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: 3,267 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,387
802
78
3,267
94
114
HTML: 2,387
PDF: 802
XML: 78
Total: 3,267
BibTeX: 94
EndNote: 114
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads
(calculated since 03 Jun 2022)
Total article views: 2,219 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,659
499
61
2,219
87
109
HTML: 1,659
PDF: 499
XML: 61
Total: 2,219
BibTeX: 87
EndNote: 109
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 1,048 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
728
303
17
1,048
7
5
HTML: 728
PDF: 303
XML: 17
Total: 1,048
BibTeX: 7
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: 3,267 (including HTML, PDF, and XML)
Thereof 3,191 with geography defined
and 76 with unknown origin.
Total article views: 2,219 (including HTML, PDF, and XML)
Thereof 2,169 with geography defined
and 50 with unknown origin.
Total article views: 1,048 (including HTML, PDF, and XML)
Thereof 1,022 with geography defined
and 26 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...