Early warning systemsEarly warning systems for tsunamis (TEWS) playBio-inspired technologies a vital role in mitigating the catastrophicCatastrophic tsunamis impact of tsunamisTsunamis on coastal populations and ecosystems. In spite of two decades of stepped-up development, it remains challenging to create adaptive, multi-hazardHazards-oriented, and reliable TEWS. This paper explores the evolution of TEWS, analyzing them in the context of international disaster resilienceDisaster resilience frameworks such as the Sendai Framework for Disaster Risk ReductionDisaster risk reduction (SFDRR) and the Sustainable Development GoalsSustainable Development Goals (SDGs) (SDGs). In this regard, a bibliometric analysis of two decades of Scopus-indexed publications was performed and subsequently visualized via VOS viewer, enabling identification of essential trends and future avenues of research in this area. In line with these findings, the study advocates for leveraging biological sensory mechanisms evident in marine organisms for next generation TEWS. Haemolymphic marine organisms such as crustaceans and fish have sophisticated sensory systems (e.g., mechanoreceptors, statocysts), which can sense minute environmental alterations, including undersea vibrations and pressure changes, often preceding tsunami occurrence. The paper looks at how nature works to create a new idea for a tsunamiTsunami warning system. This system uses the Internet of Things (IoT) and copies natural sensory abilities. It focuses on being eco-friendly, able to grow and adjust, and easily watched from a distance. The goal is to build technology that lowers the risk of disasters while being kind to the environment. The paper shows that by taking inspiration from nature, different areas of study can work together to make current Tsunami Early Warning SystemsTsunami Early Warning Systems (TEWS) (TEWS) better. This collaboration can help create a safer future for coastal areasCoastal areas that face risks.

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Integrating Bio-Inspired Technologies into Tsunami Early Warning Systems: A Sustainable Approach

  • Niloofar Abed,
  • Yasaman Abed,
  • Abtin Deldari

摘要

Early warning systemsEarly warning systems for tsunamis (TEWS) playBio-inspired technologies a vital role in mitigating the catastrophicCatastrophic tsunamis impact of tsunamisTsunamis on coastal populations and ecosystems. In spite of two decades of stepped-up development, it remains challenging to create adaptive, multi-hazardHazards-oriented, and reliable TEWS. This paper explores the evolution of TEWS, analyzing them in the context of international disaster resilienceDisaster resilience frameworks such as the Sendai Framework for Disaster Risk ReductionDisaster risk reduction (SFDRR) and the Sustainable Development GoalsSustainable Development Goals (SDGs) (SDGs). In this regard, a bibliometric analysis of two decades of Scopus-indexed publications was performed and subsequently visualized via VOS viewer, enabling identification of essential trends and future avenues of research in this area. In line with these findings, the study advocates for leveraging biological sensory mechanisms evident in marine organisms for next generation TEWS. Haemolymphic marine organisms such as crustaceans and fish have sophisticated sensory systems (e.g., mechanoreceptors, statocysts), which can sense minute environmental alterations, including undersea vibrations and pressure changes, often preceding tsunami occurrence. The paper looks at how nature works to create a new idea for a tsunamiTsunami warning system. This system uses the Internet of Things (IoT) and copies natural sensory abilities. It focuses on being eco-friendly, able to grow and adjust, and easily watched from a distance. The goal is to build technology that lowers the risk of disasters while being kind to the environment. The paper shows that by taking inspiration from nature, different areas of study can work together to make current Tsunami Early Warning SystemsTsunami Early Warning Systems (TEWS) (TEWS) better. This collaboration can help create a safer future for coastal areasCoastal areas that face risks.