About Our client

The Italian Department of Civil Protection (DPC) is a structure of the Italian’s President of Council and is located in Rome. It is charged with directing the country’s response to natural disasters and catastrophes. The five offices of DPC include enacting initiatives towards mitigating seismic or volcanic risk and sustaining resilient emergency management programs.

Project Objective

Provide, operate, and maintain a national strong motion network.

The same Aspen technology implemented in the USArray/TA project delivered 99.8% data return over ~1,800 installations in more than ten years of operation.

After ten years of successful operation in the continental USA, the current USArray/TA phase comprises of 280 stations operating in Alaska, in a harsh environment like never before, where will stay operational until 2021 when removal will begin. By the end of this U.S. National Science Foundation USArray/TA sponsored project, a large number of Aspen stations will be transferred to the Alaska Regional network, operated by the University of Alaska, Fairbanks.

Project Achievement

Since October 2012, we operate and maintain the RAN. The data center operation uses BRTT’s Antelope software for data acquisition and processing. In addition, we support DPC’s outreach program by installing temporary stations at schools.

Project Insights

Seismic Data Availability

Outsourced operation and maintenance of the National Accelerograph Network (RAN) which improved overall station availability to over 98%, up from ~50%.

Seismic Data Reliability

Increased DPC’s confidence in the data of the network; since the increased seismic activity with frequent strong earthquakes in August 2016, the custom web interface is part of the permanent display in the command center of DPC.

Strong-Motion Network

The RAN is given ever more importance, reflected by the adding stations and substituting triggered recording with real-time data streaming.

Seismic Network Scalability

Kinemetrics’ Aspen System acquires and processes data from more than 500 stations in a virtualized environment running on two enterprise-class servers with shared storage.


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