Advanced River Flood Monitoring, Modelling and Forecasting
Journal of Computational Science 2015
Gaļina Merkurjeva, Jurijs Merkurjevs, Boris Sokolov, Semyon Potryasaev, Viacheslav Zelensov, Arnis Lektauers

The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models and systems are analysed. An advanced river flood monitoring, modelling and forecasting approach is introduced. It extends the traditional approach based on modelling river physical processes by integration of different types of models and technologies such as input data clustering and filtering, digital maps of a relief and river terrain, data crowdsourcing, heterogeneous data processing, hydrological models for time scale modelling water flows and geo-simulation, inundation visualisation and duly warning on flooding. A case study on river flow forecasting and simulation for river flood risk analysis and management is given.


Atslēgas vārdi
Flood monitoring; Flooded zone simulation; Heterogeneous data processing; Hydrological models; Integrated approach; River flow forecasting; Visualisation
DOI
10.1016/j.jocs.2014.10.004
Hipersaite
http://www.sciencedirect.com/science/article/pii/S1877750314001240

Merkurjeva, G., Merkurjevs, J., Sokolov, B., Potryasaev, S., Zelensov, V., Lektauers, A. Advanced River Flood Monitoring, Modelling and Forecasting. Journal of Computational Science, 2015, Vol.10, 77.-85.lpp. ISSN 1877-7503. Pieejams: doi:10.1016/j.jocs.2014.10.004

Publikācijas valoda
English (en)
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