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

Mohammed, R; Scholz, M

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.

Citation

Mohammed, R., & Scholz, M. (2018). Flow-duration curve integration into digital filtering algorithms for simulating climate variability based on river baseflow. Hydrological Sciences Journal, 63(10), 1558-1573. https://doi.org/10.1080/02626667.2018.1519318

• Journal Article Type: Article
• Acceptance Date: Jun 21, 2018
• Online Publication Date: Sep 10, 2018
• Publication Date: Sep 10, 2018
• Deposit Date: Sep 21, 2018
• Publicly Available Date: Oct 9, 2018
• Journal: Hydrological Sciences Journal
• Print ISSN: 0262-6667
• Publisher: Taylor and Francis
• Volume: 63
• Issue: 10
• Pages: 1558-1573
• DOI: https://doi.org/10.1080/02626667.2018.1519318
• Keywords: Water Science and Technology
• Publisher URL: https://doi.org/10.1080/02626667.2018.1519318
• Related Public URLs: https://www.tandfonline.com/toc/thsj20/current