Model-driven system for operational forecasting of river flooding

V. Zelentsov, Вячеслав Алексеевич Зеленцов, A. Alabyan, А.М. Алабян, I. Krylenko, И.Н. Крыленко, L. Y. Pimanov, И Ю Пиманов, M. Ponomarenko, М Р Пономаренко, S. Potryasaev, Семен Алексеевич Потрясаев, A. Semenov, Александр Васильевич Семёнов, V. Sobolevsky, В А Соболевский, B. Sokolov, Борис Владимирович Соколов, R. Yusupov, Рафаэль Мидхатович Юсупов
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引用次数: 1

Abstract

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.
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河流洪水业务预报模型驱动系统
本文介绍了河流洪水业务预报系统的开发和测试结果。该系统的基础是综合使用水文和水动力模型以及现场和卫星数据。它是在面向服务的体系结构基础上实现的。该系统的一个显著特征是其整个建模周期的完全自动化,从初始数据加载到解释、可视化和通知涉众的结果。作者所开发的模型和多模型复合体的质量测量为确保系统组件的协调功能提供了理论背景。系统软件的实现是使用开源和免费工具完成的。测试结果表明,当局和紧急服务部门有可能广泛采用这种系统。
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