Abstract
| Language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - Jul 2012 |
| Event | 10th International Conference on Hydroinformatics - Hamburg, Germany Duration: 14 Jul 2012 → 18 Jul 2012 |
Conference
| Conference | 10th International Conference on Hydroinformatics |
|---|---|
| Country | Germany |
| City | Hamburg |
| Period | 14/07/12 → 18/07/12 |
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Keywords
- urban wastewater systems
- combined sewer overflows
- multiobjective evolutionary optimization
- optimal control
- wastewater treatment
- NSGA II
- genetic algorithm
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Multi-objective optimization of urban wastewater systems. / Rathnayake, Upaka Sanjeewa; Tanyimboh, Tiku.
2012. 10th International Conference on Hydroinformatics, Hamburg, Germany.Research output: Contribution to conference › Proceeding
TY - CONF
T1 - Multi-objective optimization of urban wastewater systems
AU - Rathnayake, Upaka Sanjeewa
AU - Tanyimboh, Tiku
PY - 2012/7
Y1 - 2012/7
N2 - Combined sewer overflows (CSOs) are one of the environmental problems in many cities. Damage to the natural environment by these CSOs is considerable. Controlling urban wastewater systems is one possible way of addressing the environmental issues from CSOs. However, controlling urban sewer systems optimally is still a challenge, when considering the receiving water quality effects. In this study, a multi-objective optimization approach was formulated considering the pollution load to the receiving water from CSOs and the cost of the wastewater treatment. The optimization model was tested using an interceptor sewer system. Results from the study show some promising findings.
AB - Combined sewer overflows (CSOs) are one of the environmental problems in many cities. Damage to the natural environment by these CSOs is considerable. Controlling urban wastewater systems is one possible way of addressing the environmental issues from CSOs. However, controlling urban sewer systems optimally is still a challenge, when considering the receiving water quality effects. In this study, a multi-objective optimization approach was formulated considering the pollution load to the receiving water from CSOs and the cost of the wastewater treatment. The optimization model was tested using an interceptor sewer system. Results from the study show some promising findings.
KW - urban wastewater systems
KW - combined sewer overflows
KW - multiobjective evolutionary optimization
KW - optimal control
KW - wastewater treatment
KW - NSGA II
KW - genetic algorithm
UR - http://www.iahr.net/site/newsweb/newsflash/newsflash/04_10/A1_general_information_LOC_PCO_final.pdf
M3 - Proceeding
ER -