Vegetation-based approached for tsunami risk reduction: Insights and challenges

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2024-07-20 DOI:10.1016/j.pdisas.2024.100352

Benazir , Radianta Triatmadja , Syamsidik , Nizam , Warniyati

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Abstract

This review paper provides a comprehensive analysis of utilizing coastal vegetation as a mitigation strategy against tsunamis. It begins with an introduction to the historical impact of tsunamis on coastal vegetation and explores various types of trees known for their tsunami defense characteristics. The paper examines how vegetation can effectively protect against tsunamis based on past events, supported by both experimental and numerical studies. It also delves into innovative concepts proposed by researchers, including hybrid defense systems and optimized plantation layouts, to enhance the protective capabilities of coastal vegetation. Case studies from Aceh and South Java illustrate practical applications of reforestation efforts aimed at tsunami mitigation. Additionally, the paper discusses the challenges and limitations associated with implementing coastal vegetation strategies, emphasizing crucial factors such as maintenance and long-term sustainability.

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降低海啸风险的植被方法：启示与挑战

这篇综述论文对利用沿海植被作为海啸减灾战略进行了全面分析。论文首先介绍了海啸对沿海植被的历史影响，并探讨了各种类型的树木的海啸防御特性。论文以过去发生的事件为基础，通过实验和数值研究，探讨了植被如何有效抵御海啸。论文还深入探讨了研究人员提出的创新概念，包括混合防御系统和优化种植布局，以增强沿海植被的防护能力。亚齐和南爪哇的案例研究说明了旨在缓解海啸的植树造林工作的实际应用。此外，论文还讨论了与实施沿海植被战略相关的挑战和局限性，强调了维护和长期可持续性等关键因素。

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来源期刊

Progress in Disaster Science Social Sciences-Safety Research

CiteScore

14.60

自引率

3.20%

发文量

审稿时长

12 weeks

期刊介绍： Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.