Optimum Water Quality Monitoring Network Design for Bidirectional River Systems
AbstractAffected by regular tides, bidirectional water flows play a crucial role in surface river systems. Using optimization theory to design a water quality monitoring network can reduce the redundant monitoring nodes as well as save the costs for building and running a monitoring network. A novel algorithm is proposed to design an optimum water quality monitoring network for tidal rivers with bidirectional water flows. Two optimization objectives of minimum pollution detection time and maximum pollution detection probability are used in our optimization algorithm. We modify the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and develop new fitness functions to calculate pollution detection time and pollution detection probability in a discrete manner. In addition, the Storm Water Management Model (SWMM) is used to simulate hydraulic characteristics and pollution events based on a hypothetical river system studied in the literature. Experimental results show that our algorithm can obtain a better Pareto frontier. The influence of bidirectional water flows to the network design is also identified, which has not been studied in the literature. Besides that, we also find that the probability of bidirectional water flows has no effect on the optimum monitoring network design but slightly changes the mean pollution detection time. View Full-Text
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Zhu, X.; Yue, Y.; Wong, P.W.H.; Zhang, Y.; Tan, J. Optimum Water Quality Monitoring Network Design for Bidirectional River Systems. Int. J. Environ. Res. Public Health 2018, 15, 195.
Zhu X, Yue Y, Wong PWH, Zhang Y, Tan J. Optimum Water Quality Monitoring Network Design for Bidirectional River Systems. International Journal of Environmental Research and Public Health. 2018; 15(2):195.Chicago/Turabian Style
Zhu, Xiaohui; Yue, Yong; Wong, Prudence W.H.; Zhang, Yixin; Tan, Jianhong. 2018. "Optimum Water Quality Monitoring Network Design for Bidirectional River Systems." Int. J. Environ. Res. Public Health 15, no. 2: 195.
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