A Model-Oriented System for Operational Forecasting of River Floods
- Autores: Zelentsov V.1, Alabyan A.1,2,3, Krylenko I.1,2,3, Pimanov I.1, Ponomarenko M.1, Potryasaev S.1, Semenov A.1, Sobolevskii V.1, Sokolov B.1, Yusupov R.1
-
Afiliações:
- St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
- Lomonosov Moscow State University
- Water Problems Institute, Russian Academy of Sciences
- Edição: Volume 89, Nº 4 (2019)
- Páginas: 405-417
- Seção: Environmental Problems
- URL: https://journals.rcsi.science/1019-3316/article/view/179553
- DOI: https://doi.org/10.1134/S1019331619040130
- ID: 179553
Citar
Resumo
This article gives the results of developing and testing a system for operational river flood forecasting, which is based on a system of hydrological and hydrodynamic models, as well as ground-observation and satellite data. This system is implemented on the basis of service-oriented architecture. A specific feature of the system is fully automated implementation of the entire modeling cycle—from loading input data to interpreting and visualizing the results and alerting the interested parties. The theoretical basis for coherent functioning of all system components is the qualimetry of models and polymodel complexes developed by the authors. The practical implementation is based on open codes and freeware. The results of testing demonstrate the potential for a wide introduction of such systems in the activities of territorial authorities and emergency services.
Sobre autores
V. Zelentsov
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: v.a.zelentsov@gmail.com
Rússia, St. Petersburg, 119178
A. Alabyan
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences; Lomonosov Moscow State University; Water Problems Institute, Russian Academy of Sciences
Autor responsável pela correspondência
Email: andrei_alabyan@mail.ru
Rússia, St. Petersburg, 119178; Moscow, 119991; Moscow, 119333
I. Krylenko
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences; Lomonosov Moscow State University; Water Problems Institute, Russian Academy of Sciences
Autor responsável pela correspondência
Email: krylenko_i@mail.ru
Rússia, St. Petersburg, 119178; Moscow, 119991; Moscow, 119333
I. Pimanov
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: pimen@list.ru
Rússia, St. Petersburg, 119178
M. Ponomarenko
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: pnmry@yandex.ru
Rússia, St. Petersburg, 119178
S. Potryasaev
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: spotryasaev@gmail.com
Rússia, St. Petersburg, 119178
A. Semenov
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: sasfeat@mail.ru
Rússia, St. Petersburg, 119178
V. Sobolevskii
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: arguzd@yandex.ru
Rússia, St. Petersburg, 119178
B. Sokolov
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: sokol@iias.spb.su
Rússia, St. Petersburg, 119178
R. Yusupov
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Autor responsável pela correspondência
Email: yusupov@iias.spb.su
Rússia, St. Petersburg, 119178