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Integration of Probabilistic and Physically-Based Modelling with Optimization Methods for Stormwater Infrastructure Rehabilitation.

Miguel A. Medina, Jr. and Timothy L. Jacobs (1994)
Duke University
DOI: https://doi.org/10.14796/JWMM.R176-14
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Abstract

Probabilistic stormwater flows are determined using kinematic wave routing methods and long-term historical rainfall. A multiobjective chance constrained optimization model, subject to constraints based upon physical modelling and historical rainfall data, is applied to a stormwater drainage network in Atlanta, Georgia. The optimization model objectives include minimization of total rehabilitation costs and maximization of stormwater system reliability. Rehabilitation alternatives include replacement, upgrading and varying the design capacity of the drainage system. This modelling approach can be used to develop trade-off relationships between the minimum rehabilitation cost and the probability of failure of the drainage system due to stormwater events. Results of optimization with a simplified runoff model (the rational formula with intensity-frequency-duration curves derived from Gumbel statistical methods) are compared to the results obtained by kinematic routing of stormwater through the channels and pipes of the network, using long-term historical rainfall as input.

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PAPER INFO

Identification

CHI ref #: R176-14 1162
Volume: 2
DOI: https://doi.org/10.14796/JWMM.R176-14
Cite as: CHI JWMM 1994;R176-14

Publication History

Received: N/A
First decision: N/A
Accepted: N/A
Published: February 15, 1994

Status

# reviewers: 2
Version: Final published

Copyright

© 1994 CHI. Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

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AUTHORS

Miguel A. Medina, Jr.

Duke University, Durham, NC, USA
ORCiD:

Timothy L. Jacobs

Duke University, Durham, NC, USA
ORCiD:


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  JWMM content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0 DEED)


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