**5.2.2 Preliminary results**

Two preliminary tests over deterministic source parameter for a restricted area ("persut") and for whole Italy ("persut Italy"), and two different tests over random properties ("seed1Hz" and "seed10Hz") for the whole Italian territory, with different frequency content and different maximum distance for the computation of seismograms, were conducted. So the performance of the package over the grid in terms of computational time and number of successful jobs were tested, and submission of job and retrieval of its output were refined. The number of seismograms that must be computed determines the duration and the storage requirement of the run. This parameter seems critical for the success of the job. The test runs on the random component of the source gave an indication on the effective number of jobs that must be computed to have a good estimate of the distribution of the ground shaking peaks at each receiver.

Applications Exploiting e-Infrastructures Across

total time of computation of

average time of computation

each run decreases

related uncertainties.

**5.2.3 Future perspective** 

Europe and India Within the EU-IndiaGrid Project 305

type of submission direct to CE WMS WMS WMS total n. of job 216 526 600 315 % of successful job 26 65 80 100

successful job 948 h 1200 h 791 h 14 h

for one job 17 h 3.5 h 1.6 h 161 s

Table 1. Performance of the four test runs. From left to right number of seismograms for

The NDSHA methodology has been successfully applied to strategic buildings, lifelines and cultural heritage sites, and for the purpose of seismic micro zoning in several urban areas worldwide. Several international projects have been carried out and are still in progress based on the NDSHA methodology, including: the "MAR VASTO" project, with the participation of Italian (ENEA, Universities of Ferrara and Padua, ICTP) and Chilean (University Federico Santa Maria in Valparaiso, University of Chile in Santiago) partners; the UNESCO/IUGS/IGCP projects "Realistic Modelling of Seismic Input for Megacities and Large Urban Areas", "Seismic Hazard and Risk Assessment in North Africa" and "Seismic microzoning of Latin America cities"; the multilateral-oriented network project "Unified seismic hazard mapping for the territory of Romania, Bulgaria, Serbia and Republic of Macedonia", supported by the CEI (Central European Initiative). The very positive outcomes from seismological collaborative research call for an improvement of such interactions; this is attained by integration and formalization of the existing scientific and computing networks. The e-Infrastructures provide an innovative and unique approach to address this problem. They demonstrated to be an efficient way to share and access resources of different types, which can effectively enhance the capability to define realistic scenarios of seismic ground motion, i.e. to compute the reliable seismic input necessary for seismic risk mitigation. Such facilities, in fact, may enable scientists to compute a wide set of synthetic seismograms, dealing efficiently with variety and complexity of the potential earthquake sources, and the implementation of parametric studies to characterize the

A Cooperation Project, aimed at the definition of seismic and tsunami hazard scenarios by means of indo-european e-infrastructures in the Gujarat region (India), has been recently funded by the Friuli Venezia Giulia Region. This two-years project, starting in November 2011, involves three Italian partners (DiGeo, University of Trieste; ICTP SAND Group; CNR/IOM uos Democritos) and two Indian partners (ISR, Gujarat; CSIR C-MMACS, Bangalore). The project aims to set up a system for the seismic characterization, integrated with the e-infrastructures distributed amongst India and Europe, to allow for the optimization of the computation of the ground shaking and tsunami scenarios. This goal will be attained thanks to the strict connection with the European project EU-IndiaGrid2, which provides the necessary infrastructure. Thus, the project will permit developing an

**seed1Hz persut Italy seed10Hz persut** 

The first runs have provided a preliminary evaluation of the uncertainty of the hazard maps due to the random representation of the source and to the uncertainty on source parameter. Figure 3 shows an example of results of the test on the random component of the source model. The variability on the different random realizations of the source model (right) is shown in terms of ratio between standard deviation and average at each receiver.

Fig. 7. Maps of average of PGV (peak ground velocity) on different random realizations of source model (left) and variability of the PGV in terms of ratio between standard deviation and average of the maximum peaks at each receiver.


Table 1. Performance of the four test runs. From left to right number of seismograms for each run decreases
