Abstract
Predicting change of water quality in complex aquatic ecosystems is always challenged by accurate prediction of changes in hydrological, hydraulic and hydrodynamic behaviours at catchment scales. Therefore, developing a fully integrated catchment-wide modelling and monitoring framework is particularly important. In this paper, we introduce a comprehensive and integrated catchment-scale monitoring and modelling approach that consists of: 1) input datasets either from real-time sensors or sampling measurements or modelling; 2) a coupled catchment-scale modelling system including 1D-hydrological/hydraulic models, 1D-emission and transport models as well as 3D-hydrodynamic and water quality models; 3) data assimilation techniques; and 4) an operational management system (OMS). Results from various case studies demonstrate that this integrative system can be used not only for long-term predictions of water quality levels and scenario tests, but also for event predictions and real-time forecasting of water quality. This approach produces synergistic effects in modelling capability for facilitating research and management applications.
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