scholarly journals An Entropy-Based Approach to Fuzzy Multi-objective Optimization of Reservoir Water Quality Monitoring Networks Considering Uncertainties

2018 ◽  
Vol 32 (13) ◽  
pp. 4425-4443 ◽  
Author(s):  
Shokoufeh Pourshahabi ◽  
Mohammad Reza Nikoo ◽  
Ehsan Raei ◽  
Jan Franklin Adamowski
2016 ◽  
Vol 17 (4) ◽  
pp. 966-974 ◽  
Author(s):  
Mohammad Reza Nikoo ◽  
Shokoufeh Pourshahabi ◽  
Najmeh Rezazadeh ◽  
M. Ehsan Shafiee

Reservoir water quality is important for water quality management downstream. A hierarchical approach is developed to present the monitoring locations within a format that satisfies the objectives of social stakeholders for making final decisions. First, a CE-QUAL-W2 model is applied to simulate water quality variables in the reservoir for a long time using a set of historic data. Second, transinformation entropy theory is used to quantify mutual information among a set of monitoring stations for each water quality variable. Then, a non-dominating sorting genetic algorithm-based model is developed for multi-objective optimization of the water quality monitoring network. Finally, a social choice method is applied to the identified non-dominated solutions to achieve a strategy that is compromised among stakeholders. The variations of the water quality variables at different depths and different seasons are investigated. The proposed approach is illustrated for Karkheh Reservoir in Iran. The number of optimized monitoring stations is the same for all seasons (three out of 22 potential stations) using different social choice methods. The results show the appropriate performance of the proposed methodology for optimization of reservoir water quality monitoring stations.


Author(s):  
Nilgun B. Harmancioglu ◽  
Necdet Alpaslan ◽  
Vijay P. Singh

2019 ◽  
Vol 281 ◽  
pp. 03004 ◽  
Author(s):  
François Destandau ◽  
Youssef Zaiter

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?


2015 ◽  
Vol 31 (3) ◽  
pp. 225-240 ◽  
Author(s):  
Carly Hyatt Hansen ◽  
Gustavious P. Williams ◽  
Zola Adjei ◽  
Analise Barlow ◽  
E. James Nelson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document