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Water Quality Modelling
A.
Summary of activities
Besides the development of conventional 3-dimensional current models and
dispersion & diffusion models based on the eddy viscosity concept to predict
the transport of pollutants by currents, the Group is conducting research on
transport processes characterized by small pollutant clouds with a scale smaller
than the largest scale of the water motion.
The determination of the characteristics of these processes in Hong Kong
waters is important for the assessment of the far field environmental impact
before the implementation of the Strategic Disposal Scheme.
Since there are many land reclamation and dredging projects in Hong Kong,
the Group has developed a model to predict the transport of particle clouds in
coastal waters. Laboratory experiments have been conducted to verify the
numerical model. The Group has
studied the eutrophication problem in Hong Kong.
In addition, an expert system for the selection and manipulation of flow
and water quality models is now under development. Since the Pearl River delta region is an area with great
potential for further economic development, the Group is now carrying out a
systematic investigation of the hydraulics and water quality of the Pearl River
estuary, including the use of satellite remote sensing technique and artificial
neural networks. The accumulation
of contaminants in sediments of the Pearl River estuary is also actively
studied. B. Representative projects
The
objective of this project is to develop a two-layer, tidally averaged model
which can quantitatively predict the trophic status of the Tolo Harbour both in
the summer and winter conditions. The
differences in surface and bottom water temperature distributions during the
summer season have resulted in temperature stratification in the vertical water
column in Tolo Harbour.
The objective is to develop design aids and educational tools for the
numerical simulation of flow and water quality in coastal waters, using recent
technologies of computer aided design and expert system.
The expert system under development is intended for use by hydraulic and
environmental engineers who have only basic knowledge of flow and water quality
modelling.
The objective is to develop a three-dimensional model using the large
eddy simulation technique for inhomogeneous, anisotropic turbulent flow and
dispersion in coastal waters.
The objective is to obtain a fundamental understanding of the phenomenon
of dispersion of particle cloud in the presence of crossflow and hence to
develop a well verified numerical model for simulating the near field mixing of
unsorted particle cloud in both laboratory and field situations.
The objective is to develop an efficient and accurate method for
three-dimensional hydrodynamic and sediment transport computations.
The numerical model is parallelized using the domain decomposition, the
master-slave paradigm and the grid renumbering scheme to achieve an efficient
parallel algorithm.
The objective is to develop a three-dimensional finite element model for
the Pearl River estuary to study the transport and the fate of marine sediments
under the combined action of wave and current.
This is a joint project with the Department of Land Surveying and
Geo-informatics of the University. The
objective is to investigate the seasonal changes of marine water quality through
the analysis of satellite images. The
assessment and prediction capabilities can be greatly enhanced if remote sensing
and computer modelling are used together.
This is a joint project with the South China Sea Institute of Oceanology, Chinese Academy of Sciences. The objective is to study the accumulation of heavy metals and their adsorption/desorption rates by analysing core samples collected at various locations in the Pearl River estuary. A water-sediment-metal interaction model will be developed for water quality monitoring and assessment in the Pearl River Estuary.
This project will be carried out in collaboration with the Environmental
Water Management Research Centre at University of Wales, Cardiff, U.K.
The objective is to develop an integrated model combining artificial
neural networks with process based deterministic models to give more accurate
and efficient predictions of water quality in the Pearl River estuary. C. Selected recent output
D. Contact person
Dr. C. W. Li , Associate Professor Tel:(852) 2766 6043, Fax: (852) 2334 6389, Email: cecwli@polyu.edu.hk |
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Send mail to cewchu@polyu.edu.hk with
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