03. Reading Sri Lanka's climate hazard data

Lecture quiz

Quiz - Reading Sri Lanka's climate hazard data

Climate Vulnerability Assessment. Unlimited attempts, no timer, and one pass mark for the whole platform - applied the same way to the 3 written questions below the multiple choice.

4 questionsPass mark 70%No results recorded+ 3 written questions

Questions

4

70% to pass

Attempts

-

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Pass rate

-

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Average score

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Questions

The correct answer and its explanation are shown together here so you can check them at a glance - neither is ever shown to a learner attempting the quiz, right or wrong.

  1. 1. What is the purpose of a field verification visit?

    • To collect data for the first time
    • To check a desk-based assessment against realityCorrect
    • To replace the vulnerability index entirely
    • To satisfy a funder's reporting requirement

    A desk-based index is a hypothesis about a place. A short, structured field visit is what turns that hypothesis into an assessment somebody can act on.

  2. 2. Risk is usually described as the combination of three things. Which set is it?

    • Hazard, exposure and vulnerabilityCorrect
    • Temperature, rainfall and sea level
    • Probability, cost and time
    • Mitigation, adaptation and finance

    A hazard on its own creates no risk. Risk appears when something is exposed to it and is unable to absorb the effect.

  3. 3. What does exposure measure that vulnerability does not?

    • How much damage an event causes
    • Where something sits relative to a hazardCorrect
    • How quickly a community recovers
    • The cost of an adaptation measure

    Exposure is a location question - what sits in the hazard's path - independent of how well that thing can absorb the impact, which is what vulnerability measures.

  4. 4. Why is a composite vulnerability index dangerous to use alone?

    • It is usually out of date
    • It cannot be compared between districts
    • It compresses different conditions into one numberCorrect
    • It excludes economic factors

    Two districts can score identically for opposite reasons. Use the index to decide where to look and the underlying indicators to decide what to do.

Written questions

Optional - a lecture is complete without any. Add two-to-three sentence explanation questions where the multiple-choice quiz cannot tell whether an idea actually landed - as soon as one exists, a learner must pass it at 70%, the same platform-wide mark as the quiz, before the next lecture opens.

  1. 1. In two or three sentences: why does a national hazard dataset need care when used at divisional scale?

    resolutionscalecomparprecision

    2 of 4 have to appear to pass.

    Model answer: A national map is built to compare provinces at a coarse resolution, not to site a specific culvert. Using it at divisional or finer scale borrows a precision the data never had.

  2. 2. In two or three sentences: what is the purpose of a field verification visit, if the dataset has already been read?

    checkrealitydeskhypothesis

    2 of 4 have to appear to pass.

    Model answer: A desk-based reading of the dataset is a hypothesis about a place, not a confirmed fact. A short, structured field visit checks that hypothesis against reality before anyone acts on it.

  3. 3. In two or three sentences: what should you do when a hazard layer disagrees with what local knowledge says about a specific site?

    localverifyresolutiontrust

    2 of 4 have to appear to pass.

    Model answer: Treat the disagreement as a resolution problem before assuming either source is wrong, and verify on the ground where practical. Local knowledge often reflects site detail a coarse national layer was never built to capture.