Titlebook: River Ice Processes and Ice Flood Forecasting; A Guide for Practiti Karl-Erich Lindenschmidt Textbook 2024Latest edition The Editor(s) (if

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Introduction,of chaos—man’s new dialogue with nature, Bantam Books, 1984) and, through the stochastic modelling framework, frequency distributions of the ensemble of backwater levels from multiple model simulations are able to place the flooding potential in a probabilistic context.

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Numerical Modelling of River Ice Processes (Model Description),ions about ice-jam flood behaviour in a changed climate in the future. A river ice model constitutes the core of the stochastic modelling framework used for ice-jam flood forecasting described in Chap. ..

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https://doi.org/10.1007/978-3-031-49088-0flood risk management; hydraulic modelling; remote sensing; river ice; ice covers; ice modelling; Red Rive

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Ice-Cover Breakup and Ice Jamming,During the ice-cover period, initial ice-cover breakup precedes ice-jam flood events. Hence, it is important that breakup processes are well understood in order to be better prepared for ice-jam flood forecasting. Being able to predict ice-cover breakup provides an indication as to when ice-jam flood forecasting should commence.

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Numerical Modelling of River Ice Processes (Application),This chapter provides an example of the application of RIVICE by modelling ice jams along rivers and simulating scenarios to investigate specific measures to mitigate ice-jam flooding.

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Stochastic Modelling Framework,This chapter describes a new methodology for forecasting ice-jam flooding. Detailed steps pertaining to the development of the methodology are provided first.

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Probable Maximum Ice-Jam Flood,In this chapter, the stochastic modelling framework introduced in Chap. . is extended to calculate the backwater-level elevations of the probable maximum ice-jam floods . that can be attained from ice jams.