A post on the NZ Raw blog written by Mark Lincoln on 26 January 2013. Mark says, "A drive around Bexley just a few months ago. Nothing really changed here since the first quakes".
A blog post from Moya Sherriff about her fourth month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). This blog post was downloaded on 18 November 2014.
A blog post from Moya Sherriff about her third month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). This blog post was downloaded on 18 November 2014.
A blog post from Moya Sherriff about her second month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). This blog post was downloaded on 18 November 2014.
A blog post from Moya Sherriff about her first month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). This blog post was downloaded on 18 November 2014.
A blog post from Moya Sherriff about her sixth month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). In this post Sherriff interviews Jane Teal, the Archivist of the Anglican Diocese of Christchurch, about her experiences rescuing the archive after the earthquakes and moving in to the Recovery Centre. This blog post was downloaded on 18 November 2014.
A blog post from Moya Sherriff about her fifth month as Intern for the Canterbury Cultural Collections Recovery Centre (CCCRC). This blog was downloaded on 18 November 2014.
Having a quick but reliable insight into the likelihood of damage to bridges immediately after an earthquake is an important concern especially in the earthquake prone countries such as New Zealand for ensuring emergency transportation network operations. A set of primary indicators necessary to perform damage likelihood assessment are ground motion parameters such as peak ground acceleration (PGA) at each bridge site. Organizations, such as GNS in New Zealand, record these parameters using distributed arrays of sensors. The challenge is that those sensors are not installed at, or close to, bridge sites and so bridge site specific data are not readily available. This study proposes a method to predict ground motion parameters for each bridge site based on remote seismic array recordings. Because of the existing abundant source of data related to two recent strong earthquakes that occurred in 2010 and 2011 and their aftershocks, the city of Christchurch is considered to develop and examine the method. Artificial neural networks have been considered for this research. Accelerations recorded by the GeoNet seismic array were considered to develop a functional relationship enabling the prediction of PGAs. http://www.nzsee.org.nz/db/2013/Posters.htm