Alternative for the regionalization of flow duration curves

Silva, Raimunda da Silva e; Blanco, Cláudio José Cavalcante; Pessoa, Francisco Carlos Lira

doi:10.1080/23249676.2019.1611493

Cited by 13 publications

(11 citation statements)

References 15 publications

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“…Mathematical functions (Equations 17-22), used as models, were fitted to the observed FDC of the 208 streamflow gauge stations (Mimikou & Kaemaki 1985, Pessoa et al 2011, Costa et al 2012, Silva et al 2019) as follows:…”

Section: Fdc Fitmentioning

confidence: 99%

“…The literature contains numerous examples of regional models, defined through multiple regression, for estimating FDCs in which the parameters of the curves are related to the physical and climatic characteristics of a river basin (Mimikou & Kaemaki 1985, Viola et al 2011, Pessoa et al 2011, Shu & Ouarda 2012, Costa et al 2012, Mendicino & Senatore 2013, Waseem et al 2015, Swain & Patra 2017, Silva et al 2019. Mimikou & Kaemaki (1985) developed a regionalization study of flow duration curves in western and northwestern Greece.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the estimation of FDCs, some works in the Amazon are highlighted, for example, in the studies developed by Pessoa et al (2011) andCosta et al (2012), in which the authors estimated FDCs in the hydrographic regions of the Calha Norte and Xingu in the state of Pará through multiple regression models. Silva et al (2019) produced models of regionalization of FDCs, proposing the grouping of watersheds as a function of the drainage area without the use of cluster analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

“…In the context of the Amazon, there is a lack of work on the regionalization of flow continuity curves and the identification of homogeneous flow regions, with only studies by Pessoa et al (2011), Costa et al (2012 and Silva et al (2019) in the state of Pará, Amazônia, Brazil. Therefore, the premise of this research is to minimize the problem of the region (absence of hydrological data), providing regional models that will allow us to simulate the permanence curve and not just the maximum, medium or low flow.…”

Section: Introductionmentioning

confidence: 99%

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Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means

Pessoa

Blanco

Gomes³

2021

An. Acad. Bras. Ciênc.

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Section: Fdc Fitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means

Pessoa

Blanco

Gomes³

2021

An. Acad. Bras. Ciênc.

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“…The good performance of MLR models to predict hydrological variables also was verified in several hydrological studies (for example, Lelis et al, 2020, Silva et al, 2019, Lopes et al, 2017, and Boscarello et al, 2016. The main explanation for MLR models' success is the application of the method within homogeneous regions, where most watersheds characteristics are similar, and the fact that linear function generally provides a good approximation to regional models (Li et al, 2010).…”

Section: Multiple Linear Regression (Mlr) Models In Hydrological Regionsmentioning

confidence: 67%

Regionalization of hydrological variables for the Paraná state, Brazil

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Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

Zhou,

Zhang

2024

Hydrological Processes

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The flow duration curve (FDC) is the cumulative distribution function, which represents the relationship between the frequency and magnitude of streamflow, and the precipitation duration curves (PDC) follows the same principle. Nowadays, the correlation between the shape of PDC and FDCs, their respective physical control factors including human activities, and their fitting conditions in unmeasured catchments across China have not been fully understood. In this paper, daily precipitation and streamflow data with 30 years records from 224 hydrological stations in the middle and lower Yangtze River basin were chosen to fit PDC and FDCs through gamma distribution. Framework was proposed for modelling FDCs to analyse the relationship, similarity, regional patterns and response mechanism of fitting parameters between PDC and FDCs, dividing the streamflow time series into fast and base flow and stations into three categories in consideration of human activities to attribute the shapes of PDC and FDCs to catchment meteorological and geographical characteristics and physical processes under natural conditions. Results indicate that the parameters of PDC and certain FDCs (TFDC, FFDC, SFDC) share similar spatial patterns but vary for the different duration and interactions of the processes. The climate and catchment characteristics such as extreme properties of precipitation, base flow index (BFI), Pmax*αp and concentration ratio index (CIM) will influence the shape of PDC and FDCs. The relationship between BFI and SFDC/TFDC can be better reflected in “Regulated watersheds”, while CIM/Pmax*αp and PDC/FFDC in “watersheds in the mainstream” are more related. This paper provides a deeper understanding and more accurate way of the application of these parameters in describing and predicting hydrological processes and estimation of PDC and FDCs in unmeasured catchments, and can be applied to more future research about processes based on catchment rainfall‐runoff responses and physical controls.

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Alternative for the regionalization of flow duration curves

Cited by 13 publications

References 15 publications

Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means

Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means

Regionalization of hydrological variables for the Paraná state, Brazil

Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

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