Regional frequency analysis of low flows by L-moments and multivariate analysis

Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.Investigating lowflow characteristics is of vital importance for optimal water resources management and sustainable use of water resources especially in arid and semi arid regions. In this study 26 hydromerty stations in the Sefidroud basin were selected and 7-day annual minimum series were computed as low flow index. Physiographic characteristics of the basin were also gathered in GIS software. Perason type 3 (PIII) and Generalized logistic distributions (GLOG) were identified as the best regional distributions for the west and east homogeneous regions respectively based on the goodness-of-fit test. Low flow regional regression (LFRR) was then developed for each homogeneous regions. According to the established models, drainage area, land use characteristics, average basin slope and basin circularity were identified as important factors in low flows features.