Nomogram to help explain probabilistic seismic hazard
Douglas, John and Danciu, Laurentiu (2020) Nomogram to help explain probabilistic seismic hazard. Journal of Seismology, 24 (1). 221–228. ISSN 1573-157X (https://doi.org/10.1007/s10950-019-09885-4)
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Abstract
Nomograms are an easy-to-use and visually-attractive graphical tool to solve for any of the variables within an often complex equation. In seismology the most well-known nomogram is a three-parallel-scale graphic for the calculation of local magnitude given the epicentral distance and trace amplitude. Until the advent of computers, nomograms were often employed by engineers and scientists in many fields as they provide a means for rapid and accurate calculations as well as helping the user understand the sensitivity of the final results to the input parameters. It is this aid to understanding that remains a key attraction of these graphical tools, which are now rarely seen (although they remain common in some fields of medicine where they are used for rapid screening and estimating risks). In this Research Letter we present a nomogram summarising the results of simple probabilistic seismic hazard assessments (PSHAs) for peak ground acceleration and elastic response spectral acceleration for a structural period of 1s and return periods from 100 to 2500 years, where the effects of the activity rate and the slope of the Gutenberg-Richter relation are captured. We believe that this nomogram has considerable educational benefit for engineering seismology students, decision makers and other non-expert users of results of PSHAs.
ORCID iDs
Douglas, John ORCID: https://orcid.org/0000-0003-3822-0060 and Danciu, Laurentiu;-
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Item type: Article ID code: 70110 Dates: DateEvent29 February 2020Published8 November 2019Published Online3 October 2019AcceptedSubjects: Geography. Anthropology. Recreation Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 15 Oct 2019 09:25 Last modified: 11 Oct 2024 00:29 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70110