Improved regionalization of streamflow by use of the streamflow equivalent of precipitation as an explanatory variable

Pruski, Fernando Falco; Nunes, Aline de Araújo; Pruski, Pedro Lopes; Rodríguez, Ricardo A.

doi:10.1016/j.jhydrol.2012.10.005

Cited by 31 publications

(19 citation statements)

References 51 publications

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“…However, for low flows and long-term average flows, an overestimation is problematic because it creates a false expectation of water availability, as showed in PRUSKI et al (2013). Moreover, if the regulatory agencies allow withdrawals based on an extrapolation of the regularization equation, it can cause environmental problems, such as the intermittence of the river channel in dry seasons.…”

Section: Resultsmentioning

confidence: 99%

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Extrapolation of regionalization equations for long-term average flow

et al. 2016

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Knowledge about long-term average flow is essential for planning and managing water resources because it represents the potential water availability. One technique used to determine streamflow is regionalization, but because most gauge stations normally are associated with large drainage areas, the extrapolation of regionalization equations does not accurately represent the water availability; therefore, this method is not recommended. The main objective of the present paper is to propose a new method of estimating water availability that minimizes the risks of extrapolating regionalization equations for long-term average flow. The method is based on the use of a threshold value of the runoff coefficient to obtain the long-term average flow at the positions of the basin where the runoff coefficient estimated by the regionalization equation exceeds the threshold value. It was found that values of the runoff coefficient estimated average flows greater than twice those of the threshold values. The use of this method allows a reliable estimation for long-term average flows in regions of extrapolation without compromising the security of the available water supply.KEY WORDS: water availability, planning and management of water resources, water safety.

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Section: Resultsmentioning

confidence: 99%

“…The climate variable used in regionalization is the average annual rainfall. This study used a single variable, instead of the drainage area and precipitation, defined by PRUSKI et al (2013) as 31,536…”

Section: Streamflow Regionalizationmentioning

confidence: 99%

Extrapolation of regionalization equations for long-term average flow

et al. 2016

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“…Similar to PRUSKI et al, 2011, one variable tested is the drainage area (A) which represents the physical characteristic of the basin. Aside from this, a single variable was tested that represented the physical and climatic characteristics of the basin (drainage area and precipitation), defined by PRUSKI et al (2013), as…”

Section: Streamflow Regionalizationmentioning

confidence: 99%

Low-flow estimates in regions of extrapolation of the regionalization equations: a new concept

Pruski¹,

Rodríguez²,

Nunes³

et al. 2015

Eng. Agríc.

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Knowledge of natural water availability, which is characterized by low flows, is essential for planning and management of water resources. One of the most widely used hydrological techniques to determine streamflow is regionalization, but the extrapolation of regionalization equations beyond the limits of sample data is not recommended. This paper proposes a new method for reducing overestimation errors associated with the extrapolation of regionalization equations for low flows. The method is based on the use of a threshold value for the maximum specific low flow discharge estimated at the gauging sites that are used in the regionalization. When a specific low flow, which has been estimated using the regionalization equation, exceeds the threshold value, the low flow can be obtained by multiplying the drainage area by the threshold value. This restriction imposes a physical limit to the low flow, which reduces the error of overestimating flows in regions of extrapolation. A case study was done in the Urucuia river basin, in Brazil, and the results showed the regionalization equation to perform positively in reducing the risk of extrapolation.KEYWORDS: water availability, planning and management of water resources, water safety ESTIMATIVA DE VAZÕES MÍNIMAS EM REGIÕES DE EXTRAPOLAÇÃO DAS EQUAÇÕES DE REGIONALIZAÇÃO: UM NOVO CONCEITORESUMO: O conhecimento da disponibilidade hídrica natural, caracterizada pelas vazões mínimas, é essencial para o planejamento e a gestão dos recursos hídricos. Uma das técnicas hidrológicas mais utilizadas para estimar a vazão é a regionalização, mas a extrapolação das equações de regionalização para além dos limites dos dados usados para estimar os parâmetros do modelo de regressão não é recomendada. Este trabalho propõe um novo método para minimizar o risco associado à extrapolação das equações de regionalização de vazões mínimas. O método baseia-se na utilização de um valor de limiar, que é a máxima vazão mínima específica estimada nas estações fluviométricas utilizadas no estudo de regionalização. Quando a vazão mínima específica estimada a partir da equação de regionalização excede o valor limiar, a vazão mínima é obtida multiplicando-se a área de drenagem pelo valor limiar. Esta restrição impõe um limite físico para as vazões mínimas, o que reduz o risco de superestimar as vazões nas regiões de extrapolação. Um estudo de caso foi realizado para a bacia Urucuia, no Brasil, e os resultados obtidos mostraram um bom desempenho da equação de regionalização, o que reduz o risco de extrapolação. PALAVRAS-CHAVE:disponibilidade hídrica, planejamento e gestão de recursos hídricos, segurança hídrica.

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“…Therefore, to ensure a sustainable future, these evaluations must be taken altogether. Nevertheless, in spite of this pre-requisite, most studies only cover the quantification and/or prevision of streamflow [1,2] or the characterization and/or modeling of water quality [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Use Load Duration Curves to Evaluate Water Quality: A Study in the Doce River Basin, Brazil

Serrano

Borges

Pruski

et al. 2020

Water

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Although water availability depends both on qualitative and quantitative aspects, most studies focus only on one of these. Therefore, the goal here is to relate water quality and quantity with the construction of Load Duration Curves (LDC) and to estimate E. coli load patterns in different flow conditions, seasons, and positions of two sub-basins of the Doce watershed (Brazil): Piracicaba and Piranga. A novel methodology is proposed in which the Burr XII distribution is adjusted to the LDC to compare all observed loads to their respective Total Maximum Daily Load (TMDL), allowing the estimation of the relative difference (RD) between these. Higher values of RD were observed for low flows for the Piracicaba basin, more urbanized, where point sources of pollution are the primary concern, reaching up to 99% of needed load reduction. In the Piranga basin, more agricultural, there was a broader RD variation, from 9% to 97% load reduction needed, which is an evidence of point sources of pollution combined with non-point sources. The new methodology can be used to estimate the load reduction of any pollutant and can be used by environmental agencies to identify effective practices to minimize and control pollution in different locations of the basins.

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Improved regionalization of streamflow by use of the streamflow equivalent of precipitation as an explanatory variable

Cited by 31 publications

References 51 publications

Extrapolation of regionalization equations for long-term average flow

Extrapolation of regionalization equations for long-term average flow

Low-flow estimates in regions of extrapolation of the regionalization equations: a new concept

A New Approach to Use Load Duration Curves to Evaluate Water Quality: A Study in the Doce River Basin, Brazil

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