DocumentCode :
2513481
Title :
Model-Based Method to Establish Total Pollution Load Control Objective for Looped River Network
Author :
Zeng, Siyu ; Xu, Yijian ; Du, Pengfei ; Chen, Jining
Author_Institution :
Dept. of Environ. Sci. & Eng., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
A water quality model was developed for the surface water system made up of looped river networks. It consisted of a hydrological sub-model and a water quality sub-model. The former was built up based on the Saint Venant equations, while the latter modified the traditional CSTR taking the uncertain flow direction into account. What the model described was the temporal and spatial changes of COD, NH4-N and DO concentration of the looped river network. By utilizing the prediction function of the model, a method for establishing the pollution load control objective has been given. Through Monte-Carlo-based model running, a series of pollutant load scenarios which met the water quality requirements could be produced. The scenario with maximum load can be used to determine the load control objectives. With the case of Lucheng River Network in China, the model has been calibrated and the load control objectives for COD and NH4-N have been brought forward.
Keywords :
load regulation; river pollution; rivers; water pollution control; water quality; China; Lucheng River Network; Saint Venant equations; hydrological sub-model; looped river networks; pollutant load; pollution load control; prediction function; surface water system; water quality sub-model; Continuous-stirred tank reactor; Equations; Inductors; Large-scale systems; Load flow control; Load modeling; Predictive models; Rivers; Surface contamination; Water pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5163065
Filename :
5163065
Link To Document :
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