A Multi-Objective Artificial Bee Colony-based optimization approach to design water quality monitoring networks in river basins

2017 ◽  
Vol 166 ◽  
pp. 579-589 ◽  
Author(s):  
Carlos J. Pérez ◽  
Miguel A. Vega-Rodríguez ◽  
Klara Reder ◽  
Martina Flörke
Keyword(s):  
Water Quality ◽  
Artificial Bee Colony ◽  
Water Quality Monitoring ◽  
River Basins ◽  
Quality Monitoring ◽  
Optimization Approach ◽  
Monitoring Networks ◽  
Multi Objective ◽  
Bee Colony

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 Optimal spatio-temporal design for water quality monitoring networks in maximizing economic value of information

2019 ◽  
Vol 281 ◽  
pp. 03004 ◽  
Author(s):  
François Destandau ◽  
Youssef Zaiter
Keyword(s):  
Water Quality ◽  
Value Of Information ◽  
Cost Benefit Analysis ◽  
Economic Value ◽  
Cost Benefit ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Networks ◽  
Spatio Temporal ◽  
The Cost

The Water Framework Directive 2000/60/EC draw attention to Water Quality Monitoring Networks (WQMN) that allows the acquisition of information regarding water streams. Information could be acquired by a spatial and/or temporal approach. However, there is a cost for monitoring water quality. Hence, to determine the spatio-temporal design of the network, the Economic Value of Information must be known to undertake a cost-benefit analysis. In this study, we show how the calculation of the EVOI can help the network manager to answer questions such as: is the cost of monitoring justified? How to allocate a budget between adding a monitoring station or increasing the frequency of measurement of existing stations?

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