Inglis Formula:
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The Inglis Formula is an empirical equation used to estimate the peak rate of runoff for fan-shaped catchments, particularly applicable to the Old Bombay region of India. It provides a simplified approach to calculate maximum discharge rates during storm events.
The calculator uses the Inglis Formula:
Where:
Explanation: The formula uses a square root relationship between catchment area and peak runoff rate, with a constant factor of 123 derived from empirical data for specific regional conditions.
Details: Accurate estimation of peak runoff rates is crucial for designing drainage systems, flood control structures, and urban infrastructure planning, particularly in regions prone to heavy rainfall and flooding.
Tips: Enter the catchment area in square kilometers. The value must be positive and greater than zero. The calculator will compute the peak rate of runoff using the Inglis Formula.
Q1: What types of catchments is the Inglis Formula applicable to?
A: The Inglis Formula is specifically designed for fan-shaped catchments and was developed based on data from the Old Bombay region of India.
Q2: How accurate is the Inglis Formula compared to other methods?
A: The accuracy varies by region and catchment characteristics. It provides reasonable estimates for the specific conditions it was developed for but may need adjustment for other geographical areas.
Q3: What are the limitations of the Inglis Formula?
A: The formula doesn't account for factors like rainfall intensity, soil type, slope, or land use patterns, which can significantly affect runoff rates in different catchments.
Q4: Can this formula be used for large catchment areas?
A: The formula is generally applicable to the range of catchment sizes it was originally developed for. Extreme sizes may produce less reliable results.
Q5: How does this formula compare to modern hydrological models?
A: While modern models incorporate more variables and provide more comprehensive analysis, the Inglis Formula remains useful for quick estimates and preliminary calculations in appropriate contexts.