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Chapter 12
Statistical Seismology Science Gateway
elebi Kocair, Cevat
Ş
ener and Ay
ş
en D. Akkaya
Ç
Abstract Seismic hazard assessment and risk analysis are critical for human life
since these
fields study and model expected earthquakes to produce seismic hazard
maps and to determine the risk of damage from potential earthquakes to buildings,
dams, etc. The Statistical Seismology Science Gateway, built on the gUSE
framework, holds a comprehensive set of tools and models covering seismic data
analysis, hazard assessment and risk analysis. It provides an environment in such a
way that skilled users can experiment their own approaches by simply accessing the
gateway services, while novice users can easily use existing applications. This
chapter focuses on the development of the workflows implementing these tools and
models as well as the portlets to access them. It also discusses how easily gUSE
framework was customised to build this science gateway and how it is operated.
12.1 Introduction
Statistical seismology is the application of different statistical methods and models
to seismology in order to better understand and predict the mechanism of earth-
quakes, as earthquakes are random phenomena involving a large degree of
uncertainty. It is an interdisciplinary
field of research and study involving earth
scientists, seismologists, engineers, and statisticians.
Statistical seismology involves several tasks to achieve its goals (Vere-Jones
2005). To start with, it is necessary to analyse seismicity data to improve the
scienti
c models for earthquake forecasts, in addition to seismic hazard assessment
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