Water quality monitoring network design of keelung river, northern taiwan

1996 ◽  
Vol 34 (12) ◽  
pp. 49-57 ◽  
Author(s):  
S. L. Lo ◽  
J. T. Kuo ◽  
S. M. Wang
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Sampling Frequency ◽  
Quality Monitoring ◽  
Quality Model ◽  
Monitoring Network Design ◽  
Water Quality Monitoring Network ◽  
State Water ◽  
Northern Taiwan

The purpose of this study was to design the water quality monitoring network of the Keelung River which was channel regulated recently. A steady-state water quality model was used to simulate the BOD and DO curves. Kriging theory was applied for selecting the optimal locations of water quality monitoring network. The sampling frequency was determined by variances of water quality, considering the significant level and confidence interval. The optimal results indicated that more monitoring stations are needed in the downstream reaches. The stations suggested in the total number of monitoring network of the Keelung River is twenty-one, and the sampling frequency needs to be about two or three times per month.

scholarly journals The influence of artificial cutoff on a monitoring system and the water quality of the Keelung River

2002 ◽  
Vol 46 (11-12) ◽  
pp. 231-236 ◽  
Author(s):  
S.L. Lo ◽  
J.T. Kuo ◽  
S.M. Wang
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Water Quality Model ◽  
Quality Monitoring ◽  
Low Flow ◽  
Quality Model ◽  
Significance Level ◽  
Water Quality Monitoring Network ◽  
State Water

The purpose of this study was to design a water quality monitoring network for the Keelung River in order to evaluate the effects of artificial cutoff across two bend channels. A steady-state water quality model was used to simulate the BOD and DO curves. The Kriging theory was applied to select the optimal locations for a water quality monitoring network. The sampling frequency was determined by the coefficients of variation of water quality and by considering the significance level and confidence interval. After calibration and verification of the water quality model, the model was applied and the simulation results indicated that the values of DO in the new channel would be higher than those of the old channel reaches. The critical point of the oxygen sag curve would shift to the mouth of river under Q75 low-flow conditions, and the BOD values in the new channel would also slightly increase. The results further indicated that more monitoring stations would be needed in the downstream reaches.

Optimization of Water Quality Monitoring Networks

1984 ◽  
Vol 16 (5-7) ◽  
pp. 275-287 ◽  
Author(s):  
S Groot ◽  
T Schilperoort
Keyword(s):  
Water Quality ◽  
Essential Element ◽  
Monitoring Network ◽  
Optimization Procedure ◽  
Water Quality Monitoring ◽  
Sampling Frequency ◽  
Quality Monitoring ◽  
Optimization Approach ◽  
Monitoring Networks ◽  
Water Quality Monitoring Network

At the moment the water quality monitoring network in the main surface waters in The Netherlands includes almost 400 sampling locations with a sampling interval of 1 to 4 weeks. The number of water quality variables analysed varies per location from 15 up to 100. Recent developments, such as limiting financial and laboratory capacities and changing objectives of the routine water quality investigations, necessitate an optimization of this monitoring network. Being an essential element in the optimization procedure, a relationship has to be found between the cost of obtaining information from the network and the effectiveness of the information, the latter being strongly dependent on the objective(s) of the network. In this paper a general optimization approach is presented. Also a method is proposed, worked out and applied, that relates the effectiveness of the information to the sampling frequency of the water quality monitoring network. This method can be used for the optimization of the sampling frequency for the main objectives of the routine water quality research i.e. the detection of trends in water quality constituents.

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

2017 ◽  
Author(s):  
Xiaohui Zhu ◽  
Yong Yue ◽  
Prudence W. H. Wong ◽  
Yixin Zhang
Keyword(s):  
Water Quality ◽  
Network Design ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Network Design ◽  
Water Flows ◽  
Water Quality Monitoring Network ◽  
Pollution Detection ◽  
Optimum Water

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.

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