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: 3,248 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,380
791
77
3,248
90
113
HTML: 2,380
PDF: 791
XML: 77
Total: 3,248
BibTeX: 90
EndNote: 113
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads
(calculated since 03 Jun 2022)
Total article views: 2,205 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,654
491
60
2,205
83
108
HTML: 1,654
PDF: 491
XML: 60
Total: 2,205
BibTeX: 83
EndNote: 108
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 1,043 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
726
300
17
1,043
7
5
HTML: 726
PDF: 300
XML: 17
Total: 1,043
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: 3,248 (including HTML, PDF, and XML)
Thereof 3,168 with geography defined
and 80 with unknown origin.
Total article views: 2,205 (including HTML, PDF, and XML)
Thereof 2,152 with geography defined
and 53 with unknown origin.
Total article views: 1,043 (including HTML, PDF, and XML)
Thereof 1,016 with geography defined
and 27 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...