Department of Landscape, Spatial and Infrastructure Sciences, Institute of Statistics, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Strasse 82/I, 1190 Vienna, Austria
Michael Melcher
Institute of Information Management, FH JOANNEUM – University of Applied Sciences, Graz, Austria
Department of Landscape, Spatial and Infrastructure Sciences, Institute of Statistics, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Strasse 82/I, 1190 Vienna, Austria
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Total article views: 2,850 (including HTML, PDF, and XML)
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2,193
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2,850
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HTML: 2,193
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BibTeX: 75
EndNote: 91
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852
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1,107
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Viewed (geographical distribution)
Total article views: 3,957 (including HTML, PDF, and XML)
Thereof 3,866 with geography defined
and 91 with unknown origin.
Total article views: 2,850 (including HTML, PDF, and XML)
Thereof 2,837 with geography defined
and 13 with unknown origin.
Total article views: 1,107 (including HTML, PDF, and XML)
Thereof 1,029 with geography defined
and 78 with unknown origin.
Our study uses a statistical boosting model for estimating low flows on a monthly basis, which can be applied to estimate low flows at sites without measurements. We use an extensive dataset of 260 stream gauges in Austria for model development. As we are specifically interested in low-flow events, our method gives specific weight to such events. We found that our method can considerably improve the predictions of low-flow events and yields accurate estimates of the seasonal low-flow variation.
Our study uses a statistical boosting model for estimating low flows on a monthly basis, which...
