Abstract:The objective of this study was to regionalize 7-day 10-year low flows, long-term annual mean, and 90% and 95% permanence flows from Piquiri (PR) river basin. The following regionalization methods were adopted: Traditional, Linear interpolation, Chaves, Modified linear interpolation, and Modified Chaves. The equations obtained by the Traditional method, adding main river length or drainage density as independent variables, significantly improved R 2 equations value. Streamflow forecasting by Linear Interpolati… Show more
“…Costa's (2020) [19] methodology shows two results within the limit, whereas PERH's (2015) [18] and Honório's (2020) [8] methodologies show six results each, within the limit. Results on RE are according to the ones found by Araújo et al (2018) [30] (between 0.2% and 83.8%) for the "Piquiri river" basin (Paraná, Brazil), with areas between 274.3 km 2 and 20,943 km 2 , and also in the range of values from −19.1% to 62.9% found by Pruski et al (2016) [31] for the "Corrente river" basin (34.253 km 2 ). However, there are significant differences in RE values for the three methodologies in the hydrographic basin of the "Retiro stream", where the errors ranged from −167.32% (RE-Costa) to −15,693.32% (RE-PERH), and in the hydrographic basin of the "Sucuapara stream", where the errors ranged from −485.87% (RE-Costa) to −1331.88% (RE-Honório).…”
Section: Comparative Analysis Between Estimated and Observed Flowssupporting
confidence: 64%
“…In this research, about 38% (eight basins) of the 21 hydrographic basins are considered small, with drainage areas ranging from 0.15 km 2 to 150.75 km 2 . The application of the traditional regionalization method in small drainage areas requires careful analysis due to its high heterogeneity, which makes it difficult to characterize hydrologically homogeneous regions [30]. Another issue is related to the differences in spatial and temporal scales of the rainflow transformation processes in small and large hydrographic basins.…”
Section: Comparative Analysis Between Estimated and Observed Flowsmentioning
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.
“…Costa's (2020) [19] methodology shows two results within the limit, whereas PERH's (2015) [18] and Honório's (2020) [8] methodologies show six results each, within the limit. Results on RE are according to the ones found by Araújo et al (2018) [30] (between 0.2% and 83.8%) for the "Piquiri river" basin (Paraná, Brazil), with areas between 274.3 km 2 and 20,943 km 2 , and also in the range of values from −19.1% to 62.9% found by Pruski et al (2016) [31] for the "Corrente river" basin (34.253 km 2 ). However, there are significant differences in RE values for the three methodologies in the hydrographic basin of the "Retiro stream", where the errors ranged from −167.32% (RE-Costa) to −15,693.32% (RE-PERH), and in the hydrographic basin of the "Sucuapara stream", where the errors ranged from −485.87% (RE-Costa) to −1331.88% (RE-Honório).…”
Section: Comparative Analysis Between Estimated and Observed Flowssupporting
confidence: 64%
“…In this research, about 38% (eight basins) of the 21 hydrographic basins are considered small, with drainage areas ranging from 0.15 km 2 to 150.75 km 2 . The application of the traditional regionalization method in small drainage areas requires careful analysis due to its high heterogeneity, which makes it difficult to characterize hydrologically homogeneous regions [30]. Another issue is related to the differences in spatial and temporal scales of the rainflow transformation processes in small and large hydrographic basins.…”
Section: Comparative Analysis Between Estimated and Observed Flowsmentioning
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.
“…As sub-bacias em azul (Figura 6) não apresentaram títulos de outorga emitidos, portanto não foram consideradas na análise de comprometimento hídrico. O método da interpolação é amplamente disseminado em estudos hidrológicos (Wolff et al, 2014;Araujo et al, 2018;Ridolfi et al, 2020;Ferreira et al, 2021;Acosta-Castellanos et al, 2023), através deste obteve-se a vazão Q95 total da SRH Guamá igual à 79.25 m³/s. O cálculo da disponibilidade hídrica considerou 70% desta Q95, resultando em 55.5 m³/s.…”
O estudo apesenta um panorama do nível de comprometimento e disponibilidade hídrica da Sub-Região Hidrográfica (SRH) Guamá, localizado na Região Hidrográfica da Costa Atlântica-Nordeste do Estado do Pará. Foi analisado as outorgas emitidas pela Secretaria de Estado de Meio Ambiente e Sustentabilidade do Pará (SEMAS) e considerando os dados de estações fluviométricas disponíveis no local obteve-se um balanço hídrico da região e o nível de comprometimento das respectivas sub-bacias que à compõem. Os resultados revelaram que, em uma perspectiva global, a SRH Guamá enquadra-se em uma condição de conforto hídrico, segundo os critérios da European Environment Agency e das Nações Unidas, uma vez que a vazão total outorgada para os diversos usos da água equivale a 1.57% da vazão de referência, considerando 70% da Q95%, conforme a Resolução nº 10/2010 do CERH. No entanto, quando se analisa particularizadamente, verifica-se que três sub-bacias da SRH Guamá demonstraram grau de comprometimento hídrico significativo, classificados como preocupante e crítico, indicando que a demanda pelo uso da água está atingindo níveis maiores do que a região suporta, logo, é necessário medidas de gestão adequadas para garantir o uso sustentável desse recurso. Portanto, este estudo fornece subsídios para a gestão de recursos hídricos em uma bacia hidrográfica no Estado do Pará, uma vez que o cenário de disponibilidade hídrica da SRH Guamá, reflete a realidade, em termos de dados e características econômicas e ambientais, das diversas bacias hidrográficas da região Norte do Brasil.
“…Recentemente, Araujo et al (2018) propuseram a regionalização das vazões de referência (Q7,10, Q90 e Q95) na bacia do rio Piquiri (PR). Foram adotados os métodos de regionalização: tradicional, interpolação linear, chaves, interpolação linear modificada e chaves modificada.…”
Section: Em Um Estudo Realizado Na Bacia Do Alto Do São Francisco (Mgunclassified
“…COULIBALY, 2013;BRUNNER et al, 2018). No estudo realizado por Araujo et al (2018), por exemplo, quando adicionado o comprimento do talvegue principal ou a densidade de drenagem nas equações geradas pelo método Tradicional, o desempenho do modelo apresentou uma melhora significativa, quanto ao coeficiente de determinação (R 2 ).…”
Section: Em Um Estudo Realizado Na Bacia Do Alto Do São Francisco (Mgunclassified
À minha mãe Simone, que com toda sua força e dedicação me mostrou que a educação é a chave da mudança. Ao meu padrasto Adriano, que com toda sua paciência, respeito e honestidade me ajudou a ser uma pessoa melhor. Aos meus irmãos João Pedro e Ana Clara, amores da minha vida, que entendem minha ausência e são o motivo pelo qual busco ser melhor a cada dia. Aos meus avós Irany, Gentil (in memorian) e Carolina (in memorian), que com humildade e muito amor me proporcionaram os maiores ensinamentos. As minhas tias, que posso chamar de mãe, Elizete, Maria Aparecida e Sandra, por todo amor e carinho e por sempre acreditarem no meu potencial. Aos meus primos André, Taynara, Tamires, Isabela e Juan, por estarem sempre dispostos a me escutar, tenho sorte de ter vocês ao meu lado.
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