Frequency analysis of minimum flows

Granemann, Adelita Ramaiana Bennemann; Mine, Miriam Rita Moro; Kaviski, Eloy

doi:10.1590/2318-0331.0318170080

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Mean, median, and 95% confidence intervals (CI) (lower and upper limits) were calculated for Q obs and Q ref for the three methodologies, and RE according to Equations (3)- (6). Standard deviations and coefficients of variation were also calculated.…”

Section: Comparative Analysis Between Estimated and Observed Flowsmentioning

confidence: 99%

“…The assessment of water availability may be performed through minimum, mean, and maximum flows, combined with the variation in rainfall [5]. The minimum flow (ecological flow) in watercourses indicates the natural minimal water availability for satisfying the uses in a hydrographic basin and is a suitable variable for water management, especially for conflict management in water scarcity scenarios [6].…”

Section: Introductionmentioning

confidence: 99%

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Comparison between Regionalized Minimum Reference Flow and On-Site Measurements in Hydrographic Basins of Rural Communities in the State of Goiás, Brazil

Basso

Honório

Costa

et al. 2022

Water

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Reference flows are important variables for assessing water availability in Brazil, as well as in rural communities in the state of Goiás (Brazil). However, as there is a lack of flowrate data and measurement points, regionalization methods have been used for forecasting the minimum reference flow (Qref) allowed for maintaining water uses. The present research covered 92 hydrographic basins within 46 selected rural communities in the state of Goiás, and 21 basins were selected for carrying out on-site flow measurements, as well as for Qref estimation following three regionalization methodologies. Results show a large variation between the values measured and estimated by the three methodologies, but the statistical analysis found regression equations of one of the methods more suitable for application in rural hydrograph basins of Goiás.

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Section: Comparative Analysis Between Estimated and Observed Flowsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison between Regionalized Minimum Reference Flow and On-Site Measurements in Hydrographic Basins of Rural Communities in the State of Goiás, Brazil

Basso

Honório

Costa

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…However, the areas of interest do not always have enough information, for several reasons, thus, flow estimation methods are needed (Kim et al, 2016).According to Araújo & Rocha (2010),water resources assessment, in respect to water availability, can be performed through minimum, average and maximum flows, together with the variation of precipitation. Smakthin (2001) relates that minimum flows are responsible for indicating natural water availability in a watershed and are essential variables for water use management, for example, and may also influence the management of conflicts in water scarcity scenarios (Granemann et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Identification of Homogeneous Regions of Specific Minimum Flows in the State of Goiás, Brazil

Basso¹,

Santana²,

Honório³

et al. 2023

J. Ecol. Eng.

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Hydrological information is essential for adequate water resources management as well as for water supply, energy supply, water allocation, among other services. However, this information does not always exist in quantity and quality to be used in hydrological or water management studies, and alternative methods are required to estimate minimum flows. Estimation based on homogeneous regions enables to transfer observation data from a known location to a location without data, but in the same region. Since the fluviometric stations in the state of Goiás (Brazil) are not uniformly distributed, the present work aimed at delimiting homogeneous regions of minimum flows, using the cluster grouping method with the K-means algorithm.Thus, 71 fluviometric stations with at least 5 years of continuous data were selected, obtained from the HIDROWEB system. In addition to the observed data, other variables were considered, such as drainage area, perimeter, specific minimum flows Q7,10, Q90, Q95 and average slope. The use of all these variables together with the observed data made it possible to determine,with great accuracy, 5 homogeneous regions of minimum flows based on the cluster analysis, enabling to obtain the minimum flows of reference for each region.In the selected homogeneous regions, it was possible to observe that the regions with the highest values of average slope presented smaller minimum flows, and the same could be observed under inverse conditions, i.e., lower values of average slope had higher minimum flows.It is also noteworthy that river monitoring is deficient in the center-south and center-north parts of the state of Goiás, making water resources management difficult. This fact indicates, therefore, the need to expand the river monitoring system throughout the state, especially in its southern and northern regions.

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“…As vazões mínimas caracterizam a disponibilidade hídrica natural da bacia hidrográfica (Smakhtin, 2001), e são variáveis imprescindíveis para a concessão de uso da água e diluição de efluentes, fatores que influenciam o manejo de conflitos através do uso em situações de escassez (Granemann et al, 2018)…”

Section: Introductionunclassified

Regionalização de vazões mínimas da bacia hidrográfica do Rio Mearim no estado do Maranhão

Mello

Pessoa

Santana

2020

RSD

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Regionalization methods have been used to estimate flows in regions that present lack or even lack of hydrological data. Thus, the present study aimed to develop a model of regionalization of minimum flows of reference Q90 for the hydrographic basin of Rio Mearim, in the state of Maranhão. Data consisting of 28 streamflow gauge and 28 rainfall gauge were used. The variables drainage area, average annual precipitation and average monthly precipitation were used as physical-climatic characteristics of the basin under study. Regional models were developed using the Traditional Method. Validation parameters, such as the Pearson coefficient (r), the coefficient of determination (R2), the Nash-Sutcliffe coefficient (NASH), the root of the mean square error (RMSE), the mean absolute error (BIAS) and the index “c” performance indicators were used to verify the fit and performance of the models. The linear regional equation of minimum flow Q90, explained from the drainage area and average annual precipitation, was the model that showed the best performance in adjusting the observed and simulated values, being classified as good, since values of R2 and NASH greater than 0.60, as well as RMSE less than 2, BIAS equal to 0.01 and performance index (c) greater than 0.65.

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Frequency analysis of minimum flows

Cited by 6 publications

References 9 publications

Comparison between Regionalized Minimum Reference Flow and On-Site Measurements in Hydrographic Basins of Rural Communities in the State of Goiás, Brazil

Comparison between Regionalized Minimum Reference Flow and On-Site Measurements in Hydrographic Basins of Rural Communities in the State of Goiás, Brazil

Identification of Homogeneous Regions of Specific Minimum Flows in the State of Goiás, Brazil

Regionalização de vazões mínimas da bacia hidrográfica do Rio Mearim no estado do Maranhão

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