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Ratio Of Vegetal Surface Area To Its Projected Area Given Interception Loss Calculator

Formula Used:

\[ K_i = \frac{I_i - S_i}{E_r \times t} \]

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1. What is the Ratio of Vegetal Surface Area to Projected Area?

The Ratio of Vegetal Surface Area to Projected Area is the factor contributing to rainfall and levels off to a constant value for specified storms. It represents the relationship between the actual surface area of vegetation and its projected ground area.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ K_i = \frac{I_i - S_i}{E_r \times t} \]

Where:

Explanation: The formula calculates the ratio by subtracting interception storage from interception loss, then dividing by the product of evaporation rate and rainfall duration.

3. Importance of Vegetal Surface Area Ratio

Details: This ratio is crucial for understanding how vegetation affects rainfall interception and evaporation processes. It helps in hydrological modeling and predicting water balance in vegetated areas.

4. Using the Calculator

Tips: Enter interception loss and interception storage in mm, evaporation rate in mm/h, and duration of rainfall in hours. All values must be valid (positive values, with evaporation rate and duration greater than 0).

5. Frequently Asked Questions (FAQ)

Q1: What is interception loss?
A: Interception loss is the portion of precipitation that is returned to the atmosphere through evaporation from plant surfaces or is absorbed by the plant.

Q2: What is interception storage?
A: Interception storage is the ability of vegetation surfaces to collect and retain precipitation.

Q3: How is evaporation rate measured?
A: Evaporation rate is typically measured using evaporation pans or calculated from meteorological data using empirical formulas.

Q4: What factors affect this ratio?
A: Vegetation type, density, leaf area index, and storm characteristics all influence the ratio of vegetal surface area to projected area.

Q5: How is this ratio used in practice?
A: This ratio is used in hydrological models to predict interception losses and better understand the water balance in forested and vegetated watersheds.

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