Adaptive Water Management

This book explores a new framework of Adaptive Water Management (AWM) for evaluating existing approaches in urban water management. It highlights the need to adopt multidisciplinary strategies in water management while providing an in-depth understanding of institutional interactions amongst different water related sectors.

The key characteristics of AWM i.e. polycentric governance, organisational flexibility and public participation are investigated and described through a critical review of the relevant literature. The book presents an empirical case study undertaken in a selected developing-country city to investigate the potential gaps between the current water management approaches and possible implementation of AWM. Feasibility of AWM operations is examined in an environment surrounded by established water management structure with centralised governance and an institutional process based on technical flexibility.

The key elements of AWM performance are (re)structured and transformed into decision support systems. Multi criteria decision models are developed to facilitate quantification and visualization of the elements derived from the case study, which is involved with water companies and water consumers.

The book describes how the concept of AWM, along with structuring suitable decision support systems, can be developed and applied to developing-country cities. The book highlights the barriers for applying the AWM strategies that include established centralised decision making, bureaucratic interactions with external organisations, lack of organisational flexibility within the institutions, and lack of recognition of public role in water management. The findings outline that despite the lack of adaptability in the current water management in the case study, as an example of developing countries, there are positive attitudes among water professionals and the public towards adaptability through public-institutional participation.

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Farideh Delavari-Edalat has degrees including B.Sc. and M.Sc. and Ph.D., all related to the life sciences and environment management. She has over 15 years of experiences in industrial consultancy and academia through working in the areas related to the environment/water management. She received her Ph.D., in the area of adaptive environment management, focusing on aid to achieve a sustainable environment. She has published a number of papers in the areas of environment and water management in international peer reviewed journals and international conference proceedings. She has conducted various case studies and undertaken questionnaire designs, data collection including both quantitative and qualitative data using a variety of analytical methods and software packages for modelling and data analysis, and running behavioral experiments such as public water consumption behavior in developing countries and people attitude towards trees in urban areas in UK.

M
. Reza Abdi has a background in manufacturing engineering and industrial management, and holds a PhD in manufacturing engineering from University of Manchester Institute of Science and Technology (UMIST), and an M.Phil in manufacturing engineering and Industrial management from Liverpool University. Reza has over 15 years of teaching and industrial experience in various universities and manufacturing companies. His specialist areas are operations management, manufacturing system design, decision support systems, analytical hierarchical process (AHP), analytical network process (ANP), information systems, environment management, computer modelling, systems dynamics, simulation and fuzzy logic. He has published various articles and five book chapters in the areas of operations and information management, and been a chair person and a member of program committees of a number of international conferences in the area of operations and information management, and environment management. He has been a principal member of the Course Approval and Review Team (CART) at Bradford University.

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Adaptive Water Management Abdi, M. Reza, Delavari Edalat, Farideh

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