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Environmental And Hydrological Systems Modelling 2014 Edition at Meripustak

Environmental And Hydrological Systems Modelling 2014 Edition by A W Jayawardena , Taylor & Francis Ltd

Books from same Author: A W Jayawardena

Books from same Publisher: Taylor & Francis Ltd

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  • General Information  
    Author(s)A W Jayawardena
    PublisherTaylor & Francis Ltd
    ISBN9780415465328
    Pages536
    BindingPaperback
    LanguageEnglish
    Publish YearFebruary 2014

    Description

    Taylor & Francis Ltd Environmental And Hydrological Systems Modelling 2014 Edition by A W Jayawardena

    Mathematical modelling has become an indispensable tool for engineers, scientists, planners, decision makers and many other professionals to make predictions of future scenarios as well as real impending events. As the modelling approach and the model to be used are problem specific, no single model or approach can be used to solve all problems, and there are constraints in each situation. Modellers therefore need to have a choice when confronted with constraints such as lack of sufficient data, resources, expertise and time.Environmental and Hydrological Systems Modelling provides the tools needed by presenting different approaches to modelling the water environment over a range of spatial and temporal scales. Their applications are shown with a series of case studies, taken mainly from the Asia-Pacific Region. Coverage includes:Population dynamicsReaction kineticsWater quality systemsLongitudinal dispersionTime series analysis and forecastingArtificial neural networksFractals and chaosDynamical systemsSupport vector machinesFuzzy logic systemsGenetic algorithms and genetic programmingThis book will be of great value to advanced students, professionals, academics and researchers working in the water environment. Introduction. Historical Development of the Systems Theory Approach to Modelling. Population Dynamics. Reaction Kinetics. Water Quality Systems. Longitudinal Dispersion. Stochastic Models - Time Series Analysis and Modeling. Artificial Neural Networks. Radial Basis Function Networks. Fuzzy Logic Systems and Their Variations. Dynamical Systems Approach - Phase Space Re-Construction. Genetic Algorithms and Genetic Programming. Wavelet Decomposition. Process Based (Distributed) Models. Model Parameter Optimization. Closure.



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