DEVELOPMENT AND APPLICATION OF A EUTROPHICATION WATER QUALITY MODEL FOR RIVER NETWORKS
DEVELOPMENT AND APPLICATION OF A EUTROPHICATION WATER QUALITY MODEL FOR RIVER NETWORKS作者机构:State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian 116023 China Department of Civil and Structural Engineering The Hong Kong Polytechnic University Hong Kong China Department of Engineering University of Aberdeen Aberdeen AB24 3UE UK
出 版 物:《Journal of Hydrodynamics》 (水动力学研究与进展B辑(英文版))
年 卷 期:2008年第20卷第6期
页 面:719-726页
核心收录:
学科分类:080103[工学-流体力学] 08[工学] 080104[工学-工程力学] 081502[工学-水力学及河流动力学] 0815[工学-水利工程] 0801[工学-力学(可授工学、理学学位)]
基 金:Project supported by the National Natural Science Foundation of China (Grant No.50839001) the National Basic Research Program of China (973 Program, Grant No. 2005CB724202)
主 题:Preissmann implicit scheme river networks hydrodynamic model water quality model biogeochemical transformations three-step method
摘 要:The Preissmann implicit scheme was used to discretize the one-dimensional Saint-Venant equations, the river-junction-fiver method was applied to resolve the hydrodynamic and water quality model for river networks, and the key issues on the model were expatiated particularly in this article. This water quality module was designed to compute time dependent concentrations of a series of constituents, which are primarily governed by the processes of advection, dispersion and chemical reactions. Based on the theory of Water Quality Analysis Simulation Program (WASP) water quality model, emphasis was given to the simulation of the biogeochemical transformations that determine the fate of nutrients, in particular, the simulation of the aquatic cycles of nitrogen and phosphorus compounds. This model also includes procedures for the determination of growth and death of phytoplankton. This hydrodynamic and water quality model was applied to calculate two river networks. As illustrated by the numerical examples, the calculated water level and discharge agree with the measured data and the simulated trends and magnitudes of water quality constituents are generally in good agreement with field observations. It is concluded that the presented model is useful in the pollutant control and in the determination of pollutant-related problems for river networks.