Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 6 | |
Section | Strengthening Sustainbility Development | |
DOI | https://doi.org/10.1051/matecconf/201822902005 | |
Published online | 14 November 2018 |
Consideration of cost-efficient early warning system utilizing existing analogue radio broadcasting in Indonesia
1 Japan Telecommunications Engineering and Consulting Service, 1410031 Tokyo, Japan
2 Radio Republik Indonesia, 10110 Jakarta, Indonesia
* Corresponding author: kamei@jtec.or.jp
Early warning systems can increase disaster management capacity. Indonesia worked out the national development policy direction of 2015 – 2019 containing establishment of early warning systems. Japan is operating early warning systems using various ICT systems. Especially an emergency warning broadcasting system to activate corresponding receivers automatically is being operated since 1985. Considering a situation in Indonesia to develop early warning systems from now, an updated early warning broadcasting system can incorporate an earthquake early warning that can provide predicted seismic intensity in each location on the basis of an observed big earthquake prior to actual shaking. The updated system can be cost-efficiently deployed nationwide in Indonesia by combining existing analog radio broadcasting of the public radio network RRI and existing loudspeakers in mosques. Because definitive operation rules need to be established to operate the early warning systems effectively, an operation scenario to provide tsunami warnings is considered as the first step for Indonesia to utilize existing its Warning Receiver System in RRI stations.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.