Mathematical modeling of a river stream based on a shallow water approach

Flood control problems as well as problems connected with wastewater discharge into rivers are issues of current importance. Depth averaged shallow water equations are used to model flows where water depth is much less than the horizontal dimension of the computational area and the free surface greatly influences the flow

Numerical modelling of pollution transport in Tom River

This work constructs a mathematical model and a computational method to getмextensive data about the structure of a river stream essential for predicting the behaviorиof a river. The model proposed is based on depth-averaged Reynoldsaveraged Navier–Stokes equations. The solver is based on the finite volume method on a staggered structured grid and a high-order Monotonic Upwind Scheme for Conservation Laws for convective fluxes. The solution is obtained with a Semi-Implicit Method for Pressure Linked Equations iterative algorithm based on coupled correction of the depth and velocity fields at each time step. The principal innovation of the algorithm proposed is accounting for the variability of the water depth in the source term in the momentum equations. The results show that the approach proposed accurately predicts the flow field and concentration field and demonstrate the significant role of the flow turbulence in transport of pollution in the river stream

Mathematical modeling of a river stream based on a shallow water approach

Flood control problems as well as problems connected with wastewater discharge into rivers are issues of current importance. Depth averaged shallow water equations are used to model flows where water depth is much less than the horizontal dimension of the computational area and the free surface greatly influences the flow

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task