Abstract
While planning and operation of smart liveable cities require a solid appreciation of the impacts of hydrodynamic phenomena, classical numerical simulation methods are slow and ill-suited both to today’s challenges and goals, and to tomorrow’s agile and stakeholder-inclusive approaches. Exploiting latest developments in machine learning, we present a new simulation approach that radically changes the way hydrodynamic modelling supports planning and operation. The approach builds on recent developments in neural networks suitable for incorporating physical network characteristics. The marked shorter turnaround time fosters better co-creation, string stakeholder involvement, comprehensive exploration of the solution space and associated impacts, and ultimately better investments towards more liveable cities.
Original language | English |
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Publication date | 2022 |
Number of pages | 4 |
Publication status | Published - 2022 |
Event | IWA World Water Congress & Exhibition 2022 - Bella Center, Copenhagen, Denmark Duration: 11 Sept 2022 → 15 Sept 2022 https://worldwatercongress.org/ |
Conference
Conference | IWA World Water Congress & Exhibition 2022 |
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Location | Bella Center |
Country/Territory | Denmark |
City | Copenhagen |
Period | 11/09/2022 → 15/09/2022 |
Internet address |
Bibliographical note
Danish Eco-Innovation Program (MUDP) (grant number 2020-15748).Keywords
- Hydrodynamic modelling
- Machine learning
- Urban planning