scholarly journals Optimization of a Water Quality Monitoring Network Using a Spatially Referenced Water Quality Model and a Genetic Algorithm

Water ◽  
2017 ◽  
Vol 9 (9) ◽  
pp. 704 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Water Quality Model ◽  
Quality Monitoring ◽  
Quality Model ◽  
Water Quality Monitoring Network

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.

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.

Estimating sampling and analysis uncertainties to assess the fitness for purpose of a water quality monitoring network

2015 ◽  
Vol 21 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Nathalie Guigues ◽  
Michèle Desenfant ◽  
Béatrice Lalere ◽  
Sophie Vaslin-Reimann ◽  
Damien Eyl ◽  
...  
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Fitness For Purpose ◽  
Water Quality Monitoring Network
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