Optimum Water Quality Monitoring Network Design for Bidirectional River Systems

Xiaohui Zhu, Yong Yue, Prudence W. H. Wong, Yixin Zhang and Jianhong Tan
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Xiaohui Zhu: Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
Yong Yue: Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
Prudence W. H. Wong: Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK
Yixin Zhang: XJTLU-Huai’an Research Institute of New-Type Urbanization, Huai’an 223005, China
Jianhong Tan: Jiangsu Province Hydrology and Water Resources Investigation Bureau Suzhou Branch, Suzhou 215011, China

IJERPH, 2018, vol. 15, issue 2, 1-19

Abstract: 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.

Keywords: multi-objective particle swarm optimization; water quality monitoring network; optimum monitoring network design; bidirectional water flows; storm water management model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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