where the runoff volume is 228.7 acre-ft. Time (hr) Rainfall (in/hr) 0-2 1.4 2-5 2.3 5-7 1.1 7-10 0.7 10-12 0.3

Structural Analysis
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Chapter2: Loads On Structures
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Hydrology Problem:

### Determining the Phi Index for a Watershed

This exercise involves using rainfall data to calculate the phi index for a watershed. The watershed in question is 0.875 square miles, and the specified runoff volume is 228.7 acre-ft.

#### Rainfall Data Table

The table below provides the hourly rainfall data:

| Time (hr) | Rainfall (in/hr) |
|-----------|------------------|
| 0-2       | 1.4              |
| 2-5       | 2.3              |
| 5-7       | 1.1              |
| 7-10      | 0.7              |
| 10-12     | 0.3              |

**Explanation:**  
The data shows the distribution of rainfall intensity over different time intervals. The measurements are recorded in inches per hour across five different time segments.

This data will be utilized to compute the phi index, which represents the average rate of infiltration for the watershed during the rainfall event. The phi index is a crucial parameter for hydrologists and water resource engineers in assessing and predicting watershed behavior during precipitation events.
Transcribed Image Text:### Determining the Phi Index for a Watershed This exercise involves using rainfall data to calculate the phi index for a watershed. The watershed in question is 0.875 square miles, and the specified runoff volume is 228.7 acre-ft. #### Rainfall Data Table The table below provides the hourly rainfall data: | Time (hr) | Rainfall (in/hr) | |-----------|------------------| | 0-2 | 1.4 | | 2-5 | 2.3 | | 5-7 | 1.1 | | 7-10 | 0.7 | | 10-12 | 0.3 | **Explanation:** The data shows the distribution of rainfall intensity over different time intervals. The measurements are recorded in inches per hour across five different time segments. This data will be utilized to compute the phi index, which represents the average rate of infiltration for the watershed during the rainfall event. The phi index is a crucial parameter for hydrologists and water resource engineers in assessing and predicting watershed behavior during precipitation events.
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