A Study of The Upstream-downstream Interface in End-to-end Tsunami Early Warning and Mitigation Systems

Maheshika Sakalasuriya, Dilanthi Amaratunga, Richard Haigh, Siri Hettige

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The tsunami early warning and mitigation systems are typically used to detect the tsunami inundation before the impact so
that vulnerable communities can be alerted and the damage can be minimized. These systems typically entail upstream and
downstream processes, starting from the detection of tsunami wave and finishing with safe evacuation of people. There is an interface
between upstream and downstream mechanisms where the warning is issued and the decision to evacuate people are taken. In
individual countries, the system by which the information is disseminated from a national point to individual communities varies
significantly. Due to the complex nature of different administrative systems, it is difficult to understand who takes the decision to
evacuate, at which point and how is it taken. This paper is the first part of a more extensive study undertaken to understand and
evaluate the interface between the upstream and downstream mechanisms of the tsunami early warning system. The objective of the
paper is to present the findings of a literature review conducted as an initial step to the above study and to understand state of the art
and practices related to the interface of an end-to-end tsunami warning and mitigation system. The literature is grouped and analyzed
using the conceptual analysis method, in order to understand the concepts related to the tsunami early warning system, mainly
focusing on the issues pertaining to the interface. Through the literature review, a conceptual framework is developed, presenting
nine concepts and their relationships within the interface. This conceptual framework will serve as a strong theoretical foundation for
the future steps to be taken under the above study.
Original languageEnglish
Pages (from-to)2421-2427
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume8
Issue number6
DOIs
Publication statusPublished - 2018

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