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Automated Calibration using Optimization Techniques with SWMM RUNOFF

Shawn Dent, R. Blair Hanna and Leonard T. Wright (2004)
Carollo Engineers; Colorado State University
DOI: https://doi.org/10.14796/JWMM.R220-18
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Abstract

The usefulness of a hydrologic model is directly related to its application and how well it is calibrated. Calibration is a subjective exercise where model parameters are adjusted to reduce discrepancies between measured data and modeled predictions. Automated calibration can be used to accelerate the model calibration process, minimize modeler bias, and increase the goodness of fit between measured and modeled hydrographs. During calibration of a complex hydrologic model, it may be difficult to simultaneously adjust predicted output hydrographs to correspondingly match multiple objectives (peak flows, total volume and shape of the hydrograph). Custom programming was used to link SWMM Runoff version 4.4h with Palisade’s Evolver software to improve model goodness of fit. A small sanitary sewer basin was simulated as part of a collection system rehabilitation pilot program to judge the effectiveness of infiltration and inflow (I/I) removal. A one-month time series of hourly flow measurements were used and calibration was performed with an automated calibration method that applied a genetic algorithm solution technique. Several goodness-of-fit metrics revealed an improved calibration for both pre- and post-rehabilitation flow hydrograph, as well as for projected hydrographs to a design event. This study demonstrates an accurate and cost-effective automated method for model calibration that is not only valuable for repeated model analyses performed throughout a collection system rehabilitation program, but can also be applied to other watershed models.

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PAPER INFO

Identification

CHI ref #: R220-18 926
Volume: 12
DOI: https://doi.org/10.14796/JWMM.R220-18
Cite as: CHI JWMM 2004;R220-18

Publication History

Received: N/A
First decision: N/A
Accepted: N/A
Published: February 15, 2004

Status

# reviewers: 2
Version: Final published

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© 2004 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).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Shawn Dent

Carollo Engineers, Newburyport, MA, USA
ORCiD:

R. Blair Hanna

Colorado State University, Fort Collins, CO, USA
ORCiD:

Leonard T. Wright

Carollo Engineers, Broomfield, CO, 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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