Dunes are present in nearly all fluvial channels and are vital in understanding sediment transport, deposition, and flow conditions during floods of rivers and estuaries. This information is pertinent for helping developing management practices to reduce risks in river transportation and engineering. Although a few recent studies have investigated the micromorphology of a portion of the Yangtze...

the vital need for river management is understood and predict of bank erosion processes. almost models will not be able to evaluate bank erosion,accurately. bstem model is the most usable model in many of river engineering projects in the world. necessary data for this model are related to driving and resisting forces controlled by hydraulic and geotechnical processes. these data include geomet...

In the past 30 years efforts to protect river beds and banks have increased significantly. The selection design of proper structural solution means finding a in accordance with construction principles, geomorphology, avoiding channel aggradation, bed scour, bank erosion, resulting structure failure significant harm stream nearby property. On other hand, should be environmentally-friendly. Hydra...

Phreatic surface fluctuations within the tropical floodplain paddy field of the Yom River, Thailand S. Chuenchooklin, T. Ichikawa, S. Patamatamkul, V. Sriboonlue, and C. Kerdpitaksa Graduate School Khon Kaen University, Khon Kaen, 40002, Thailand School of Engineering, Kyushu Tokai University, Toroku, Kumamoto, Japan Faculty of Engineering, Khon Kaen University, Khon Kaen, 40002, Thailand Facul...

W. Ratcliff II,1,* Zahra Yamani,2 V. Anbusathaiah,3,† T. R. Gao,3 P. A. Kienzle,1 H. Cao,4 and I. Takeuchi3 1NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA 2Canadian Neutron Beam Centre, National Research Council, Chalk River Laboratories, Chalk River, Ontario, Canada K0J 1J0 3Department of Materials Science and Engineering, U...

1 Department of Civil Engineering, University of Bristol, Bristol, UK, 2 Arup, London, UK, 3 School of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK, 4 Willis Towers Watson, Tokyo, Japan, 5Mott MacDonald, Singapore City, Singapore, 6 Institute for Risk and Disaster Reduction, University College London, London, UK, 7 Department of Architecture, University ...

The use of artificial neural network (ANN) modeling for prediction and forecasting variables in water resources engineering are being increasing rapidly. Infrastructural applications of ANN in terms of selection of inputs, architecture of networks, training algorithms, and selection of training parameters in different types of neural networks used in water resources engineering have been report...