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Civil-Comp Conferences
ISSN 2753-3239
CCC: 2
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY
Edited by: B.H.V. Topping and P. Iványi
Paper 14.1

Enhanced Automatic Calibration Toolbox for SWMM5

A. Vassiljev, I. Annus, N. Kändler, K. Kaur, M. Truu and K. Suits

Department of Civil Engineering and Architecture, Tallinn University of Technology, Estonia

Full Bibliographic Reference for this paper
A. Vassiljev, I. Annus, N. Kändler, K. Kaur, M. Truu, K. Suits, "Enhanced Automatic Calibration Toolbox for SWMM5", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 2, Paper 14.1, 2022, doi:10.4203/ccc.2.14.1
Keywords: calibration, groundwater, swmm, stormwater modelling, automatic calibration.

Abstract
Numerical modelling has become the go-to approach for stormwater management because it allows to investigate various scenarios at a fraction of the cost of a fullscale physical monitoring, which requires a large amount of equipment, personnel, and funds. Although the models are approximations of the physical world, they must be calibrated and validated using on-site measurements. This paper aims to contribute to the calibration side of modelling by reducing the time required for it. Calibration of a stormwater model (in our case, SWMM) typically necessitates the user to create and read an input file multiple times, which is a tedious and time-consuming task. The Excel-based automatic calibration module improves calibration significantly by eliminating the need to create and read input files after every single parameter change, reducing the time spent by the researcher on the creation and verification of new input files. SWMM5 was linked to Excel via a newly created dynamic link library, and the programming of the calibration module was done in Visual Basic programming language.

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