awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

there is different methods for simulating river flow. some of thesemethods such as the process based hydrological models need multiple input data and high expertise about the hydrologic process. but some of the methods such as the regression based and artificial inteligens modelsare applicable even in data scarce conditions. this capability can improve efficiency of the hydrologic modeling in u...

Flooding is a condition where water not accommodated or the flow of obstructed in sewer, so that it overflows to inundate surrounding area. The area around ditch on Purnama Street (the estuary Kapuas River) affected by tides and intensity duration rainfall. This study aims simulate flood model occurred Data analysis was carried out using HEC-RAS software as tool for modeling drainage flow. rese...

Large-Scale Particle Image Velocimetry (LSPIV) is an extension of a quantitative imaging technique to measure water surface velocities using simple and inexpensive equipment. This paper describes the implementation of imaged-based LSPIV in eight different environmental flow and hydraulic engineering applications for the investigation of complex configurations with and without sediment transport...

An environmental water releases to the Snowy River was made in October 2011 (12,000 ML/day) as part of the Snowy River Increased Flows Program. The effects on the inlet entrance morphology and tidal response were measured on four field trips for each release to cover the flow peak and recovery. Water level recorders were deployed in the principal channels over the period of the releases and for...