Evaluating sampling locations in river water quality monitoring networks: application of dynamic factor analysis and discrete entropy theory

2013 ◽  
Vol 70 (6) ◽  
pp. 2577-2585 ◽  
Author(s):  
Milad Memarzadeh ◽  
Najmeh Mahjouri ◽  
Reza Kerachian
Keyword(s):  
Water Quality ◽  
Factor Analysis ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Dynamic Factor Analysis ◽  
Dynamic Factor ◽  
Entropy Theory ◽  
Monitoring Networks ◽  
Sampling Locations ◽  
Discrete Entropy Theory

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?

Sign in / Sign up

Export Citation Format

Share Document