Titlebook: Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Pr; Uttam Roy,Mrinmoy Majumder Book 2016

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Uttam Roy,Mrinmoy Majumder ist auch bei uns in ?sterreich ein steigendes Umweltschutzbewu?tsein und eine daraus resultierende Aktivit?t im Hinblick der Wahrung der Umwelt zu erkennen. Diese Gegebenheiten kommen in der Gründung sachlicher und verantwortungsbewu?ter Institutionen und Gremien auf Bundes-, Landes- und auch kommu

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Climate Change and Its Impacts,rld. Increase in extreme events, change in start of season etc depicts that climate is in a transitional mode. As an impact of climate change the quantity, quality of water along with security of food and quality of life is being hampered. There are various models to predict future climate so that t

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Watershed Vulnerabilities,ified by shape and size, function, etc. There are many examples of indicators which detect vulnerability of watersheds but none of them are objective, cognitive and consider both time and space scale. The indicators also select the parameters based on their need that is why nearly all the indicators

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Methodology,nd artificial neural network variant group method of data handling to include cognitivity into the indicator. The parameter of the indicator was collected with respect to its citation frequency in the published literature. In the MCDM step, the input parameters were selected and rated based on diffe

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Conclusion,e adjudged both cognitively and objectively. Although the study showed reliability and encouraged the present authors for further applications, few limitations were also identified. The importance of the parameter will change with changing of MCDM method and also the temporal variation of the parame

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