Open Access
Modeling water level using downstream river water level observations and machine learning methods
Publication type: Journal Article
Publication date: 2020-04-17
SJR: 0.205
CiteScore: 1.1
Impact factor: —
ISSN: 22671242, 25550403
Pulmonary and Respiratory Medicine
Pediatrics, Perinatology, and Child Health
Abstract
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 of predicting water levels made it possible to achieve an accuracy of about 6 cm. At the same time, traditional statistical models (linear regression, polynomial regression) have 14-16 cm error.
Found
Nothing found, try to update filter.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Total citations:
0
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Kazakov E. et al. Modeling water level using downstream river water level observations and machine learning methods // E3S Web of Conferences. 2020. Vol. 163. p. 1009.
GOST all authors (up to 50)
Copy
Sarafanov M., Kazakov E., Borisova Y. Y. Modeling water level using downstream river water level observations and machine learning methods // E3S Web of Conferences. 2020. Vol. 163. p. 1009.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1051/e3sconf/202016301009
UR - https://doi.org/10.1051/e3sconf/202016301009
TI - Modeling water level using downstream river water level observations and machine learning methods
T2 - E3S Web of Conferences
AU - Sarafanov, Mikhail
AU - Kazakov, Eduard
AU - Borisova, Yulia Y.
PY - 2020
DA - 2020/04/17
PB - EDP Sciences
SP - 1009
VL - 163
SN - 2267-1242
SN - 2555-0403
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Kazakov,
author = {Mikhail Sarafanov and Eduard Kazakov and Yulia Y. Borisova},
title = {Modeling water level using downstream river water level observations and machine learning methods},
journal = {E3S Web of Conferences},
year = {2020},
volume = {163},
publisher = {EDP Sciences},
month = {apr},
url = {https://doi.org/10.1051/e3sconf/202016301009},
pages = {1009},
doi = {10.1051/e3sconf/202016301009}
}