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Dam safety --- Dams
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Canal and River Levées
Earth dams. --- Levees. --- Embankments. --- Earth dams --- Embankments --- Levees --- Earthwork --- Fills (Earthwork) --- Hydraulic structures --- Slopes (Soil mechanics) --- Earthen dams --- Earthfill dams --- Embankment dams --- Fill dams --- Hydraulic fill dams --- Rockfill dams --- Dams --- Mechanical Engineering --- Engineering & Applied Sciences --- Hydraulic Engineering
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"At the Base of the Giant's Throat: The Past and Future of America's Great Dams dives into the history of dam-building in America, as natural waterscapes have been replaced with engineered environments and the bone-dry West became America's produce aisle"--
Dams --- History --- United States. --- History.
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Barrages. --- Diversion structures (Hydraulic engineering) --- Dams
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This book is about the politics of water resource development and management in. India, with special reference to the Narmada river waters dispute. The author. draws on a wealth of studies on Narmada as also his own research to analyse the. controversy from the perspective of a political scientist. The author analyses three aspects of the conflict over developing the waters. of the Narmada:. - The politics of the inter-state river water dispute over Narmada waters in. the context of Indian centre-state and inter-state relationships and the constitutional. and legal mechanisms for resolving dis
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Dams --- Infrastructure (Economics) --- Terrorism --- Security measures --- Prevention
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"Soft Computing and Machine Learning in Dam Engineering" is a comprehensive, edited Special Issue that explores the latest advances in the application of soft computing and machine learning techniques to dam engineering. This reprint covers a range of topics, including dam design, construction, monitoring, and maintenance, and provides readers with a deep understanding of the theoretical foundations and practical applications of these techniques.Featuring contributions from leading experts in the field, the reprint presents a collection of 11 papers that offer insights into state-of-the-art approaches in dam engineering. The chapters cover topics such as fuzzy logic, genetic algorithms, artificial neural networks, and support vector machines, and provide practical examples of how these techniques can be applied to solve real-world dam engineering problems.Whether you are a researcher, engineer, or student in the field of dam engineering, "Soft Computing and Machine Learning in Dam Engineering" provides a valuable resource for staying up-to-date with the latest techniques and approaches in the field.
Dams --- Artificial intelligence. --- Design and construction.
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Dams and Earthquakes
Seismological research --- Dams --- Barrages --- Seismology --- Research. --- Earthquakes --- Earthquake effects. --- Research
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