Multi-objective optimization of urban wastewater systems

Upaka Sanjeewa Rathnayake; Tiku Tanyimboh

Multi-objective optimization of urban wastewater systems

Upaka Sanjeewa Rathnayake, Tiku Tanyimboh

Civil And Environmental Engineering

Research output: Contribution to conference › Proceeding › peer-review

Abstract

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.

Original 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/Territory	Germany
City	Hamburg
Period	14/07/12 → 18/07/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

urban wastewater systems
combined sewer overflows
multiobjective evolutionary optimization
optimal control
wastewater treatment
NSGA II
genetic algorithm

Cite this

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title = "Multi-objective optimization of urban wastewater systems",

abstract = "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.",

keywords = "urban wastewater systems, combined sewer overflows, multiobjective evolutionary optimization, optimal control, wastewater treatment, NSGA II, genetic algorithm",

author = "Rathnayake, \{Upaka Sanjeewa\} and Tiku Tanyimboh",

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month = jul,

language = "English",

note = "10th International Conference on Hydroinformatics ; Conference date: 14-07-2012 Through 18-07-2012",

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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

T2 - 10th International Conference on Hydroinformatics

Y2 - 14 July 2012 through 18 July 2012

ER -

Multi-objective optimization of urban wastewater systems

Abstract

Conference

UN SDGs

Keywords

Other files and links

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Evolutionary multi-objective optimal control of combined sewer overflows

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