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Journal of Hydroinformatics
Article . 2022 . Peer-reviewed
License: CC BY
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Journal of Hydroinformatics
Article . 2022
Data sources: DOAJ
https://dx.doi.org/10.60692/cr...
Other literature type . 2022
Data sources: Datacite
https://dx.doi.org/10.60692/yj...
Other literature type . 2022
Data sources: Datacite
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Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects?

هل يمكننا توسيع نطاق التوائم الرقمية للحلول القائمة على الطبيعة لمشاريع مياه الأمطار والأمن المائي العابر للحدود ؟
Authors: José Artur Teixeira Brasil; Marina Batalini de Macedo; Thalita Raquel Pereira de Oliveira; Filippo Ghiglieno; Vladimir Caramori Borges de Souza; Gabriel Marinho e Silva; Marcus Nóbrega Gomes; +2 Authors

Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects?

Abstract

Abstract Nature-based Solutions (NbS) are presented as an alternative and decentralized solutions with different application scales for problems addressed to urban expansion as water quality reduction and floods. The usage of control strategies and mathematical modeling techniques has shown promising results for optimizing hydraulic and water treatment processes. The Digital Twins (DT) as process integration technology are widely used in industry, and recently these technique usages in urban water systems are showing effective results in both management and planning. However, there is a lack of proper literature definition for DT applied to NbS, especially for stormwater and transboundary water security projects. Thus, this paper sought through a literature review to access the existing conceptual challenges and the DT definition as a framework, identify how the mathematical modeling reported in the literature can improve the DT development, and evaluate the potential benefits associated with the application of DT in NbS.

Keywords

Cartography, Building Energy Efficiency and Thermal Comfort Optimization, Water resources, Scale (ratio), Stormwater, Information technology, Epistemology, Environmental technology. Sanitary engineering, Environmental science, Engineering, technological nature-based solutions, digital twin framework, Energy Efficiency in Manufacturing and Industry Sector, Risk analysis (engineering), Business, digital approaches, Biology, TD1-1066, Environmental planning, Energy, Geography, Ecology, Renewable Energy, Sustainability and the Environment, Building and Construction, T58.5-58.64, Computer science, Surface runoff, Process (computing), FOS: Philosophy, ethics and religion, Philosophy, Operating system, Sustainability, FOS: Biological sciences, Physical Sciences, Water security, Quality (philosophy)

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