Eco-hydraulic Modelling of Eutrophication for Reservoir Management
Auteur : Jung Nahm-chung
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. Reservoir Ecosystems. Physical Processes of Reservoirs. Physically Based Numerical Modelling. Data-Driven Modelling. Case Study: Data Acquisition and Assessment. Case Study: Construction of Models. Conclusions and Recommendations. Appendices. References.
Date de parution : 11-2017
21x28 cm
Date de parution : 05-2010
Ouvrage de 264 p.
21x29.7 cm
Thèmes d’Eco-hydraulic Modelling of Eutrophication for Reservoir... :
Mots-clés :
Data Set; water; Lacustrine Zone; quality; Reservoir Water Quality; turbidity; Eco-hydraulic Modelling; current; Reservoir Ecosystem; internal; Reservoir Management; wave; Strong Thermal Stratification; algal; Algal Growth; bloom; M5 MTs; artificial; ENO Scheme; neural; FDM; ODEs; PLS; RBF Network; AGP; Biotic Structure; Model Driven Decision Support System; Eddy Viscosity; PLSR Algorithm; SRP; M5 Algorithm; Plunge Point; Vertical Velocity Variations; Spillway Discharge; Bio-available Forms