ABSTRACT
A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area. Such data are essential for updating seismic hazard maps and consequently building codes and earthquake-resistant design. This paper aims to present the Italian Strong Motion Network (RAN), describing its current status, employment, and further developments. It has 648 stations and is the result of a fruitful co-operation between the Italian government, regions, and local authorities. In fact, the network can be divided into three sub-networks: the Friuli Venezia Giulia Accelerometric Network, the Irpinia Seismic Network, and all the other stations. The Antelope software automatically collects, processes, and archives data in the data acquisition centre in Rome (Italy). The efficiency of the network on a daily basis is today more than 97%. The automatic and fast procedures that run in Antelope for the real-time strong motion data analysis are continuously improved at the University of Trieste: a large set of strong motion parameters and correspondent Ground Motion Prediction Equations allow ground shaking intensity maps to be provided for moderate to strong earthquakes occurring within the Italian territory. These maps and strong motion parameters are included in automatic reports generated for civil protection purposes.
Subject(s)
Earthquakes , Italy , Motion , SoftwareABSTRACT
Severe dog bites can result in substantial morbidity and potentially fatal injury. We present a case of an infant attacked by a Staffordshire bull terrier with resultant soft tissue injury, evisceration, and bowel injury. Rapid assessment in the emergency department included evaluation for both blunt and penetrating injuries. After initial survey and resuscitation, the patient was transported to the operating room where he underwent an exploratory laparotomy, small bowel repair, and abdominal wall closure.
