RESEARCH TRENDS AND MAPPING OF TSUNAMI EARLY WARNING SYSTEM (TEWS) DURING 2002-2022

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Binar Kurnia Prahani, Madlazim, Mohd Zaidi Bin Amiruddin, Shelly Andari, Achmad Samsudin, Saiyidah Mahtari

2023 Science of Tsunami Hazards Vol. 42 Issue 1 Article Cited by 1 SDG 13SDG 17 Quartile

Abstract

Natural disasters occur regardless of time and place. They become one of the problems that the world continues to anticipate in the future. The present article discusses one of the steps taken with technology, namely the Tsunami Early Warning System (TEWS). The specific objective is to provide information regarding trends and mapping of the TEWS over the last twenty years, and to use a type of bibliometric approach which contains multiple corresponding analyses. In addition, the source database used is Scopus is used with the help of visualization from VosViewer, Bibliometrix, Rstudio, and Ms-Excel methods. The aim of the report is to describe the relationship and correlation between the TEWS field, the individual writer, and the country. In addition, reported in this study is Lotka’s Law and Bradford’s Law contribution from some articles, authors, and countries. Additionally, the present study discusses the niche, motor, emerging or declining, and basic themes of TEWS. It is expected that this study can be used as a springboard for researchers before conducting investigations directly in the field. © 2023, Tsunami Society. All rights reserved.

Affiliations

Universitas Negeri Surabaya, Surabaya, 60231, Indonesia; Universitas Pendidikan Indonesia, Bandung, 40154, Indonesia; Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia

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