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[et al.] 205 $a1st ed. 210 $aLondon ;$aSterling, VA $cEarthscan$d2010 215 $a1 online resource (216 p.) 300 $aDescription based upon print version of record. 311 08$a1-84407-792-6 320 $aIncludes bibliographical references and index. 327 $aCover; Half Title; Title Page; Copyright Page; Table of Contents; List of Figures and Tables; Contributor Affiliations; List of Acronyms and Abbreviations; 1 Introduction - Making a Strong Case for AWM; 1.1 Challenges of river basin management; 1.2 Integrated Water Resources Management (IWRM); 1.3 Adaptive Water Management in terms of development and application within IWRM; 1.4 Tools for adaptive management; 1.5 AWM concept in terms of training and capacity building; 2 Working Towards AWM; 2.1 Key outcomes and benefits of AWM 327 $a2.2 Summary of outcomes from NeWater case river basins (outputs and benefits)2.3 Experiences and identification of lessons learned from piloting AWM; 3 Tools and Instruments for Adaptive Management; 3.1 Management of participatory processes; 3.2 Participatory Modelling; 3.3 Uncertainty and policy making; 3.4 Indicators and monitoring to support AWM; 3.5 An introduction to analysing dynamic vulnerability; 3.6 Integrated assessment tools and decision support systems; 3.7 Climate change impacts on water resources and adaptation options; 3.8 Management and Transition Framework 327 $a3.9 Internet portals and services for knowledge transfer4 Capacity Building and Knowledge Transfer; 4.1 Introduction; 4.2 Aims of the training courses; 4.3 Target audience for training; 4.4 Obstacles encountered; 4.5 The 'broker concept'; 4.6 Train-the-trainer workshops; 4.7 Train-the-practitioner workshops; 4.8 AWM in academic education; 4.9 Lessons learned in academic education; 4.10 Involvement of organizations outside the project consortium; 5 Case Study: Elbe; 5.1 Background; 5.2 Selected themes; 5.3 Research and tools applied in the Elbe case study; 5.4 Outlook and policy summary 327 $a6 Case Study: Guadiana6.1 Background; 6.2 Selected themes; 6.3 Groundwater modelling and management scenarios; 6.4 WEAP model; 6.5 The vulnerability analysis (CART analysis); 6.6 Bayesian Belief Networks; 6.7 Water Footprint; 6.8 The Future; 7 Case Study: Rhine; 7.1 Introduction; 7.2 The Lower Rhine; 7.3 Kromme Rijn; 7.4 Wupper; 7.5 Comparison between the Wupper and Kromme Rijn regimes; 7.6 Conclusions; 8 Tisza River Basin; 8.1 Background; 8.2 Major problems; 8.3 Lessons learnt and the future; 8.4 How can AWRM help and what tools are still needed?; 9 Case Study: Amudarya; 9.1 Background 327 $a9.2 Selected Themes addressed in the Amudarya Case Study9.3 Tools developed and applied in the Amudarya case study; 9.4 The future; 10 Case Study: Nile; 10.1 Background; 10.2 Selected themes in the NeWater project; 10.3 Tools applied in NeWater; 10.4 Future of the Nile Basin; 11 Case Study: Orange; 11.1 Background; 11.2 Addressing issues of concern; 11.3 The institutional context in the Orange basin; 11.4 Tools and approaches applied in the Orange-Senqu case study; 11.5 Theme 1: A focus on ecosystem goods and services; 11.6 Theme 2 Investigating alternative possible futures through scenarios 327 $a11.7 Conclusion 330 $aThe complexity of current water resource management poses many challenges. Water managers need to solve a range of interrelated water dilemmas, such as balancing water quantity and quality, flooding, drought, maintaining biodiversity and ecological functions and services, in a context where human beliefs, actions and values play a central role. Furthermore, the growing uncertainties of global climate change and the long term implications of management actions make the problems even more difficult. 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