Why Earthquakes Are So Hard To Predict

Why Earthquakes Are So Hard To Predict

Assessment

Interactive Video

Created by

Quizizz Content

Geography, Science, Biology

11th Grade - University

Hard

The video discusses the history of earthquakes in San Francisco and the challenges in predicting them accurately. It highlights current preparedness measures like seismic sensors and shake-proof buildings. The video explores the difficulties in finding reliable earthquake predictors and the efforts to model tectonic plates. It also discusses the role of ocean faults in improving prediction models and the need for breakthroughs to achieve precise predictions.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary reason San Francisco residents expect another major earthquake in the future?

There is a scientific prediction for an imminent quake.

The city experiences frequent minor tremors.

Earthquakes occur there every hundred years.

The city is located on a volcanic fault line.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is a two-day warning considered ideal for natural disaster evacuation?

It aligns with government evacuation protocols.

It minimizes the risk of false alarms.

It is the maximum time scientists can predict accurately.

It allows enough time for people to leave the area safely.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following has NOT been identified as a potential earthquake predictor?

Changes in magnetism

Big releases in radon gas

Weird animal behavior

Sudden weather changes

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant challenge in building accurate models of tectonic plate movements?

The plates move too quickly to track.

The plates are too thin to measure accurately.

The plates are located in inaccessible areas.

The plates are more than 15 miles thick.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do ocean faults assist researchers in earthquake prediction?

They are easier to access than land faults.

They occur more frequently, allowing regular calibration.

They are less likely to cause damage.

They provide a simple model to study.

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