Tectonic EQ2
- Created by: Yespacito
- Created on: 08-01-20 21:52
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- Tectonics EQ2
- From Hazard to Disaster
- Models explaining risk and vulnerability
- Risk Equation
- Risk = (Hazard x Vulnerability x exposure)/ coping ability
- Increased risk if: hazard is stronger, more vulnerable, more people exposed, less able to cope.
- Attempt to capture link between vulnerability, hazards, and why disasters occur
- Risk = (Hazard x Vulnerability x exposure)/ coping ability
- Pressure and release model: links vulnerability, hazards and disaster.
- Vulnerability has a progression: root causes, dynamic pressures, unsafe conditions
- Root causes include access to power, infrastructure, political system.
- Unsafe conditions can mean crime, fragile economy, fragile environment.
- Disaster = hazard + vulnerability
- If vulnerable and a hazard occurs (eg. earthquake) then can cause disaster.
- Disaster = hazard + vulnerability
- Attempt to capture link between vulnerability, hazards, and why disasters occur
- Vulnerability has a progression: root causes, dynamic pressures, unsafe conditions
- Degg's model
- If a hazard occurs while a population is vulnerable and susceptible to loss, can cause disaster.
- Swiss Cheese model: Each layer represents a factor in vulnerability, and holes are problems for a particular layer. Some layers have more holes, and it varies country to country. If holes line up in a single trajectory, hazard leads to disaster.
- Risk Equation
- Reasons people live in vulnerable areas/are vulnerable
- Predictability
- Volcanoes more predictable than earthquakes so evacuation can occur earlier
- Alternative areas
- May be too poor to live elsewhere eg. in Haiti most in Port au Prince very poor so couldn't leave.
- Cost - benefit: some areas worth risk eg. Japan has good enough opportunities to be worth tectonic risks
- Resilience is helped by:
- Evacuation systems
- Hazard resistant design eg. cross-bracing or counterweight
- Land use policy eg. no nuclear power in Japan post 2011 due to earthquakes
- Predictability
- Models explaining risk and vulnerability
- Governance and risk
- How development affects vulnerability
- Social
- Better health reduces disease risk.
- Education means more trained in evacuation procedures
- Better housing means kless likely to collapse and kill like it did in Haiti 2010.
- Economic
- Better wealth means better tech so warning systems improve eg. Japan send text to all phones 7 seconds after first P wave in 2011, compared to little warning in Haiti.
- Politics
- If more rights given, people more likely to trust gov and follow evacuation orders.
- Environment
- Better sanitation leads to less likely waterborne disease breakout eg. poor sanitation in Haiti 2010 led to 8000 cholera related deaths
- Social
- Link between development and disasters.
- How development affects disasters
- Better food and water access leads to resilience
- Tech reduces impacts because of warnings
- Amount of provisions post-disaster
- Better healthcare
- Poor conditions mean death more likely
- Development often breeds inequality (link to risk-poverty nexus)
- How disasters affect development
- Creates environment advocating risk reduction
- Can build back better
- Destroys assets so money lost
- Damage to businesses reduces income
- If many young people die, workforce decreases so economic activity decreases so it's harder to recover
- Damaging health reduces labour force
- If many young people die, workforce decreases so economic activity decreases so it's harder to recover
- Risk poverty nexus
- Disaster creates loss
- Loss leads to poverty in the short and long term
- Different types of poverty occur eg. economic, social.
- Poverty leads to daily risks like food insecurity and crime
- These feed into long term risks that increase hazard exposure
- Disaster creates loss
- Loss leads to poverty in the short and long term
- Different types of poverty occur eg. economic, social.
- Poverty leads to daily risks like food insecurity and crime
- These feed into long term risks that increase hazard exposure
- These feed into long term risks that increase hazard exposure
- Poverty leads to daily risks like food insecurity and crime
- Different types of poverty occur eg. economic, social.
- Loss leads to poverty in the short and long term
- Disaster creates loss
- These feed into long term risks that increase hazard exposure
- Poverty leads to daily risks like food insecurity and crime
- Different types of poverty occur eg. economic, social.
- Loss leads to poverty in the short and long term
- Model explains how inequality and poverty can lead to risk and how disasters can feed into more risk if handled poorly
- Disaster creates loss
- How development affects disasters
- Types of governance and role of governments
- Economic governance: decisions about economic activity eg. where to spend money. If spent on hazard resistance, reduces chance of a disaster
- Political governance: deciding what policies should be implemented to reduce hazard reduction eg. whether to make it required to carry out drills
- Administrative governance: how to enforce policies eg. how building codes should be enforced
- How development affects vulnerability
- Link between risk and hazards
- Measuring Hazard scale
- Richter scale: from 0-9, measures wave size. 1 unit increase means 10x wave size (logarithmic)
- Absolute + objective value. Measured from location it hits so measures how it felt at area.
- Doesn't allow simple comparison between countries' experience because wealth, evacuation etc. ignored
- Mercalli scale: Measures earthquake from how it felt. From 1-12/I to XII. Higher means more shaking. Considers if it woke people, furniture movement, and structure damage.
- Allows direct comparison of experience of the earthquake so comparison is easier.
- Subjective because based on experienced damage so unscientific.
- Moment magnitude scale (MMS): logarithmic scale showing energy of waves rather than wave size. Is most used measurement modern day.
- Ignores wave dissipation so helpful for seismologists to compare tectonic movements.
- Ignoring wave dissipation means that it is inaccurate to how it was felt at that location
- Volcanic explosivity index (VEI): measures volume of ejecta from eruption (tephra, volcanic gases etc.). Measured 0-8 logarithmically
- Objective because based on volume of ejecta.
- Ejecta can't be measured directly so brings accuracy of measurement into question.
- Richter scale: from 0-9, measures wave size. 1 unit increase means 10x wave size (logarithmic)
- Hazard profiles
- Used to understand physical features of a tectonic event.
- Considerations
- Magnitude
- Higher magnitude means more shaking so more structures lost.
- Speed of waves
- Faster speed means less time between P waves and S/L waves so less time to escape more destructive waves
- Duration
- Longer duration means more time for damage to happen
- Areal extent
- Wider reach means more affected
- Predictability
- Less predictable means higher impact due to less time to evacuate
- Frequency
- Less frequent means more time for plate boundary pressure to build. Also reduces collective memory so less knowledge on what to do, especially in LICs
- Magnitude
- Evaluation
- Help identify hazards to target in managing
- Allow comparison of physical processes to see how they affected the hazard's impact.
- Difficult to compare across hazards eg. volcano with earthquake
- Measuring Hazard scale
- From Hazard to Disaster
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