Difficulty: Easy
Correct Answer: Percentage of total surface runoff during uniform time intervals on the Y-axis
Explanation:
Introduction / Context:Bernard’s distribution graph is a dimensionless way of representing how total surface runoff is distributed through time during a storm. It is useful for estimating peak discharge blocks.
Given Data / Assumptions:
Concept / Approach:Unlike a cumulative mass curve, Bernard’s distribution graph presents the percentage per interval (non-cumulative) so designers can identify the fraction that occurs in the peak block (e.g., “10-minute peak percentage”).
Step-by-Step Solution:
Place time on the X-axis with uniform bins.For each bin, plot % of the total event runoff contributed in that bin on the Y-axis.Use the identified peak percentage with the total runoff volume to compute a peak block discharge.Verification / Alternative check:This interpretation is consistent with how “10-minute peak percentage” is used to derive peak-rate estimates from total volume.
Why Other Options Are Wrong:
Common Pitfalls:Confusing Bernard’s interval distribution with cumulative mass curves; ensure you use the correct graph for peak-rate calculations.
Final Answer:Percentage of total surface runoff during uniform time intervals on the Y-axis
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