Cited by 22Environmental Monitoring and Data ManagementIntegrated Water Resources ManagementDigital Transformation in Industry

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Blueprint conceptualization for a river basin's digital twin

Open access

Abstract

To achieve a good ecological status of water resources, we are exploring new frontiers by envisioning river basin planning through the newly promoted digital twin perspective. In river basin management, a digital twin is an innovative virtual paradigm - a holistic living replica of the river basin achieved by seamless integration of real-time monitoring, historical observations, data analytics, predictive modeling, and high-performance computing within a framework of interoperable software and scalable hardware - leveraging nuanced understanding of complex environmental, social, and economic interactions, discerning uncertainties, and bridging critical knowledge gaps for progressive improvement in system understanding, optimization of operational efficiency, and continuous advancements in decision-making. This perspective paper lays the groundwork in transforming the futuristic vision of a river basin's digital twin into reality. The proposed blueprint outlines the processes for integrating digital twin components, creating dynamic replicas of river basin systems, and conducting virtual what-if analyses. Aligning with digital transformation, this work segments the river basin into distinct systems to effectively manage diverse objectives and ensure adaptability across various river basin types with spatiotemporal scalability. Supporting sustainable management, the digital twin holds immense potential to surpass existing decision-support systems through continuous bi-directional feedback loops with the river basin.

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Crossref · 10.2166/nh.2025.111

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  • Most current digital twin applications are limited to large-scale basins or lack granular coupling of biological dynamics with hydraulic physics.

    “However, most current applications are limited to large-scale basins or lack the granular coupling of biological dynamics with hydraulic physics 22 .”

    From AI-driven digital twinning quantifies the trade-off between flood conveyance and riparian stability under climate extremes (2026) · cites this paper as [22]

    Section 3 (Conclusion; page not provided) says relatively few studies have deployed digital twins in water-resource planning, while §2.7 (Overcoming challenges; page not provided) recommends coupling models. Neither establishes that most current applications are confined to large-scale basins or lack granular coupling of biological dynamics with hydraulic physics. Searches for those scale and coupling limitations found no passage making the claim. (LLM, conf=0.72)

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Citations

Cites

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Metadata

Authors
Pal, D., Marttila, H., Ala-Aho, P., Lotsari, E., Ronkanen, A.-K., Gonzales-Inca, C., Croghan, D., Korppoo, M., Kämäri, M., Rooijen, E. V., Blåfield, L., Silander, J., Baubekova, A., Bhattacharjee, J., Haghighi, A. T., Uvo, C. B., Kaartinen, H., Rasti, M., Klöve, B., & Alho, P.
Affiliations
  • University of Oulu (FI)
  • Aalto University (FI)
  • Finnish Environment Institute (FI)
  • University of Turku (FI)
  • Finnish Geospatial Research Institute (FI)
Corresponding author
Pal, Debasish
Venue
Hydrology Research
Publisher
Elsevier BV
Published
2025-03
Volume
56
Issue
3
Pages
197-212
ISSN
  • 0029-1277 (ISSN-L)
  • 1998-9563
OpenAlex
W4407524593
Cited by
22
References
4
Citations by year
2026: 14 · 2025: 8
FWCI
16.55
Type
journal article
Language
en
Open access
Locations
  • Hydrology research (publishedVersion, cc-by)
  • Aaltodoc (Aalto University) (acceptedVersion, other-oa)
  • UTUPub (University of Turku) (submittedVersion)
  • Työväentutkimus Vuosikirja (submittedVersion, cc-by)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
Academy of Finland (347704, 338480, 347703, 347701, 347702, 348022)
Topics
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Monitoring and Data Management
  • Physical Sciences › Environmental Science › Water Science and Technology › Integrated Water Resources Management
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
digital twin, river basin management, river basin planning, water resources management, what-if analysis, decision support system, real-time monitoring, predictive modeling, sustainable water management, feedback loops

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