Flow characteristics of Wisconsin streams: Flow-duration, Hhgh-flow, and low-flow tables for selected streams through water-year 1960

1964 ◽  
Author(s):  
K.B. Young



2020 ◽  
Author(s):  
Hasrul Hazman Hasan ◽  
Siti Fatin Mohd Razali ◽  
Nur Shazwani Muhammad ◽  
Zawawi Samba Mohamed ◽  
Firdaus Mohamad Hamzah

Abstract. Streamflow information is critical to the management and development of water resources strategies. The reliability of water supply from rivers depends on their low flow characteristics. Low flow frequency analysis was derived using the Weibull plotting position and four specific distributions. Maximum likelihood was used to parameterise, while Kolmogorov–Smirnov tests are used to evaluate their fit to the dataset. The best probability distribution is then selected based on individual probabilistic analysis and the flow duration curve for the study threshold level (Q90 percentiles) with the pooling procedure derived to quantify the drought characteristics. The mass curve is used to quantify the minimum storage draft-rate required to maintain the 50 % mean annual flow for a recurrence interval of 10 years. The results indicated the hydrological droughts have generally become more frequent and critical in the availability of rivers to sustain water demand during low flows.



2016 ◽  
Vol 23 (1) ◽  
Author(s):  
Jeremy P. Mondejar ◽  
Patrick Willems

Low flow extremes are natural phenomena that have amplitudes lower than the average low flow on a river basin brought about by severe droughts that hamper sustainable development in the basin (e.g. agricultural damage, water supply shortage). The study aimed to establish a probabilistic picture of extreme Low flow-Duration-Frequency (QDF) relationships in the Blue Nile basin. A 3-arc seconds (approximately 90m at the equator) digital elevation model (DEM) that covers the Blue Nile basin from CGIAR-CSI SRTM 90m database were downloaded and used in the delineations. The distribution parameters and aggregation levels were calibrated in a combined manner in deriving the QDF relationships accounting for their return period. Hence, the QDF relationship comprises the multi-duration and multi-frequency characterisation of observed extreme values. The amplitude of low flow discharge in Blue Nile basin is phenomenally varying with catchment area, hence, accurate and representative design of QDF curves should be created in order to prevent over and under estimation of design discharge values. Low-flow-duration-frequency models represent the watershed drought regime which can be used to predetermine low-flow characteristics of a catchment. The QDF models developed in this study can be a useful tool in terms of amount and duration of water abstraction during dry period in an area.



10.3133/25296 ◽  
1975 ◽  
Author(s):  
J.E. Cummans ◽  
Edmund George Nassar






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