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Environmental Application of Digital Twins: A Review

  • Yamini Sahu,
  • Vaibhav Kumar Upadhyay

摘要

A digital twinDigital twin serves as a virtual replica of a real-life object, faithfully mirroring its behavior and status in a digital environment throughout its lifespan. Initially gaining popularity in manufacturing and industrial processes, digital twinDigital twin technology has now transcended industries and emerged as a valuable asset in diverse sectors, including environmental management and sustainabilitySustainability. This cutting-edge technology acts as a potent tool for facilitating simulations and real-time data synchronization between physical entities and their virtual counterparts, making it highly applicable to a wide array of environmental applications. The research papers presented in the list delve into various aspects of digital twinDigital twin technology, shedding light on its multifaceted roles and contributions. Topics covered encompass sustainable urban road planning, where digital twinsDigital twin prove instrumental in optimizing urban infrastructure and creating eco-friendly transportation systems. Additionally, the studies explore city digital twinDigital twin technologies, illuminating their potential for promoting sustainabilitySustainability in urban design and development and fostering citizen-centric smart cities that prioritize the needs of their inhabitants. Insights into the integration of digital twinsDigital twin with federated learning in smart cities underscore the importance of data-driven decision-making and resource optimization. Disaster management emerges as another critical domain, where digital twinsDigital twin play a pivotal role in enhancing emergency response strategies through the integration of artificial and human intelligence. The significance of digital twinsDigital twin extends to airport environments, enabling resilient disaster management responses to safeguard travelers and infrastructure. Furthermore, novel digital twinDigital twin architectures, coupled with synchronization-enhanced deep learning, empower early flood riskRisks predictions, bolstering city climate resilience planningClimate resilience planning. The application of digital twinsDigital twin in agriculture and railway bridge maintenance addresses essential challenges and opportunities for enhancing environmental sustainabilityEnvironmental sustainability and resource management.