IJERPH, Vol. 15, Pages 195: Optimum Water Quality Monitoring Network Design for Bidirectional River Systems

IJERPH, Vol. 15, Pages 195: Optimum Water Quality Monitoring Network Design for Bidirectional River Systems

International Journal of Environmental Research and Public Health doi: 10.3390/ijerph15020195

Authors: Xiaohui Zhu Yong Yue Prudence Wong Yixin Zhang Jianhong Tan

Affected 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.

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