Flow-duration curve integration into digital filtering algorithms for simulating climate variability based on river baseflow

Mohammed, R and Scholz, M ORCID: https://orcid.org/0000-0001-8919-3838 2018, 'Flow-duration curve integration into digital filtering algorithms for simulating climate variability based on river baseflow' , Hydrological Sciences Journal, 63 (10) , pp. 1558-1573.

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Abstract

A baseflow separation methodology combining the outcomes of the flow–duration curve and the digital filtering algorithms to cope with the restrictions of the traditional procedures has been assessed. Using this methodology as well as the monitored and simulated hydro-climatologic data, the baseflow annual variations due to climate change and human-induced activities were determined. The outcomes show that the long-term baseflow index at the upstream sub-basin is nearly half of that at the downstream from October to April, whereas, they are close to each other for the remaining months. Some of the groundwater reacts to precipitation and an evident rise in the groundwater contribution has been detected for the hydrological years 1998–2001 and 2006–2008. The contrary has been recorded for 1987. The water released from the reservoir in the dry periods lead to distinctions in the detected baseflow index between the pre-damming and post-damming periods of the river.

Item Type: Article
Uncontrolled Keywords: Water Science and Technology
Schools: Schools > School of Environment and Life Sciences > Ecosystems and Environment Research Centre
Journal or Publication Title: Hydrological Sciences Journal
Publisher: Taylor & Francis
ISSN: 2150-3435
Related URLs:
SWORD Depositor: Publications Router
Depositing User: Publications Router
Date Deposited: 21 Sep 2018 07:43
Last Modified: 08 Apr 2019 11:30
URI: http://usir.salford.ac.uk/id/eprint/48450

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