Modeling of Event and Continuous Flow Hydrographs with HEC–HMS: Case Study in the Kelani River Basin, Sri Lanka

Silva, M. M. G. T. De; Weerakoon, S. B.; Herath, Srikantha

doi:10.1061/(asce)he.1943-5584.0000846

Cited by 87 publications

(52 citation statements)

References 5 publications

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“…The following models are used to estimate the runoff volume: the Initial and Constant-rate model, the Deficit and Constant-rate model, the Soil Conservation Service curve number (SCS-CN) model, and the Green and Ampt model [9,[14][15][16]. For the direct runoff, there is the SCS Unit Hydrography (SCS-UH) model, the Snyder's UH model, the Clark's UH model and the Kinematic-wave model [9,14,15]. For the routing (channel flow), there is the Lag model, the Muskingum model, the Modified Kinematic-wave model and the Muskingum Cunge model [9].…”

Section: Modeling Schemes and Methodologymentioning

confidence: 99%

Flood-Runoff in Semi-Arid and Sub-Humid Regions, a Case Study: A Simulation of Jianghe Watershed in Northern China

Jin

Liang

Wang

et al. 2015

Water

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This paper presents a modeling application of surface runoff using the Hydrologic Modelling System (HEC-HMS). A case study was carried out for the Jianghe watershed, a typical semi-arid and sub-humid geo-climatic region in northern China. Two modeling schemes using different descriptive sub-mechanism models provided by HEC-HMS for runoff volume, direct runoff and routing (channel flow) were investigated. The modeling results were compared with historical observation data. This work shows that HEC-HMS can be a suitable modeling tool for specific situations in China. With the appropriate selection of the sub-mechanism models, HEC-HMS can be applied to various situations, including the typical semi-arid and sub-humid conditions in northern China.

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Section: Modeling Schemes and Methodologymentioning

confidence: 99%

Flood-Runoff in Semi-Arid and Sub-Humid Regions, a Case Study: A Simulation of Jianghe Watershed in Northern China

Jin

Liang

Wang

et al. 2015

Water

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“…Verifica-se um desempenho superior, comparando com outros estudos que utilizaram o modelo HEC-HMS, (De Silva et al, 2014;Haberlandt e Radtke, 2014). Entretanto, em uma avaliação de três modelos hidrológicos na bacia hidrográfica do rio Una, no NEB, Carvalho Neto, Ribeiro Neto e Montenegro (2014) observaram desempenho semelhante entre o modelo HEC-HMS, um modelo concentrado (MODHAC) e um modelo distribuído por células (MGB-IPH).…”

Section: Análises Das Vazõesunclassified

Incertezas e erros na estimativa de vazões usando modelagem hidrológica e precipitação por RADAR

Cabral¹,

Sakuragi²,

Silveira³

2017

Rev. ambiente água

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RESUMOEsse artigo apresenta uma análise das incertezas e erros do modelo SCS-CN do Hydrologic Engineering Center -Hydrologic Modeling System (HEC-HMS), para eventos hidrológicos com dados de precipitação observada e estimada por RADAR na bacia do rio São Miguel em Alagoas, que controla uma área de 296 km². Foram utilizados dados fisiográficos para as estimativas iniciais dos parâmetros do SCS-CN. Em seguida, utilizando medidas simultâneas de precipitação e vazões observadas, os parâmetros foram calibrados. Utilizando-se dados independentes, os parâmetros calibrados foram validados. O coeficiente de desempenho mostrou valores de Nash-Sutcliffe de 0,93 na fase de calibração e valores entre 0,81 a 0,87 nas fases de validação. Em seguida, o modelo foi utilizado para eventos hidrológicos passados, usando dados de precipitação estimada por RADAR. Obteve-se coeficientes de Nash-Sutcliffe entre 0,75 a 0,79. O SCS-CN com as estimativas de precipitação pelo RADAR representou de forma adequada o tempo das vazões de pico, entretanto, subestimou a magnitude do pico com erros de até 26% em alguns eventos. A metodologia mostrou-se satisfatória para a bacia em estudo e pode ser uma ferramenta útil para aplicação em outras bacias hidrográfica prevendo possíveis inundações. Palavras-chave: gestão dos recursos hídricos, inundação, SCS. Uncertainties and errors flow estimate using hydrological modelling and precipitation by RADAR ABSTRACTThis work presents an analysis of uncertainties and errors of the SCS-CN model of the Hydrologic Engineering Center -Hydrologic Modeling System (HEC-HMS), for hydrological events using observed and RADAR-estimated precipitation data of the São Miguel River Basin in State of Alagoas, which covers an area of 296 km². Physiographic data of the basin were used to find the initial estimates of the SCS-CN parameters. Then, using simultaneous measurements of precipitation and observed flow, the parameters were calibrated. Using

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“…To bypass this obstacle, parameters calibrated in one scenario are directly used in the other scenario. The transfer of parameter values is based on the assumption that parameters in the two scenarios are interchangeable [9][10][11][12]. This is only partially true: some parameters (e.g., those related to topography) remain constant, whereas others depend on hydrologic patterns, especially precipitation.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model

Xie

Shen

Chen

et al. 2019

Water

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Hydrologic modeling is usually applied to two scenarios: continuous and event-based modeling, between which hydrologists often neglect the significant differences in model application. In this study, a comparison-based procedure concerning parameter estimation and uncertainty analysis is presented based on the Hydrological Simulation Program–Fortran (HSPF) model. Calibrated parameters related to base flow and moisture distribution showed marked differences between the continuous and event-based modeling. Results of the regionalized sensitivity analysis identified event-dependent parameters and showed that gravity drainage and storage outflow were the primary runoff generation processes for both scenarios. The overall performance of the event-based simulation was better than that of the daily simulation for streamflow based on the generalized likelihood uncertainty estimation (GLUE). The GLUE analysis also indicated that the performance of the continuous model was limited by several extreme events and low flows. In the event-based scenario, the HSPF model performances decreased as the precipitation became intense in the event-based modeling. The structure error of the HSFP model was recognized at the initial phase of the rainfall-event period. This study presents a valuable opportunity to understand dominant controls in different hydrologic scenario and guide the application of the HSPF model.

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Modeling of Event and Continuous Flow Hydrographs with HEC–HMS: Case Study in the Kelani River Basin, Sri Lanka

Cited by 87 publications

References 5 publications

Flood-Runoff in Semi-Arid and Sub-Humid Regions, a Case Study: A Simulation of Jianghe Watershed in Northern China

Flood-Runoff in Semi-Arid and Sub-Humid Regions, a Case Study: A Simulation of Jianghe Watershed in Northern China

Incertezas e erros na estimativa de vazões usando modelagem hidrológica e precipitação por RADAR

Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model

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