Multi-objective, decision-based assessment of a water quality monitoring network in a river system

2001 ◽  
Vol 4 (1) ◽  
pp. 121-126 ◽  
Author(s):  
S. K. Ning ◽  
Ni-Bin Chang
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
River System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Multi Objective ◽  
Water Quality Monitoring Network

scholarly journals Stakeholder engagement in multi-objective optimization of water quality monitoring network, case study: Karkheh Dam reservoir

2016 ◽  
Vol 17 (4) ◽  
pp. 966-974 ◽  
Author(s):  
Mohammad Reza Nikoo ◽  
Shokoufeh Pourshahabi ◽  
Najmeh Rezazadeh ◽  
M. Ehsan Shafiee
Keyword(s):  
Water Quality ◽  
Social Choice ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Multi Objective Optimization ◽  
Reservoir Water ◽  
Multi Objective ◽  
Water Quality Monitoring Network ◽  
Monitoring Stations

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.

Evaluation of Water Quality Monitoring Network in Geum River System Using Entropy Theory

2013 ◽  
Vol 13 (6) ◽  
pp. 447-453
Author(s):  
Jung Ho Lee ◽  
Yang Ho Song ◽  
Seonhwa Hong ◽  
Dongho Kim ◽  
Soohyung Lee ◽  
...  
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
River System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Entropy Theory ◽  
Water Quality Monitoring Network
Sign in / Sign up

Export Citation Format

Share Document