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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Name one cause for missing rainfall data.
💡 Hint: Think about failures.
Question 2
Easy
Why is estimating missing rainfall data important?
💡 Hint: Consider the impact on analysis.
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
Which method is appropriate for uniform rainfall?
- Arithmetic Mean Method
- Normal Ratio Method
- Inverse Distance Weighting
💡 Hint: Think about what method averages out data.
Question 2
True or False: Data consistency is not important for accurate estimations.
- True
- False
💡 Hint: Reflect on how consistent data supports good results.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given data from three stations: Station A (100mm), Station B (110mm), Station C (90mm), estimate the missing value for Station D using the Arithmetic Mean Method.
💡 Hint: Look for the average of provided data.
Question 2
Using the Normal Ratio Method, if Station X has a normal rainfall of 120mm, and your missing station, Station Y, has normals of 90mm and 100mm respectively from two near stations, find the estimated rainfall for Station Y.
💡 Hint: Think about how you can scale the estimated observation against another's normal.
Challenge and get performance evaluation