1.17 - San Francisco pt 1 Flashcards
How is earthquake prediction conducted?
Data from previous earthquakes is fed into a computer model to predict conditions necessary to cause an earthquake.
What example of earthquake prediction is given in the slide?
Earthquake waves spreading along the Hayward Fault.
What does an earthquake model calculate?
The statistical likelihood of where, when, and how strong earthquakes might be in the future.
How can earthquake forecasting assist decision-makers?
It presents probabilities to help identify vulnerable groups and necessary actions.
What geographic tool is mentioned for earthquake forecasting?
Haiti GIS mapping.
Why is past earthquake data important for forecasting?
It helps in determining patterns and estimating future risks.
What is the goal of earthquake forecasting?
To determine the likelihood and strength of future earthquakes.
What actions can decision-makers take based on earthquake forecasts?
They can plan for evacuation, resource allocation, and infrastructure improvements.
What does the slide mention about plate boundaries and earthquake forecasting?
Forecasting considers areas where no earthquakes have occurred for years.
How does statistical likelihood help in earthquake preparedness?
It allows for risk assessment and emergency planning.
Why are communities along faults important for forecasting?
They are at higher risk and need targeted disaster preparedness plans.
What kind of decisions can be informed by earthquake forecasts?
Identifying vulnerable populations and implementing mitigation strategies.
What is one limitation of earthquake forecasting?
It can only provide probabilities, not precise predictions.
Why is it important to forecast earthquake locations?
To minimize damage and casualties by preparing in advance.
How does GIS mapping contribute to earthquake prediction?
It helps visualize risk areas and plan for potential impacts.
