Streamflow Regionalization in Piquiri River Basin

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 Interpolation and Chaves methods were as good as those provided by the Traditional Method, thus, these methods could be applied to Piquiri River basin, especially when drainage area is the only available spatial information.

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

“…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).…”

“…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.…”

Nível de comprometimento, disponibilidade hídrica e principais usos consuntivos na Sub-Região Hidrográfica Guamá, Nordeste do Pará

“…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.…”

Regionalização hidrológica para o estado de Goiás e Distrito Federal

“…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.…”

“…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 ).…”