Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2017-124
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
07 Apr 2017
Review status
This discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO
Xiaohui Zhu1,4, Yong Yue1,3, Prudence W. H. Wong5, and Yixin Zhang2,3 1Department of Computer Science and Software Engineering, Xi'an-Jiaotong Liverpool University, Suzhou, Jiangsu Province, 215123 P. R. China
2Department of Environmental Science, Xi'an-Jiaotong Liverpool University, Suzhou, Jiangsu Province, 215123 P. R. China
3Research Institute of New-type Urbanization, Huai'an, Jiangsu Province, 223005 P. R. China
4Department of Computer Science, Nantong University, Nantong, Jiangsu Province, 226019 P. R. China
5Department of Computer Science, University of Liverpool, Liverpool, L69 3BX United Kingdom
Abstract. Designing an optimum water quality monitoring network will not only minimize the pollution detection time and maximize the detection probability in river systems, but also reduce the redundant monitoring nodes and save the investment and costs for building and running the network. We propose a novel method for the optimum water quality monitoring network design and identification of the influence of bidirectional water flows which has not be studied in the literature. In order to handle discrete issues of designing an optimum water quality monitoring network for bidirectional rivers, we have modified the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and developed new fitness functions. The Storm Water Management Model (SWMM) is used to simulate pollution events of a hypothetical river network which was studied in the literature for comparative analysis of our work. Simulation results show that the modified MOPSO can obtain a better Pareto frontier whilst bidirectional water flows have a significant effect on the optimization monitoring network design. We achieve a different optimum deployment from unidirectional water flow for the same river system. We also find that the probability of bidirectional water flows has no effect on the optimum monitoring network design but the pollution detection threshold of the monitoring devices can affect the network design when the threshold is high.

Citation: Zhu, X., Yue, Y., Wong, P. W. H., and Zhang, Y.: Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2017-124, in review, 2017.
Xiaohui Zhu et al.
Xiaohui Zhu et al.
Xiaohui Zhu et al.

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Short summary
This paper proposed a novel multi-objective optimization algorithm for bidirectional water flows in water quality monitoring network optimization using MOPSO algorithm. We slightly revised the original MOPSO to support the discrete optimization in the design of water quality monitoring network. Simulation results show that the optimal deployment for bidirectional water flows is quite different from the unidirectional water flow.
This paper proposed a novel multi-objective optimization algorithm for bidirectional water flows...
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