دورية أكاديمية
أعرض في EDS

Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems.

التفاصيل البيبلوغرافية
العنوان: Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems.
المؤلفون: Riaz K; Department of Environmental Science, Atlantic Technological University, ATU Sligo, Ash Ln, Ballytivnan, F91 YW50 Sligo, Ireland., McAfee M; Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, F91 YW50 Sligo, Ireland., Gharbia SS; Department of Environmental Science, Atlantic Technological University, ATU Sligo, Ash Ln, Ballytivnan, F91 YW50 Sligo, Ireland.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 28; Vol. 23 (5). Date of Electronic Publication: 2023 Feb 28.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, c2000-
مستخلص: Cities, and in particular those in coastal low-lying areas, are becoming increasingly susceptible to climate change, the impact of which is worsened by the tendency for population concentration in these areas. Therefore, comprehensive early warning systems are necessary to minimize harm from extreme climate events on communities. Ideally, such a system would allow all stakeholders to acquire accurate up-to-date information and respond effectively. This paper presents a systematic review that highlights the significance, potential, and future directions of 3D city modelling, early warning systems, and digital twins in the creation of technology for building climate resilience through the effective management of smart cities. In total, 68 papers were identified through the PRISMA approach. A total of 37 case studies were included, among which (n = 10) define the framework for a digital twin technology, (n = 14) involve the design of 3D virtual city models, and (n = 13) entail the generation of early warning alerts using the real-time sensor data. This review concludes that the bidirectional flow of data between a digital model and the real physical environment is an emerging concept for enhancing climate resilience. However, the research is primarily in the phase of theoretical concepts and discussion, and numerous research gaps remain regarding the implementation and use of a bidirectional data flow in a true digital twin. Nonetheless, ongoing innovative research projects are exploring the potential of digital twin technology to address the challenges faced by communities in vulnerable areas, which will hopefully lead to practical solutions for enhancing climate resilience in the near future.
References: Landsc Res. 2020;45(1):63-80. (PMID: 31983788)
Sci Total Environ. 2021 Nov 10;794:148539. (PMID: 34323742)
Nat Commun. 2020 Sep 29;11(1):4741. (PMID: 32994404)
Am J Nurs. 2014 Mar;114(3):53-8. (PMID: 24572533)
Sci Total Environ. 2022 Nov 15;847:157603. (PMID: 35901893)
Sci Rep. 2019 Sep 11;9(1):13165. (PMID: 31511605)
J Environ Manage. 2021 Nov 1;297:113236. (PMID: 34303938)
Euro Surveill. 2017 Aug 3;22(31):. (PMID: 28797329)
Int J Surg. 2021 Apr;88:105906. (PMID: 33789826)
Sci Total Environ. 2021 Aug 25;784:147058. (PMID: 34088074)
Clim Risk Manag. 2020;29:100233. (PMID: 32832376)
معلومات مُعتمدة: 101003534 Horizon 2020
فهرسة مساهمة: Keywords: 3D city modelling; coastal climate change; digital twin; early warning system; real-time sensors; smart cities; virtual cities
تواريخ الأحداث: Date Created: 20230311 Date Completed: 20230313 Latest Revision: 20230314
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC10007107
DOI: 10.3390/s23052659
PMID: 36904867
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s23052659