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| Titel |
Study of Disseminating Landslide Early Warning Information in Malaysia |
| VerfasserIn |
Swee Peng Koay, Habibah Lateh, Lea Tien Tay, Jamilah Ahamd, Huah Yong Chan, Naoki Sakai, Suhaimi Jamaludin |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250103703
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| Publikation (Nr.) |
 EGU/EGU2015-3116.pdf |
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| Zusammenfassung |
| In Malaysia, rain induced landslides are occurring more often than before. The Malaysian
Government allocates millions of Malaysian Ringgit for slope monitoring and slope failure
remedial measures in the budget every year. In rural areas, local authorities also play a major
role in monitoring the slope to prevent casualty by giving information to the residents who
are staying near to the slopes.
However, there are thousands of slopes which are classified as high risk slopes in
Malaysia. Implementing site monitoring system in these slopes to monitor the movement of
the soil in the slopes, predicting the occurrence of slopes failure and establishing early
warning system are too costly and almost impossible.
In our study, we propose Accumulated Rainfall vs. Rainfall Intensity prediction method to
predict the slope failure by referring to the predicted rainfall data from radar and the rain
volume from rain gauges. The critical line which determines if the slope is in danger, is
generated by simulator with well-surveyed the soil property in the slope and compared with
historical data. By establishing such predicting system, the slope failure warning
information can be obtained and disseminated to the surroundings via SMS, internet and
siren.
However, establishing the early warning dissemination system is not enough in disaster
prevention, educating school children and the community by giving knowledge on landslides,
such as landslide’s definition, how and why does the slope failure happen and when will it
fail, to raise the risk awareness on landslides will reduce landslides casualty, especially in
rural area. Moreover, showing video on the risk and symptom of landslides in school will also
help the school children gaining the knowledge of landslides. Generating hazard map and
landslides historical data provides further information on the occurrence of the slope
failure.
In future, further study on fine tuning of landslides prediction method, applying IT
technology to educate school children and disseminate warning information will assist the
government authorities to reduce landslide casualty by disseminating prompt slope
failure warning and improving the community’s awareness of disaster prevention. |
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