff hydrograph until Hortonian excess rainfall occurs. However, mass balance analysis in an urban watershed indicates that rainfall infiltrated to pervious areas can contribute directly to the runoff hydrograph, thereby offering an explanation for the long hydrograph tail commonly observed in runoff from urban storm sewers. In this study, a hydrologic analysis based on the width function is introduced, with two types of width functions obtained from both pervious and impervious areas, respectively. The width function can be regarded as the direct interpretation of the network response. These two width functions are derived to obtain distinct response functions for directly connected impervious areas (DCIA), IIA, and pervious areas. The results show significant improvement in the estimation of runoff hydrographs and suggest the need to consider the flow contribution from pervious areas to the runoff hydrograph. It also implies that additional contribution from flow paths through joints and cracks in sewer pipes needs to be taken into account to improve the estimation of runoff hydrographs in urban catchments.

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Improved rational hydrograph method

Cited by 17 publications

References 11 publications

Streamflow Modelling: A Primer on Applications, Approaches and Challenges

Streamflow Modelling: A Primer on Applications, Approaches and Challenges

Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements

Contribution of directly connected and isolated impervious areas to urban drainage network hydrographs

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