Regionalization of Tank Model Using Landscape Metrics of Catchments

Bahman Jabbarian Amiri (), Nicola Fohrer, Johannes Cullmann, George Hörmann, Felix Müller and Jan Adamowski
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Bahman Jabbarian Amiri: University of Tehran
Nicola Fohrer: Christian Albrecht Universität zu Kiel
Johannes Cullmann: IHP/HWRP-Sekretariat, Bundesanstalt für Gewässerkunde
George Hörmann: Christian Albrecht Universität zu Kiel
Felix Müller: Christian Albrecht Universität zu Kiel
Jan Adamowski: McGill University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 14, No 6, 5065-5085

Abstract: Abstract To address the challenges inherent in accessing spatiotemporal hydrological data, water resources professionals have developed various regionalization tools. The present study examines the possibility that changes in landscape metrics including mean shape index, mean perimeter-area ratio, mean patch size and patch density of land use/ land cover could result in variations in the optimized parameters of the conceptual rainfall-runoff Tank model. Data from 30 catchments that are geographically distributed in Germany was used to develop the procedure. Regression analysis-based modeling indicated that four out of twelve model parameters (r2 ≥ 0.40) can be explained by changes in catchment geometrics along with a set of landscape metrics of land use/land cover. They include: coefficient of infiltration flow (r2 = 0.48, p

Keywords: Regionalization; Landscape metrics; Tank model; Uncertainty analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11269-016-1469-5

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