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New magnitude scaling relations for earthquake early warning in the Alborz region, Iran

100%

Sasani M. , Ghayamghamian M. R. , Ansari A.

2018

tom Vol. 66, no. 6

1375--1382

Rapid magnitude estimation relations for earthquake early warning systems in the Alborz region have been developed based on the initial first seconds of the P-wave arrival. For this purpose, a total of 717 accelerograms recorded by the Building and Housing Research Center in the Alborz region with the magnitude (Mw) range of 4.8–6.5 in the period between 1995 and 2013 were employed. Average ground motion period ( c ) and peak displacement ( P d ) in different time windows from the P-wave arrival were calculated, and their relation with magnitude was examined. Four earthquakes that were excluded from the analysis process were used to validate the results, and the estimated magnitudes were found to be in good agreement with the observed ones. The results show that using the proposed relations for the Alborz region, earthquake magnitude could be estimated with acceptable accuracy even after 1 s of the P-wave arrival.

Effects of Synthesized Voice Warning Parameters on Perceived Urgency

84%

Park K. S. , Jang P. S.

tom Vol. 5, No. 1

73--95

The effects of synthesized voice warning parameters on perceived urgency were examined in order to build a detailed and usable description of the relation between the parameters of synthesized voice warnings and perceived urgency. Ten native and 10 non-native English speakers participated in 4 experiments to evaluate and quantify the effects of the voice parameters. The results showed that speech rate, average fundamental frequency (F0), voice type, and fundamental frequency contour have clear effects on the perceived urgency of synthesized voice warnings. The effects of quantitative parameters on perceived urgency were scaled using an application of Stevens's power law (1957). In addition, the results showed significant differences in the perceived urgency of average F0 and F0 contour types between native and non-native English speakers. Implications of the results for the design and improvement of synthesized voice warnings are discussed.