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Regionalizing Flood Magnitudes using Landscape Structural Patterns of Catchments

Author

Listed:
  • Bahman Jabbarian Amiri

    (University of Tehran
    Chinese Academy of Sciences)

  • Gao Junfeng

    (University of Tehran
    Chinese Academy of Sciences)

  • Nicola Fohrer

    (Christian Albrecht Universitaet zu Kiel)

  • Felix Mueller

    (Christian Albrecht Universitaet zu Kiel)

  • Jan Adamowski

    (McGill University)

Abstract

Emerging as an important issue in the disciplines of landscape ecology and landscape hydrology which inspired it, defining the concept of landscape metrics in a hydrological context has become a challenge to both landscape planners and engineers. Accordingly, the present study addresses the relationships existing between flooding phenomena and landscape metrics (shape index, fractal dimension index, perimeter-area ratio, related circumscribing circle, and contiguity index) of land use/land cover, hydrological soil groups and geological permeability classes. A regionalization approach was adopted employing 39 select catchments (33—4800 km2 in area, 0.47—21 m3 s−1 in mean discharge), located within the southern basin of the Caspian Sea. These catchments were predominantly covered by forest (57.4%), while rangeland, farmland and urban areas accounted for 25.9%, 11.7%, and 1.6%, respectively. Class-level landscape structural metrics of land use/land cover, hydrological soil groups and geological permeability classes have then been served as inputs to stepwise multiple linear regression analysis in an attempt to explain the flood magnitudes. The regression models (0.69 ≤ r2 ≤ 0.84) suggested that the catchments’ flood magnitude could explicitly be predicted using average measure of the shape and related circumscribing circle indices for the land use/land cover classes and those of hydrologic soil groups and geological permeability classes of the catchments. This indicated that regularity (vs. irregularity) of the landscape, pedoscape, and lithoscape, as represented by the shape index as well as the circumscribing circle index (for elongation and convolution), explained 69–84% of the variation in the flood magnitudes in the catchment.

Suggested Citation

  • Bahman Jabbarian Amiri & Gao Junfeng & Nicola Fohrer & Felix Mueller & Jan Adamowski, 2018. "Regionalizing Flood Magnitudes using Landscape Structural Patterns of Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2385-2403, May.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:7:d:10.1007_s11269-018-1935-3
    DOI: 10.1007/s11269-018-1935-3
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    References listed on IDEAS

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    1. Iman Fatehi & Bahman Amiri & Afshin Alizadeh & Jan Adamowski, 2015. "Modeling the Relationship between Catchment Attributes and In-stream Water Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5055-5072, November.
    2. Bahman Jabbarian Amiri & Nicola Fohrer & Johannes Cullmann & George Hörmann & Felix Müller & Jan Adamowski, 2016. "Regionalization of Tank Model Using Landscape Metrics of Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5065-5085, November.
    3. Bahman Amiri & Kaneyuki Nakane, 2009. "Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 931-956, March.
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