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SEWER NETWORK EVALUATION USING DYNAMIC MODELING IN MIKE URBAN

Réka Wittmanová, Marek Šutúš, Ivana Marko, Ivona Škultétyová

First published: 2021-12-20https://doi.org/10.5593/sgem2021v/3.2/s12.22View metrics

Abstract

The purpose of mathematical modeling of runoff flow in sewer networks is to assess the hydraulic capacity and monitor their behavior in different conditions to predict the future state. Models of sewer networks are part of the design process. Their advantage is the possibility of simulating the future state of the network and the precipitation and runoff process in the context of climate change. With the help of simulations, it is possible to anticipate future conditions in the river basin and thus effectively design new networks. The presented paper focuses on using the MIKE URBAN model to assess of the sewer network of the city of Trnava, which lies in western Slovakia. The city's sewer network is obsolete and requires the reconstruction of certain sections. Problem sections of the network were identified using modeling. Reduced block rain with a return period of once in 2 years was used to simulate the storm event. The dry weather flow was simulated as a cyclic boundary condition corresponding to the water consumption unevenness curve.

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Publication details

Title
SEWER NETWORK EVALUATION USING DYNAMIC MODELING IN MIKE URBAN
Authors
Réka Wittmanová, Marek Šutúš, Ivana Marko, Ivona Škultétyová
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2021
Pages
143-150
SWS Citekey
Wittmanova202112185192
ISSN
1314-2704
ISBN
978-619-7603-32-3
Language
en
Publication type
Conference Paper
Keywords
References11
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  8. Radinja, M., Comas, J., Corominas, L., Atanasova, N., Assessing stormwater control measures using modelling and a multi-criteria approach, Journal of Environmental Management, vol. 243, pp 257-268, 2019.

  9. Kong, F., Ban, Y., Yin, H., James, P., Dronova, I., Modeling stormwater management at the city district level in response to changes in land use and low impact development, Environmental Modelling & Software, vol. 95, pp 132-142, 2017.

  10. Garofalo, G., Giordano, A., Piro, P., Spezzano, G., Vinci, A., A distributed real-time approach for mitigating CSO and flooding in urban drainage systems, Journal of Network and Computer Applications, vol. 78, pp 30-42, 2017.

  11. DHI. MIKE URBAN Model Manager, User Guide. 2017.

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