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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.
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Organizations and authors

Finnish Environment Institute

Silander Jari Orcid -palvelun logo

Ronkanen Anna-Kaisa Orcid -palvelun logo

Uvo Cintia Orcid -palvelun logo

Kämäri Maria Orcid -palvelun logo

Korppoo Marie Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Professional

MINEDU's publication type classification code

D3 Article in professional conference proceedings

Publication 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