Information Technology Reference
In-Depth Information
probabilistic hazard models (Frisk88m 2014). There also exists a set of tools and
utilities developed and maintained by the academic community, most of which are
listed by the ORFEUS foundation (Orfeus 2014).
However, applying most of the statistical methods mentioned above on massive
seismicity data sometimes requires extensive computational resources due to the
complexity of the model. Unfortunately, none of the above software provides a
complete solution that takes advantage of high-capacity computing environments
for statistical seismology-related research and studies. To remedy this de
ciency, a
science gateway that is becoming authoritative, up-to-date, and prominent is pre-
sented in this chapter. This gateway offers a choice of different service levels for its
users such that users can run and get the results of any of the statistical seismology
functions for their data and parameters easily through the provided GUI. The most
distinctive aspect of this gateway is that all these services are made usable directly
on the web, bene
tting from the high computational capacities of the European
distributed computing infrastructures (DCI) in such a way that users are not
required to download, install, compile, or run anything on their local computers.
12.2 Building a Science Gateway for Statistical Seismology
In order to provide statistical seismology models to a wider community of
researchers, a web-based application (Sener 2009) was built for the South-Eastern
European seismologists within the frame of the EU FP7 SEE-GRID-SCI project. It
holds a set of basic models to produce seismic assessment maps of the region with
related uncertainties at appropriate scales. Such an application needs grid infra-
structure, not only to access the regional earthquake catalogue data uploaded, but
also to execute those models requiring high amounts of resources depending on the
model, parameters, and area of the site selected. This seismic analysis application
was developed on the P-GRADE Portal technology (Farkas 2011), and then ported
onto the Seismology Portal together with the two other seismology applications
from the same project. It was tested and used successfully by the seismology
researchers in the Balkan region, demonstrating that science gateways are a step in
the right direction for the statistical seismology area.
Based on the experiences gained, the Statistical Seismology Science Gateway
(SSS-Gateway) was constructed as an improved version of the Seismology Portal,
aiming to provide a much richer set of tools and models, or simply the statistical
seismology functions (SSF). These functions include multisource catalog data
integration, determination of probability distribution functions, parameter estima-
tion, ground motion prediction equations, seismic hazard analysis, and risk
assessment as well as logic-tree and sensitivity analysis on models and their
parameters. These functions were implemented in the form of workflows and serve
a wider seismology community with a choice of three service levels:
Search WWH ::
Custom Search