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  Assessment of observed and simulated low flow indices for a highly managed river basin

Koch, H., Liersch, S., Gonçalves de Azevedo, J. R., Chaves Silva, A. L., Hattermann, F. F. (2018): Assessment of observed and simulated low flow indices for a highly managed river basin. - Hydrology Research, 49, 6, 1831-1846.
https://doi.org/10.2166/nh.2018.168

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 Creators:
Koch, Hagen1, Author              
Liersch, Stefan1, Author              
Gonçalves de Azevedo, J. R.2, Author
Chaves Silva, A. L.2, Author
Hattermann, Fred Fokko1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: hydrology, low flows, São Francisco river basin, SWIM, water resources management
 Abstract: Droughts and resulting low flows are a threat for society, economy, and ecosystems. Droughts are natural phenomena, but anthropogenic water use can increase the pressure on water resources. To analyze the effects of changing land-use or water management and climate variability/change on water resources, models integrating the most important hydrological processes are needed. These models must account for natural processes and water resources management at different spatial and temporal scales, e.g., reservoir operation, water withdrawals. Low flow indices are analyzed for observed and simulated flows for the highly managed São Francisco river basin in Brazil, showing that during wet, normal, and moderately dry years, the existing reservoir system is able to augment low flows while during strong droughts the system reaches its limits. This effect is also represented in the simulations using the eco-hydrological model SWIM, which was adapted to account for region-specific characteristics of land-use and water management. While good to very good performance was achieved for calibration and validation for most gauges, for some gauges at tributaries only insufficient quantitative criteria are reached. The reasons for the deviation between observations and simulation results are discussed. Overall, the model is able to represent natural discharges and observed, managed discharges.

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 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.2166/nh.2018.168
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 8170
Research topic keyword: Freshwater
Research topic keyword: Climate impacts
Research topic keyword: Ecosystems
Research topic keyword: Energy
Model / method: SWIM
Regional keyword: South America
Organisational keyword: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
 Degree: -

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Title: Hydrology Research
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 49 (6) Sequence Number: - Start / End Page: 1831 - 1846 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals209