Development of Intelligent Information Systems
for Operational River-Flood Forecasting

A. M. Alabyan^a, I. N. Krylenko^a, S. A. Potryasaev^b, B. V. Sokolov^b,
R. M. Yusupov^b,c,*, and V. A. Zelentsov^b

^aMoscow State University, Moscow, Russia

^bSt. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St. Petersburg, Russia

^cThe National Simulation Society Noncommercial Partnership, St. Petersburg, Russia

e-mail: andrei_alabyan@mail.ru; krylenko_i@mail.ru; semp@mail.ru;
sokol@iias.spb.su; yusupov@iias.spb.su

Received June 30, 2015

Abstract—The structural framework and practical implementation of operational river flood forecasting sys-
tems, based on integrated use of state-of-the-art information technologies and hydrological simulation methods,
are described. They exemplify the practical implementation of an interdisciplinary approach that uses broadly
the Earth’s remote sensing data, service architecture–based forecasting systems, and an intelligent interface to
select the type and adjust the parameters of hydrological models, providing the interpretation, user-friendly rep-
resentation, and accessibility of forecast results as web services. A practical trial of the system’s prototype
proved the possibility to obtain high-accuracy operational (from several hours to several days) forecasts for the
inundation areas and depths of river valley sections.

Keywords: floods, multimodel simulation, operational forecasting, intelligent interface, service-oriented archi-
tecture.

10.1134/S1019331616010056

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