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Eco-hydraulic Modelling of Eutrophication for Reservoir Management

By Nahm-chung Jung

CRC Press – 2010 – 264 pages

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    978-0-415-57382-5
    May 11th 2010

Description

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.

Contents

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

Name: Eco-hydraulic Modelling of Eutrophication for Reservoir Management (Paperback)CRC Press 
Description: By Nahm-chung Jung. 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...
Categories: Water Engineering, Water Science, Environmental Studies, Biodiversity