Peramalan Terjadinya Gempa Bumi Tektonik Untuk Wilayah Pulau Nias Menggunakan Metode Distribusi Weibull, Gumbel Dan Eksponensial
| Main Author: | Malau, Nya Daniaty |
|---|---|
| Other Authors: | Sitepu, Mester |
| Format: | Student Papers |
| Bahasa: | ind |
| Subjects: | |
| Online Access: |
http://repository.usu.ac.id/handle/123456789/34571 |
Daftar Isi:
- A tektonic earthquake of Sumatra Island and the surrounding area is generally caused by shifting plates of Southeast Asia and South towards the North towards the Australia plate. Of seismic events that occurred, some of which are large damaging earthquakes, the earthquake that caused damage to an area. Nias Island is an island located west of North Sumatra dipesisir which has a fairly high level of seismicity. This paper discusses the problem of forecasting the occurrence of tectonic earthquakes for the island of Nias, located on the site: 0o191433215'LU-1o81935164'LU and 96.9730868 BTo-98.5386867oBB. By using the data a powerful earthquake that caused damage. Tectonic earthquake forecasting is done with method 3 parameter Weibull distribution, two parameter Gumbel distribution and exponential distribution of parameter 1. using the data as much as 47 damaging earthquakes from year 1960 to 2012, which is a major earthquake (mainshock) the magnitude of 6.0 - 9.1 SR. To calculate the waiting time distribution forecasting using a third used the software Mathematica for Windows version 8.0. Making the program requires data - input data relating to waiting times of earthquakes in the past to the present. By making this prediction program to predict the timing of the tectonic earthquake in Nias Island. If using a Weibull distribution of earthquake waiting time is approximately 524.65 days, using the Gumbel distribution is approximately 359.05 days, and by using the exponential distribution is sekittar 524.73 days. This time is calculated based on the recent earthquake in Nias Island and surrounding areas. So predictable subsequent tectonic earthquake in Nias island territory will occur on September 4, 2013 when predicted using the Weibull distribution with three parameters, dated April 5, 2013 if the forecast using the Gumbel distribution with two parameters and dated September 4, 2013 when predicted using the method of distribution exponential with a parameter.
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