1st Edition

Eco-hydraulic Modelling of Eutrophication for Reservoir Management

By Nahm-chung Jung Copyright 2010
    264 Pages 50 Color & 50 B/W Illustrations
    by CRC Press

    264 Pages
    by CRC Press

    This study presents an systematic approach to water quality assessment, hybrid modelling and decision support for eutrophication management in deep reservoirs. It is found that during the summer monsoon the catchment runoff into the Yongdam reservoir induces a transfer of pollutants from a middle stratified layer to the surface layer. Although the transport  mechanism limits nutrient accumulation on the bottom of the reservoir, it also offers an opportunity for on-going algae production in the surface water. Physically based modelling is used to understand the process of micro-scale turbulent mixing and its impact on the nutrient uptake by algae. Further, a data-driven model using clustering and partial least squares regression which uses results from a physically based model of the reservoir successfully predicts Chlorophyll-a concentrations.

    INTRODUCTION
    Man-Made Reservoir
    Characteristics of Reservoir
    Management Issues
    Framework of Reservoir Management
    Challenges
    Study Site
    Study Aim, Objective and Hypothesis
    Layout of the Thesis

    RESERVOIR ECOSYSTEMS
    Physical Structure
    Abiotic and Biotic Structure
    Eutrophication

    PHYSICAL PROCESSES OF RESERVOIRS
    Mixing Processes in a Reservoir
    Scales of Motions
    Navier-Stokes Equation
    Reynolds Time-Averaged Mean Flow and Transport Equations
    Turbulent Viscosity

    PHYSICALLY BASED NUMERICAL MODELLING
    Equations for Physical Process
    Solution of Equations
    Methods of Time Variable Solutions
    Lake/Reservoir Modelling
    Instantiating Models

    DATA-DRIVEN MODELLING
    Introduction
    Machine Learning Methods
    Application of DDM to Eco-Environment

    CASE STUDY: DATA ACQUISITION AND ASSESSMENT
    Research Site
    Material and Methods
    Water Quality Assessment
    Algal Growth Potential Test
    Conclusion

    CASE STUDY: CONSTRUCTION OF MODELS
    Outline of Case Study
    Eco-Hydrodynamic Modelling
    Data-Driven Modelling
    Hybrid Model
    Decision Support

    CONCLUSIONS AND RECOMMENDATIONS
    Conclusions
    Recommendations for Future Research

    Appendices
    References

    Biography

    Nahm-chung Jung