Issue |
E3S Web Conf.
Volume 163, 2020
IV Vinogradov Conference “Hydrology: from Learning to Worldview” in Memory of Outstanding Russian Hydrologist Yury Vinogradov
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Article Number | 02008 | |
Number of page(s) | 5 | |
Section | Hazardous Hydrological Phenomena: Predictability and Assessment | |
DOI | https://doi.org/10.1051/e3sconf/202016302008 | |
Published online | 17 April 2020 |
Use of classification algorithms for the ice jams forecasting problem
1
Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991, Moscow, Russia
2
Water Problems Institute of the Russian Academy of Science, Gubkina st., 3, 119333, Moscow, Russia
* Corresponding author: snkone132@mail.ru
In the research the prediction of occurrence of ice jam based on the K Nearest Neighbor method was considered by example of the city of Velikiy Ustyug, located at the confluence of the Sukhona and Yug Rivers. A forecast accuracy of 82% was achieved based on selected most significant hydrological and meteorological features.
© The Authors, published by EDP Sciences, 2020
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