Three-dimensional pollutant transport model for the Pearl River Estuary

Abstract

Abstract:In this paper, the development and implementation of a three-dimensional, numerical pollutant transport model, which is based on an orthogonal curvilinear coordinate system in the horizontal direction and a sigma coordinate system in the vertical direction, is delineated. An efficient as well as simple open boundary condition is employed for pollutant transport in this mathematical model. It is then applied to model the distribution and transport of Chemical Oxygen Demand (COD) in the Pearl River Estuary (PRE). The results from the numerical simulations illustrate that the transboundary or inter-boundary effects of pollutants, between the Guangdong Province and the Hong Kong Special Administrative Region due to the wastewater discharged from the Pearl River Delta Region, are quite strong.

Persistent organic pollution characterization of sediments in Pearl River estuary

“…Moreover, untreated sewage with enormous amount of various pollutants is discharged in an escalating volume. The water quality within the delta is found to be deteriorating (Jin et al 1998;Hong et al 1999;Chau and Jiang 2002).…”

“…The rapid economic boom and growing agricultural, industrial and municipal 31 development in the delta region of the Pearl River estuary, which is one of the largest 32 river systems in China, leads to substantial accumulation of toxic organic compounds 33 and a significant environmental impact has been imposed on the ambient conditions 34 (Chau 2001;Mai et al 2001;Chau and Jiang 2002). In estuarine ecosystems, 35 settling or sedimentation on the seabed has been identified as an important fate of 36 contaminants.…”

An unsteady three-dimensional eutrophication model in Tolo harbour, Hong Kong

“…In the following sections, subscript "k", "u" and "l" represent the value in the k th layer, upper layer, and lower layer, respectively. The following differential transport equations are expressed for layer-averaged concentration of an individual state variable under the boundary-fitted orthogonal curvilinear co-ordinate system (Thompson et al, 1985;Chau and Jiang, 2002):…”

A review on integration of artificial intelligence into water quality modelling

“…The shape function can be of first order, second order or higher order. The modelling can be simplified into different spatial dimensions, i.e., 1-dimensional model, 2-dimensional depth-averaged model, 2-dimensional layered model, 3-dimensional model, etc [1][2][3][4][5][6][7][8]. The analysis of coastal hydraulics and water quality generally involves heuristics and empirical experience and it is effected through some simplifications and modelling techniques on the basis of the experience of specialists [9].…”