CLIMATE-CHANGE
; L-MOMENTS
; REGIONALIZATION
; SOCIETY
; IRRIGATION
WOS学科分类:
Engineering, Environmental
; Environmental Sciences
; Water Resources
WOS研究方向:
Engineering
; Environmental Sciences & Ecology
; Water Resources
英文摘要:
This study attempts to find out the best-fit probability distribution function to low flows using the up-to-date data of intermittent and non-intermittent rivers in four hydrological basins from different regions in Turkey. Frequency analysis of D = 1-, 7-, 14-, 30-, 90- and 273-day low flows calculated from the daily flow time series of each stream gauge was performed. Weibull (W2), Gamma (G2), Generalized Extreme Value (GEV) and Log-Normal (LN2) are selected among the 2-parameter probability distribution functions together with the Weibull (W3), Gamma (G3) and Log-Normal (LN3) from the 3-parameter probability distribution function family. Selected probability distribution functions are checked for their suitability to fit each D-day low flow sequence. LN3 mostly conforms to low flows by being the best-fit among the selected probability distribution functions in three out of four hydrological basins while W3 fits low flows in one basin. With the use of the best-fit probability distribution function, the low flow-duration-frequency curves are determined, which have the ability to provide the end-users with any D-day low flow discharge of any given return period.
Eris, Ebru,Aksoy, Hafzullah,Onoz, Bihrat,et al. Frequency analysis of low flows in intermittent and non-intermittent rivers from hydrological basins in Turkey[J]. WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY,2019-01-01,19(1):30-39