Modeling water level using downstream river water level observations and machine learning methods
The article presents the results of the development of a model for calculating levels at one gauging station using the levels at another. To link the levels at two gauging stations, the data on levels, temperature and precipitation were used. The use of machine learning methods to solve the problem...
Main Authors: | Sarafanov Mikhail, Kazakov Eduard, Borisova Yulia |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/23/e3sconf_vc2020_01009.pdf |
Similar Items
-
Automated short-term forecast system based on open-source hydrological models for the Tikhvinka river (Leningrad region of Russia)
by: Kazakov Eduard, et al.
Published: (2020-01-01) -
Channel Formation in Rivers Downstream of Water Reservoirs
by: Kirvel Ivan, et al.
Published: (2018-06-01) -
Study of the relation between hydraulic jump and the flood water level in the river on the downstream of a spillway
by: Anbiya Taruna Dwiva, et al.
Published: (2019-01-01) -
The Influence of Landslide Dam-Occurrence on Downstream Water-level
by: Jhih-ChengWang, et al.
Published: (2013) -
Application of the Machine Learning LightGBM Model to the Prediction of the Water Levels of the Lower Columbia River
by: Min Gan, et al.
Published: (2021-05-01)