Abstract ANN was used to create a storage-based concurrent flow forecasting model. River parameters in an unsteady must be modeled using model formulation based on learning storage change variable and instantaneous rate change. Multiple input-multiple output (MIMO) multiple input-single (MISO models three variants were anticipate rates the Tar Basin United States. Gamma memory neural networks, ...

This paper is devoted to a mathematical analysis of some general models of mass transport and other coupled physical processes developed in simultaneous flows of surface, soil and ground waters. Such models are widely used for forecasting (numerical simu1 lation) of a hydrological cycle for concrete territories. The mathematical models that proved a more realistic approach are obtained by combi...

Abstract. This paper is devoted to a mathematical analysis of some general models of mass transport and other coupled physical processes developed in simultaneous flows of surface, soil and ground beginabstract waters. Such models are widely used for forecasting (numerical simulation) of a hydrological cycle for concrete territories. The mathematical models that proved a more realistic approach...

commonly used environmental flow evaluation techniques range in complexity. some requires stream flow records alone, and some accounts for the habitat requirements of individual species life-stages and physical characteristics of the stream. hydrological based methods for environmental flow assessment are the first step in planning for environmental allocation in developing countries. for deter...

This study assesses the seasonal forecast skill of river flow persistence in 46 catchments representing a range hydrogeological conditions across Ireland. Skill is evaluated against climatology benchmark and by examining correlations between predicted observed anomalies. Forecasts perform best when initialized drier summer months, 87% which show greater relative to at 1-month horizon. Such decl...

Information is provided about the approach and experience in flood management in the Damodar river basin of India. This is achieved through a scheme for the integrated operation of a number of reservoirs on that river and on its tributaries for the purpose of irrigation, hydropower generation and flood protection. Of particular interest is the recent change in policy towards a multi-disciplinar...

Drought affects natural environment of an area when it persists for a longer period. So, drought forecasting plays an important role in the planning and management of natural resources and water resource systems of a river basin. During last decade neural networks have shown great ability in modeling and forecasting nonlinear and non-stationary time series. This paper compares linear stochastic...