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

• Autorzy: Basso Raviel , Santana Kássia , Honório Michelle , Costa Isabella , Leitão Sanderson , Albuquerque Antonio , Scalize Paulo

Identyfikatory

DOI

10.12911/22998993/161078

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

reference flow; permanence curve; K-means method; flow regionalisation; water management

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2023
• Tom: Vol. 24, nr 4
• Strony: 357--367
• Opis fizyczny: Bibliogr. 46 poz., rys., tab.

Twórcy

autor

Basso Raviel

• School of Civil and Environmental Engineering, Federal University of Goiás, Av. Universitária, Quadra 86, Lote Área 1488 - Setor Leste Universitário, Goiânia 74605-220, Goiás, Brazil
• PPGEAS, School of Civil and Environmental Engineering, Federal University of Goiás, 74000-000 Goiânia, Goiás, Brazil

autor

Santana Kássia

• School of Civil and Environmental Engineering, Federal University of Goiás, Av. Universitária, Quadra 86, Lote Área 1488 - Setor Leste Universitário, Goiânia 74605-220, Goiás, Brazil

autor

Honório Michelle

• School of Civil and Environmental Engineering, Federal University of Goiás, Av. Universitária, Quadra 86, Lote Área 1488 - Setor Leste Universitário, Goiânia 74605-220, Goiás, Brazil
• CIAMB, Federal University of Goiás, Avenida Esperança s/n, Câmpus Samambaia - Prédio da Reitoria, Goiânia 74690-900, Goiás, Brazil

autor

Costa Isabella

• School of Civil and Environmental Engineering, Federal University of Goiás, Av. Universitária, Quadra 86, Lote Área 1488 - Setor Leste Universitário, Goiânia 74605-220, Goiás, Brazil
• CIAMB, Federal University of Goiás, Avenida Esperança s/n, Câmpus Samambaia - Prédio da Reitoria, Goiânia 74690-900, Goiás, Brazil

autor

Leitão Sanderson

• Department of Civil Engineering and Architecture, GeoBioTec, University of Beira Interior, Calcada Fonte do Lameiro 6, 6200-358 Covilhã, Portugal
• FibEnTech, GeoBioTec-UBI, University of Beira Interior, Calcada Fonte do Lameiro 6, 6200-358 Covilhã, Portugal

autor

Albuquerque Antonio

• Department of Civil Engineering and Architecture, GeoBioTec, University of Beira Interior, Calcada Fonte do Lameiro 6, 6200-358 Covilhã, Portugal
• FibEnTech, GeoBioTec-UBI, University of Beira Interior, Calcada Fonte do Lameiro 6, 6200-358 Covilhã, Portugal

• https://orcid.org/0000-0001-7099-0685

autor

Scalize Paulo

• School of Civil and Environmental Engineering, Federal University of Goiás, Av. Universitária, Quadra 86, Lote Área 1488 - Setor Leste Universitário, Goiânia 74605-220, Goiás, Brazil
• PPGEAS, School of Civil and Environmental Engineering, Federal University of Goiás, 74000-000 Goiânia, Goiás, Brazil
• CIAMB, Federal University of Goiás, Avenida Esperança s/n, Câmpus Samambaia - Prédio da Reitoria, Goiânia 74690-900, Goiás, Brazil
• FibEnTech, GeoBioTec-UBI, University of Beira Interior, Calcada Fonte do Lameiro 6, 6200-358 Covilhã, Portugal

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).