Predicting streamflow distributions and flow duration curves from landscape and climate

Doulatyari, B and Betterle, A and Basso, S and Biswal, Basudev and Schirmer, M and Botter, G (2015) Predicting streamflow distributions and flow duration curves from landscape and climate. Advances in Water Resources, 83. pp. 285-298. ISSN 0309-1708

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Characterizing the probability distribution of streamflows in catchments lacking in discharge measurements represents an attractive prospect with consequences for practical and scientific applications, in particular water resources management. In this paper, a physically-based analytic model of streamflow dynamics is combined with a set of water balance models and a geomorphological recession flow model in order to estimate streamflow probability distributions based on catchment-scale climatic and morphologic features. The models used are described and the novel parameterization approach is elaborated on. Starting from rainfall data, potential evapotranspiration and digital terrain maps, the method proved capable of capturing the statistics of observed streamflows reasonably well in 11 test catchments distributed throughout the United States, east of the rocky mountains. The method developed offers a unique approach for estimating probability distribution of streamflows where only climatic and geomorphologic features are known.

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IITH Creators:
IITH CreatorsORCiD
Biswal, Basudev
Item Type: Article
Additional Information: Additional support was provided by the Competence Center Environment and Sustainability (CCES) of the ETH domain in the framework of the RECORD and RECORD Catchment projects. Gianluca Botter acknowledges funding from project 60A09-4895/13 “Regimi idrologici e cambiamenti climatici”. The EU project “SmartWater” is also acknowledged. Special thanks to i4 Consulting S.r.l. for their data management services.
Uncontrolled Keywords: Streamflows; Stochastic model; Flow duration curve; Physically-based; Parameterization
Subjects: Civil Engineering > Soil Structure Interaction
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 11 Aug 2015 04:58
Last Modified: 29 Aug 2017 11:40
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