Theoretical Frameworks (Edexcel A Level Geography)
Revision Note
Written by: Bridgette Barrett
Reviewed by: Jenna Quinn
Prediction & Forecasting
The accuracy of prediction and forecasting of tectonic hazards depends on the type and location of the hazard
Scientists use prediction and forecasting to help with planning and preparation for hazards
Prediction is knowing when (temporal scale) and where (spatial scale) a hazard will occur
Forecasting gives a percentage chance of a hazard occurring over a set period of time
Earthquakes
It is not possible to predict earthquakes
An understanding of tectonic activity can help scientists identify areas most at risk
Over 90% of earthquakes occur on or near plate boundaries
Scientists are constantly researching to improve forecasting - research has focussed on:
Seismic gap theory - to highlight areas at high risk as they have not experienced an earthquake for some time
Radon emissions
Animal behaviour
No method has yet proved to be reliable
The United States Geological Survey have made forecasts about the chances of an earthquake in the Los Angeles area that 'within the next 30 years there is a 60% probability of a 6.7 magnitude earthquake'
Volcanic eruptions
There are signs warning of an eruption before most volcanic eruptions
Volcanologists (scientists who studied volcanoes) monitor changes using GPS, tilt meters, satellites, seismometers and gas detection
Signs of an eruption include:
Magma rising which can be detected by heat sensors and satellites
Changes in surface level as rising magma causes bulges
Increased emissions of sulphur dioxide and other gases
Increased seismic activity caused by magma movement detected by seismometers
Improved prediction of volcanic eruptions has led to a decrease in the death toll
Tsunami
For earthquake-induced tsunami scientists are unable to predict the earthquake itself
When the earthquake happens this will be detected by the global network of seismometers, these will locate the epicentre of the earthquake
Ocean monitoring technology can then be used to detect tsunami
Warnings can then be issued to coastal areas which may be affected
Improvements and advances in technology are constantly changing prediction and forecasting
Systems are regularly updated and reviewed particularly after a hazard event
In the Asian 2004 tsunami errors in the system increased the number of deaths
In Indonesia the sensor system had been struck by lightning so did not work
In India the warning went to the wrong official
The sensors in the region were limited
In the 2011 Japanese tsunami the height of the tsunami was underestimated so the warnings were not accurate
Hazard Management Cycle
The hazard management cycle is how the events of one hazard event inform planning and preparation for the next hazard event
The time taken for each stage will vary due to:
Level of development
Magnitude of the hazard
Quality of governance
Aid available
These factors will have most impact on the response and recovery stages
Advantages of the hazard management cycle
It can be used by organisations and individuals
The cycle enables them to both prepare for and respond to hazardous events
It identifies potential hazards
Reduces the risks and saves lives
Improves the level of preparation
Disadvantages of the hazard management cycle
It may not be possible for smaller or less wealthy communities/countries to implement the hazard management cycle
Some hazards are less predictable, which means hazard management cannot account for every eventuality
Implementation of strategies may face opposition from local communities
Communication of the strategies may not reach all communities
Park's Model
Park's model is also known as the disaster response curve
This shows the impact of a hazard event on people's quality of life over time
The curve demonstrates where different management strategies are implemented before, during and after the event
The curve will vary for each event and area depending on the level of:
Preparation and planning
Development
Aid both national and International
Developing countries tend to be impacted more and recover more slowly
This can be clearly seen on the disaster response curve
Advantages of Park's model
It can be applied to a range of hazards
The model can be used to assess risk and provide a framework for preparedness
The level of economic activity and social stability are shown, which makes it easy to compare differences based on the level of development
Useful to analyse the responses to a hazard event and the sequence of events
Disadvantages of Park's model
It only shows the impact of a single event
Quantitative data, such as the number of deaths and building destruction, is not shown
Preventative measures are not shown
The resources required may mean that smaller/less developed communities can not afford to implement it
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