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
Viewed
Total article views: 2,859 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,079
717
63
2,859
69
96
HTML: 2,079
PDF: 717
XML: 63
Total: 2,859
BibTeX: 69
EndNote: 96
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads
(calculated since 03 Jun 2022)
Total article views: 1,892 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,409
436
47
1,892
64
91
HTML: 1,409
PDF: 436
XML: 47
Total: 1,892
BibTeX: 64
EndNote: 91
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 967 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
670
281
16
967
5
5
HTML: 670
PDF: 281
XML: 16
Total: 967
BibTeX: 5
EndNote: 5
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads
(calculated since 03 Jun 2022)
Viewed (geographical distribution)
Total article views: 2,859 (including HTML, PDF, and XML)
Thereof 2,791 with geography defined
and 68 with unknown origin.
Total article views: 1,892 (including HTML, PDF, and XML)
Thereof 1,845 with geography defined
and 47 with unknown origin.
Total article views: 967 (including HTML, PDF, and XML)
Thereof 946 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...
