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Water acquisition, storage, allocation and distribution are intensely contested in our society, whether, for instance, such issues pertain to a conflict between upstream and downstream farmers located on a small stream or to a large dam located on the border of two nations. Water conflicts are mostly studied as disputes around access to water resources or the formulation of water laws and governance rules. However, explicitly or not, water conflicts nearly always also involve disputes among different philosophical views. The contributions to this edited volume have looked at the politics of contested knowledge as manifested in the conceptualisation, design, development, implementation and governance of large dams and mega-hydraulic infrastructure projects in various parts of the world. The special issue has explored the following core questions: Which philosophies and claims on mega-hydraulic projects are encountered, and how are they shaped, validated, negotiated and contested in concrete contexts? Whose knowledge counts and whose knowledge is downplayed in water development conflict situations, and how have different epistemic communities and cultural-political identities shaped practices of design, planning and construction of dams and mega-hydraulic projects? The contributions have also scrutinised how these epistemic communities interactively shape norms, rules, beliefs and values about water problems and solutions, including notions of justice, citizenship and progress that are subsequently to become embedded in material artefacts.

hydroelectric development --- hydropower --- dam --- indigenous peoples --- first nations --- Canada --- Site C --- British Columbia --- environmental impacts --- socio-economic impacts --- hydropower --- Mekong River Basin --- political ecology --- STS --- public knowledge controversies --- large dams --- dam safety --- hazard risk --- environmental governance --- uncertainty --- knowledge politics --- marginalization --- political ecology --- Himalayas --- India --- hydropower development --- politicized collective identity --- territory --- collective action --- agonistic unity --- vernacular statecraft --- Dzumsa --- North Sikkim --- hydrosocial territory --- knowledge encounters --- hydraulic utopia --- modernity --- commensuration --- anti-dam movement --- Málaga --- Spain --- hiding hand --- A.O. Hirschman --- irrigation --- hydraulic projects --- San Lorenzo irrigation project --- Chixoy irrigation project --- Peru --- Guatemala --- megadams --- social construction of technology --- politics of the governed --- anti-dam resistance movements --- technological design --- contested knowledge --- Ecuador --- expectations --- hydroelectric megaprojects --- socio-technical imaginaries --- Ecuador --- energy policy --- large dams --- socioenvironmental impacts --- compensation measures --- knowledge systems --- commensuration --- negotiation --- territorial control --- Bolivia --- Jacques Lacan --- psychoanalysis --- fantasy --- mega-dam --- Inga --- DR Congo --- hydropolitics --- mega-hydraulic projects --- modernist traditions --- knowledge arenas --- manufactured ignorance --- depoliticization --- UnGovernance --- dehumanizing rationality --- multi-actor multi-scalar alliances --- co-creation --- power --- n/a

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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps