Abstract
Combined sewer networks carry wastewater and stormwater together. Capacity limitation of these sewer networks results in combined sewer overflows (CSOs) during high-intensity storms. Untreated CSOs when directly discharged to the nearby natural water bodies cause many environmental problems. 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. The results demonstrate the benefits of the multi-objective optimization approach and its potential to establish the key properties of a range of control strategies through an analysis of the various tradeoffs involved.
| Original language | English |
|---|---|
| Title of host publication | Urban Water |
| Pages | 87-96 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 1st International Conference on the Design, Construction, Maintenance, Monitoring and Control of Urban Water Systems, UW 2012 - New Forest, United Kingdom Duration: 25 Apr 2012 → 27 Apr 2012 |
Publication series
| Name | WIT Transactions on the Built Environment |
|---|---|
| Volume | 122 |
| ISSN (Print) | 1743-3509 |
Conference
| Conference | 1st International Conference on the Design, Construction, Maintenance, Monitoring and Control of Urban Water Systems, UW 2012 |
|---|---|
| Country/Territory | United Kingdom |
| City | New Forest |
| Period | 25/04/12 → 27/04/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Combined sewer overflows, effluent quality index, evolutionary computing, genetic algorithm, multi-objective optimization, combined sewer systems
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