Optimal water quality monitoring network design for river systems

Telci, Ilker T.; Nam, Kijin; Guan, Jiabao; Aral, Mustafa M.

doi:10.1016/j.jenvman.2009.04.011

Cited by 109 publications

(87 citation statements)

References 18 publications

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“…Here we use SWMM to simulate the pollution events and pollutants transport along the river system. To compare our study results with the achievements given by Ouyang et al (2008) and Telci et al (2008Telci et al ( , 2009), we use the same hypothetical river network they used in Figure 1. We build the river network using SWMM shown in Figure 1.…”

Section: Hydrodynamic Simulationsmentioning

confidence: 99%

“…Telci et al (2008) argued 15 that the design of an optimal water quality monitoring network should mainly focus on two objectives: minimal pollution detection time and maximal detection reliability and calculated the optimal placement of monitoring devices using the GA under relatively simple discrete uniform distributions on spill events. They also applied this methodology to the Altamaha river basin to identify the locations of the best monitoring stations in the river system (Telci et al, 2009). However, the Pareto frontier for the optimization results was not mentioned in this paper resulting in difficulties for evaluating all the optimization results.…”

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confidence: 99%

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Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO

Zhu

Yue

Wong

et al. 2017

Preprint

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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 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 10 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.

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Section: Hydrodynamic Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO

Zhu

Yue

Wong

et al. 2017

Preprint

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“…On the contrary, unsuitable design of a water quality monitoring network will result in a deficiency of water quality data and a misjudgment of water environmental conditions. Water quality management strategies should be based on correct information from a water quality monitoring system (Lo et al 1996;Nare et al 2006;Chilundo et al 2008;Telci et al 2009). …”

Section: Introductionmentioning

confidence: 99%

Using the VIKOR method to evaluate the design of a water quality monitoring network in a watershed

Chang

Lin

2013

Int. J. Environ. Sci. Technol.

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Water quality monitoring stations play critical roles for analyzing the information of water quality conditions in a watershed. The understanding of water quality conditions of a river system is very important for water resource management. This study applied the VIKOR method, a commonly used method in multiple criteria analysis, to evaluate the design of the water quality monitoring network in the Taipei Water Resource Domain (TWRD). Five criteria were selected for multiple criteria analysis: non-point source pollution, green cover ratio, landslide area ratio, over-utilization area ratio of hillsides, and density of water quality monitoring stations. This study recommended several areas where there is a need for sufficient monitoring records of water quality. The result shows that more monitoring stations are needed in the BeiShih Creek Basin. Although the Nan-Shih Creek Basin covers larger area than the Bei-Shih Creek Basin and the Sin-Dian Creek Basin, it can accept less density of water quality monitoring stations.

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“…In previous studies, empirical, statistical and ranking methods have been applied to design monitoring systems (Lao et al, 1996;Strobl and Robillard, 2008;Telci et al, 2009). The empirical methods enable to design a monitoring scheme according to the available knowledge, the layout of the main stream, the layout of the tributaries and the distribution of the major pollution sources (Chilundo et al, 2008;MacDonald et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Other methods; e.g. matter element analysis (Gao, 1997;Ma and Jiang, 2006;Wu et al, 2010), fuzzy clustering (Liang et al, 2002;Karamouz et al, 2009), genetic algorithms (Icaga, 2005;Park et al, 2006;Telci et al, 2009) and entropy analyses (Mahjouri and Kerachian, 2011) have been applied as well to optimize water quality monitoring networks.…”

Section: Introductionmentioning

confidence: 99%

Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses

Chen

Blanckaert

et al. 2012

Journal of Environmental Management

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Optimal water quality monitoring network design for river systems

Cited by 109 publications

References 18 publications

Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO

Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO

Using the VIKOR method to evaluate the design of a water quality monitoring network in a watershed

Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses

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