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Reflections from the interface between seismological research and disaster risk reduction
Dr Susanne Sargeant, British Geological Survey
Monday 10th February 2014, 1 – 2 pm
W010, Geography, Durham University
The Port Hills rockfall problem
The Port Hills area on the edge of Christchurch was very seriously affected by the Christchurch earthquake sequence. The Canterbury Earthquake Recovery Authority will today start the process of demolishing the rockfall affected houses in the Port Hills area. Yesterday they released a statement describing the challenges of this work; this statement is well-covered in an article in The Press, which also includes a nice video taken by a drone of some of the sites. A couple of years ago I visited many of these sites, and I have an old post that presents some of the images that I collected. As a reminder, this is typical of the state of some of the buildings at the top of the slopes on the Port Hills:
Governance struggles and policy processes: A comparison of earthquake risk
reduction in Nepal and Bihar, India
9 December, Monday 1pm-2pm
Institute of Hazard, Risk and Resilience, Durham University
In this presentation we share some preliminary findings on the national level governance landscape of earthquake risk reduction in Nepal and Bihar State in India. Located along the Himalayan Arc, Nepal and Bihar are both highly susceptible to earthquake hazard and were both affected by the 1934 earthquake. Despite the shared earthquake hazard, and some similarities in terms of ethnic and caste based inequalities and conflict, they have very different political and economic histories. Nepal is emerging from a recent conflict and receives relatively high levels of development aid while Bihar has a strong state system and is now making rapid economic progress after decades of stalled development due to weak governance. They therefore make for an interesting comparison in earthquake risk governance. In-depth interviews with over 40 stakeholders were conducted and focus groups were held to map out stakeholder relationships, interests and challenges of earthquake risk governance. Read the rest of this entry »
Durham postgraduate researcher Hanna Ruszczyk has been awarded a PhD fellowship for her research on community resilience and earthquakes.
Hanna’s postgraduate award has been made possible thanks to a generous gift from a Durham alumnus. Hanna’s research, will investigate the role of resilience in disaster risk reduction. She will study how resilience strategies can be operationalised within urban communities vulnerable to seismic hazards in Nepal and Bihar, India. Her PhD programme is based in the Department of Geography, linked to IHRR and is supervised by Dr Katie Oven and Dr Colin MacFarlane.
For her PhD, Ruszczyk is making a comparative analysis between Nepal and Bihar, which will investigate how to build individual and community level capacity for resilience. Both have their own particular strengths and weaknesses when it comes to adapting and building resilience to natural hazards. ‘I’m looking at how they can learn from each other’, said Ruszczyk. ‘There is a clear social element of resilience, but what are the most important components of resilience to be aware of?’, she asks. Read the rest of this entry »
Dr Giulio Selvaggi is former Director of the National Institute of Geophysics and Volcanology (INGV). He gave the first IHRR seminar of the term on the L’Aquila earthquake and its aftermath. He is one of six scientists in Italy found guilty of manslaughter for downplaying the risk of earthquakes in the region. They are appealing the verdict. The aftermath of the L’Aquila earthquake is possibly one of the most politicised and publicised affairs of recent times involving scientists.
The L’Aquila earthquake led to the deaths of 309 people. The 2009 earthquake in L’Aquila not only revealed the unpreparedness of the city in dealing with the 6.3 magnitude earthquake, but the vulnerability of the buildings that collapsed. The fact that the earthquake took place is nothing unusual. It’s well known that L’Aquila is in a region of Italy with high risk of earthquakes. Unfortunately, the message conveyed to the general public of L’Aquila by government misinformed them about the actual risk of an earthquake occurring.
Selvaggi explained how one week prior to the earthquake he attended a meeting between The High Risk Commission (HRC) and National Service of Civil Protection (NCP) of Italy. The High Risk Commission is assigned with forecasting and mitigating large-scale risks, which includes serving as an interface between the scientific community and government. The NCP are responsible for taking action to protect the public from potential risks. The advice, however, given by scientists to the High Risk Commission, does not seem to match the message the NCP disseminated to the public. Read the rest of this entry »
4th October 2013, 14:00 to 15:00, Seminar Room 010, Dept of Geography, Dr Md. Nadiruzzaman, United Nations University (MRF-UNU) Project
Population movements following an environmental stress can be a huge development challenge if we do not know where people are going and at what number. Without knowledge of the locations of affected people, relief assistance is compromised. No rapid and accurate method exists to track population movements after disasters. This research learns lessons from Haiti and plans to use CDR (call data record) from the Grameen Phone, the largest cellphone operator in Bangladesh, to estimate the magnitude and trends of population movements following the Cyclone Mohasen, which swept across Bangladesh on the 20th May 2013.
Geographic positions of SIM cards were determined by the location of the mobile phone tower through which each SIM card connects when calling. We will follow daily positions of SIM cards for Barisal and Chittagang Division from 01 April to 30 June of 2013. To exclude inactivated SIM cards, we will include SIM cards that made at least one call during the time of our study. Results from the Haiti study suggest that estimates of population movements during disasters and outbreaks can be delivered rapidly and with potentially high validity in areas with high mobile phone use. This research would offer new ways to understand population movements and climate change threshold.
The M=6.6 earthquake in Gansu province this week killed about 100 people in a poor area of China. Gansu is earthquake-triggered landslide country – the great M=8.5 earthquake of 1920 killed between 70,000 and 200,000 people, many of them in huge seismically triggered flowslides that buried whole towns. So, even though the event this week was by comparison a small earthquake, it is unsurprising to find that landslides have been a significant issue. News from the earthquake-affected area is scarce, but the Big Picture, the photo section of Boston.com, has a wonderful gallery of images from the area. The best of these shows two spectacular flowslide failures:
Other images show the aftermath of the landslides; this one for example has blocked a road: Read the rest of this entry »
Rob Parker (University of Cardiff) and Dave Petley
The Mw = 7.8 earthquake on Tuesday in Iran was the largest event in that country for about 50 years. Fortunately, the depth of the earthquake (82 km) and the low population density in the affected areas meant that loss of life was low for an event of this size. Indeed, reports suggest that only one person died in Iran, although there are reports of 40 deaths in Pakistan. This single fatality in Iran was the result of a landslide, and one of the images on the BBC reports about the earthquake also seems to show landslides:
Over the last three years or so, we have been working with our colleagues Alex Densmore and Nick Rosser, funded by the Willis Research Network, to develop a model that will allow us to make an initial assessment of landslide impacts in earthquakes. Rob recently submitted his PhD, and has now moved to a post-doctoral position at Cardiff. However, we thought that this event would be an interesting first application of the model, which has been produced through a statistical (logistic regression) analysis of spatial patterns of landslides (with areas larger than 11,000 square metres) triggered by four large earthquakes in the USA, New Zealand, Taiwan and China. The model provides a first-order prediction of the probability of hillslope failure across the region affected by seismic shaking, based on the strength of ground motions and the gradient of hillslopes. Areas likely to have experienced high levels of landslide activity are shown in red, and while areas we expect to be less affected by landslides are shown in green and then blue. Here, landslide probability has been estimated using preliminary ground motion data published by the USGS and hillslope gradients derived from the ASTER global elevation model. Read more