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TY - THES
AB - The M8 algorithm uses seven time series to issue intermediate term earthquake
predictions, stipulating which areas have an increased probability of a strong
earthquake in the next five years. The series measure the frequency of earthquakes,
change in frequency, energy release, and numbers of aftershocks. If six out of seven
series (including series 7) cross the thresholds specified a 'Time of Increased
Probability' is declared. This thesis takes the series as given and examines the role of
each series. It also explores using alternative ways of summarising the predictive
information in the series, using linear combinations of them rather than considering
the number of series which cross certain thresholds.
It was found that the maxima of the series, rather than linear combinations of them,
are related to future earthquakes. It was also found that the series have no predictive
power unless they are all considered. Both of these findings are consistent with M8s
own treatment of its series. The models using the M8 series that were constructed
here can not be generalised to data they were not constructed with, so they cannot be
used as a prediction tool. However, because of the scarcity of large earthquakes,
earthquakes targeted for prediction have magnitudes less than the magnitudes that M8
is intended to predict. When data is available with enough target magnitudes that the
algorithm is designed to predict the algorithm may yet be proven to be a successful
tool for intermediate term earthquake prediction.
N2 - The M8 algorithm uses seven time series to issue intermediate term earthquake
predictions, stipulating which areas have an increased probability of a strong
earthquake in the next five years. The series measure the frequency of earthquakes,
change in frequency, energy release, and numbers of aftershocks. If six out of seven
series (including series 7) cross the thresholds specified a 'Time of Increased
Probability' is declared. This thesis takes the series as given and examines the role of
each series. It also explores using alternative ways of summarising the predictive
information in the series, using linear combinations of them rather than considering
the number of series which cross certain thresholds.
It was found that the maxima of the series, rather than linear combinations of them,
are related to future earthquakes. It was also found that the series have no predictive
power unless they are all considered. Both of these findings are consistent with M8s
own treatment of its series. The models using the M8 series that were constructed
here can not be generalised to data they were not constructed with, so they cannot be
used as a prediction tool. However, because of the scarcity of large earthquakes,
earthquakes targeted for prediction have magnitudes less than the magnitudes that M8
is intended to predict. When data is available with enough target magnitudes that the
algorithm is designed to predict the algorithm may yet be proven to be a successful
tool for intermediate term earthquake prediction.
M3 - Masters
PY - 1999
KW - Earthquake prediction
KW - Mathematical models
KW - Algorithms
KW - New Zealand earthquakes
PB - Massey University
AU - Vreede, Maaike Jane
TI - Predicting New Zealand earthquakes using the "M8" algorithm : a thesis presented in partial fulfilment of the requirements for the degree of Master of Applied Statistics at Massey University
LA - en
VL - Master of Applied Statistics (M. Appl. Stat.)
DA - 1999
UR - http://hdl.handle.net/10179/5952
ER -