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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

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Decision making in flood risk based storm sewer network design.

S A Sun¹, S Djordjević, S T Khu

¹University of Lyon, 69621 Villeurbanne cedex, France. siao.sum@insa-lyon.fr

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|November 8, 2011

Summary

This study explores decision-making for storm sewer network design, integrating flood risk and cost using multi-objective optimization. Different risk criteria lead to varied optimal designs, highlighting the importance of selection methods.

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

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Area of Science:

Environmental Engineering
Urban Hydrology
Risk Management

Background:

Storm sewer network design traditionally relies on predefined design storms.
Flood risk assessment is crucial, combining flood consequences and probabilities.
Integrating flood risk into design decisions is an ongoing challenge.

Purpose of the Study:

To explore decision-making processes for flood risk-based storm sewer network design.
To propose a multi-objective optimization approach for balancing construction cost and flood risk.
To investigate and compare various risk-based decision criteria.

Main Methods:

Multi-objective optimization to identify the Pareto front of optimal designs.
Application of traditional design storm criteria.
Investigation and application of expected flood risk, Hurwicz, and stochastic dominance criteria.
Comparative analysis of different decision-making criteria on a sample network.

Main Results:

The Pareto front provides a range of designs optimizing cost and flood risk.
Different risk-based criteria yield distinct optimal design selections.
The effectiveness of the proposed procedure is demonstrated on a case study.

Conclusions:

Flood risk-informed design requires careful consideration of decision-making criteria.
The choice of criterion significantly influences the selected storm sewer network design.
The proposed framework effectively integrates multi-objective optimization and risk-based decision analysis.