A novel Bayesian maximum entropy-based approach for optimal design of water quality monitoring networks in rivers

2021 ◽  
pp. 126822
Author(s):  
Reza Salman ◽  
Mohammad Reza Nikoo ◽  
Shahab Aldin Shojaeezadeh ◽  
Pouyan Hatami Bahman Beiglou ◽  
Mojtaba Sadegh ◽  
...  
Keyword(s):  
Water Quality ◽  
Optimal Design ◽  
Maximum Entropy ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Bayesian Maximum Entropy ◽  
Monitoring Networks

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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