Practice Missing or Doubtful Entries - 15.6.1.3 | 15. Rainfall Data in India | Hydrology & Water Resources Engineering - Vol 1
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15.6.1.3 - Missing or Doubtful Entries

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one common cause of missing data in rainfall measurements?

💡 Hint: Think about human errors in data recording.

Question 2

Easy

Name one method used to correct missing rainfall data.

💡 Hint: Consider techniques that fill gaps in data.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does Double Mass Curve Analysis help identify?

  • Errors in data
  • Total rainfall amount
  • Monthly averages

💡 Hint: Think about what you want to check in two datasets.

Question 2

True or False: Observer mistakes can cause missing entries in rainfall data.

  • True
  • False

💡 Hint: Recall the distinction between human errors and instrument errors.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

If you have a month of rainfall data with two days missing, how would you use interpolation to fill in those values?

💡 Hint: Think about averaging neighboring data points for estimation.

Question 2

Create a Double Mass Curve from two hypothetical datasets and identify discrepancies based on your analysis.

💡 Hint: How do two lines relate to each other in terms of cumulative values?

Challenge and get performance evaluation