Model-driven system for operational forecasting of river flooding

Autor: M. R. Ponomarenko, A. E. Semenov, Vyacheslav Zelentsov, Boris Sokolov, Vladislav Sobolevsky, L. Yu. Pimanov, Andrey Alabyan, Semyon A. Potryasaev, Rafael Yusupov, Inna Krylenko
Rok vydání: 2019
Předmět:
Zdroj: Вестник Российской академии наук. 89:831-843
ISSN: 0869-5873
DOI: 10.31857/s0869-5873898831-843
Popis: This article presents the results of the development and testing of a system for operational forecasting of river flooding. This system is based on the use of a complex of hydrological and hydrodynamic models and in-situ and satellite data. It is implemented on the basis of service-oriented architecture. A distinctive feature of the system is its full automation of the entire modeling cycle, from the initial data loading to the results of interpretation, visualization, and notification of stakeholders. The theoretical background for ensuring the coordinated functioning of system components is provided by the qualimetry of the models and polymodel complexes that have been developed by the authors. The implementation of the system’s software was performed using open source and free tools. The results of testing indicate the possibility of the widespread introduction of such systems for authorities and emergency services.
Databáze: OpenAIRE