Blueprint for a digital twin of a river basin
Year of publication
2023
Authors
Pal, Debasish; Ala-Aho, Pertti; Ronkanen, Anna-Kaisa; Marttila, Hannu; Lotsari, Ellisa; Korppoo, Marie; Silander, Jari; Blåfield, Linnea; Alho, Petteri; Uvo, Cintia; Kämäri, Maria; Kaartinen, Harri
Abstract
Digital twins are part of ongoing digital transformation to test, monitor, and maintain physical environments virtually. The collaboration of smart measurement sensors, advanced communication networks, cloud data storage capacity, and cutting-edge computing techniques has the potential to create a digital twin of a river basin with greater physical, spatial, and temporal scalability. The digital twin is defined as a realistic virtual representation of the physical river basin that aids in improved decision-making through real-time data connectivity, association, and relationship. Because of the continuous bidirectional interactions between virtual and physical entities, the digital twin is unique to the physical river basin. The digital twin has the advantage of adapting to changing real-time river basin characteristics, resulting in increased operational efficiency, better uncertainty quantification, early warning detection, and identification of emergency management. By imagining smart river basin management via the digital twin concept, we are venturing into uncharted territory, with the goal of improving the ecological status of a river basin by balancing environmental and socioeconomic interdependence while minimizing natural resource depletion. This poster provides an overview of the concept, framework, methodology, and challenges involved in developing a digital twin of a river basin. The framework’s six dimensions are river basin, data, modeling, infrastructure, service, and connectivity. The methodology emphasizes the digital twin’s purpose identification, maturity spectrum, workflow architecture, technical core, data layers, model simulations, knowledge creation, and effective application. We discuss the key services provided by the digital twin for the river basin, as well as its future prospects for autonomous control in the physical river basin.
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ProfessionalMINEDU's publication type classification code
D3 Article in professional conference proceedingsPublication channel information
Conference
EGU General Assembly
Publisher
Copernicus publications
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
CC BY
Self-archived
Yes
Other information
Fields of science
Environmental sciences
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
Germany
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.5194/egusphere-egu23-15057
The publication is included in the Ministry of Education and Culture’s Publication data collection
No