Department of Landscape, Spatial and Infrastructure Sciences, Institute of Statistics, University of Natural Resources and Life Sciences, Vienna (BOKU), Peter-Jordan-Strasse 82/I, Vienna 1190, Austria
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Cumulative views and downloads
(calculated since 03 Jun 2022)
Total article views: 1,873 (including HTML, PDF, and XML)
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1,398
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1,873
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HTML: 1,398
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Total: 1,873
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EndNote: 89
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Total article views: 965 (including HTML, PDF, and XML)
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669
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965
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Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,838 (including HTML, PDF, and XML)
Thereof 2,771 with geography defined
and 67 with unknown origin.
Total article views: 1,873 (including HTML, PDF, and XML)
Thereof 1,827 with geography defined
and 46 with unknown origin.
Total article views: 965 (including HTML, PDF, and XML)
Thereof 944 with geography defined
and 21 with unknown origin.
Knowing the severity of an extreme event is of particular importance to hydrology and water policies. In this paper we propose a mixed distribution approach for low flows. It provides one consistent approach to quantify the severity of summer, winter, and annual low flows based on their respective annualities (or return periods). We show that the new method is much more accurate than existing methods and should therefore be used by engineers and water agencies.
Knowing the severity of an extreme event is of particular importance to hydrology and water...
