River flow forecasting is required to provide basic information on a wide range of problems related to the design and operation of river systems. The availability of extended records of rainfall and other climatic data, which could be used to obtain stream flow data, initiated the practice of rainfall-runoff modelling. While conceptual or physically-based models are of importance in the underst...

This paper explores the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN) models used for river flow forecasting. Spatially distributed precipitation is commonly required when modelling large basins, and it is usually incorporated in distributed physically-based hydrological modelling approaches. ...

flow river forecasting plays an important role in designing, management, and utilization of water resources. the main object of the research is to study the possibility of forecasting and monitoring the northern karon rivers (armand and bazfat) discharge by using modern simulation methods. in this research, armand and bazoft discharge variations was investigated. in this regard, monthly data of...

The Barato River joins the Ishikari River near the river mouth. That river basin is sometimes in danger of flood because it is low, flat and tidal area around the tributaries influenced by the backwater of the Ishikari River. Therefore the gate is provided at the confluence of Ishikari River to avoid counter flow. Flood forecasting is necessary to determine the gate operation and disaster preve...

Artificial Neural Network (ANN) model along with Back Propagation Algorithm (BPA) has been applied in many fields, especially in hydrology and water resources management to simulate or forecast rainfall runoff process, discharge and water level time series, and other hydrological variables. Several researches have recently been focusing to compare the applicability of ANN model with other theor...

Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...

in the regulated nakdong river, algal proliferations are annually observed in some seasons, with cyanobacteria (microcystis aeruginosa) appearing in summer and diatom blooms (stephanodiscus hantzschii) in winter. this study aims to develop two ecological models forecasting future chlorophyll a at two time-steps (one-week and one-year forecasts), using recurrent neural networks tuned by genetic...

A model for real-time flood forecasting in river systems with large drainage areas has been developed. Flow variations between upstream and downstream stations are interlinked and are typically governed by reach properties. Unique paired variations establish useful flow correspondence resulting in inflow and outflow forecasting models for a reach. The proposed model can generate forecasts with ...