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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Robust optimization approach to regional wastewater system planning.

João A Zeferino¹, Maria C Cunha, António P Antunes

¹Department of Civil Engineering, University of Coimbra, Polo II, Rua Luis Reis Santos, 3030-788 Coimbra, Portugal. zeferino@dec.uc.pt

Journal of Environmental Management

|June 19, 2012

Summary

This study introduces robust optimization models for wastewater system planning under uncertain river flow conditions. The models ensure effective solutions across various future scenarios, optimizing costs and water quality.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Environmental Engineering
Operations Research
Water Resource Management

Background:

Wastewater systems face uncertainties from demographic, economic, environmental, and technological factors.
Robust optimization seeks solutions resilient to various future scenarios.
Planning wastewater systems involves balancing setup/operation costs with water quality discharge standards.

Purpose of the Study:

To develop robust optimization models for regional wastewater system planning.
To address uncertainty in river flow impacting wastewater discharge.
To find planning decisions that perform well under diverse future conditions.

Main Methods:

Three robust optimization models for regional wastewater system planning were proposed.
A simulated annealing algorithm enhanced with a local improvement procedure was used for solving the models.
Models were applied to a case study representing a real-world situation.

Main Results:

The study presents and compares results from the application of the proposed models.
The models provide a framework for decision-making under uncertainty in wastewater management.
Performance of the robust optimization approach was evaluated against a real-world scenario.

Conclusions:

Robust optimization offers a viable approach for wastewater system planning under uncertain river flows.
The developed models can aid in creating resilient and cost-effective wastewater infrastructure.
Effective planning requires considering future uncertainties to ensure long-term system performance.