Assessment of models predicting anthropogenic interventions and climate variability on surface runoff of the Lower Zab River

R. Mohammed, M. Scholz, M. A. Nanekely, Y. Mokhtari

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Multi-regression, hydrologic sensitivity and hydrologic model simulations were applied to quantify the climate change and anthropogenic intervention impacts on the Lower Zab River basin (LZRB). The Pettitt, precipitation-runoff double cumulative curve (PR-DCC) and Mann–Kendall methods were used for the change points and significant trend analyses in the annual streamflow. The long-term runoff series from 1979 to 2013 was first divided into two main periods: a baseline (1979–1997) and an anthropogenic intervention period (1998–2013). The findings show that the mean annual streamflow changes were consistent using the three methods. In addition, climate variability was the main driver, which led to streamflow reduction with contributions of 66–97% during 2003–2013, whereas anthropogenic interventions caused reductions of 4–34%. Moreover, to enhance the multi-model combination concept and explore the simple average method (SAM), Hydrologiska Byrans Vattenbalansavdelning (HBV), Génie Rural a Daily 4 parameters (GR4J) and Medbasin models have been successfully applied.

Original languageEnglish
Pages (from-to)223-240
Number of pages18
JournalStochastic Environmental Research and Risk Assessment
Volume32
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes

Keywords

  • Climate change
  • Human-induced impacts
  • Hydrologic sensitivity analysis
  • Multi-model combination technique
  • Multi-regression
  • Runoff simulation

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • General Environmental Science

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