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Inflow at Beginning of Time Interval for Routing of Time-Area Histogram Calculator

Formula Used:

\[ I_1 = \frac{Q_2 - (C_2 \times Q_1)}{2 \times C_1} \]

m³/s
m³/s
m³/s

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1. What is Inflow at Beginning of Time Interval?

Inflow at the Beginning of Time Interval is the amount of water entering a hydrological system at the start of a specified time period. It is a crucial parameter in hydrological routing methods for predicting flood waves and water flow through river channels.

2. How Does the Calculator Work?

The calculator uses the Muskingum routing formula:

\[ I_1 = \frac{Q_2 - (C_2 \times Q_1)}{2 \times C_1} \]

Where:

Explanation: This formula calculates the inflow at the start of a time interval based on outflow values and Muskingum routing coefficients, which account for the storage characteristics of the river reach.

3. Importance of Muskingum Method

Details: The Muskingum method is widely used in hydrological engineering for flood routing and flow prediction. Accurate inflow calculation helps in reservoir operation, flood forecasting, and water resource management.

4. Using the Calculator

Tips: Enter outflow values in m³/s and Muskingum coefficients C₁ and C₂. All values must be valid (outflows ≥ 0, coefficients ≥ 0, C₁ > 0).

5. Frequently Asked Questions (FAQ)

Q1: What are typical values for Muskingum coefficients?
A: C₁ typically ranges from 0.2-0.4, C₂ from 0.3-0.5, though these vary based on river characteristics.

Q2: How is this different from other routing methods?
A: The Muskingum method is a lumped parameter approach that accounts for both prism and wedge storage in river routing.

Q3: What time intervals are typically used?
A: Time intervals usually range from 1-24 hours, depending on the size of the watershed and flood wave characteristics.

Q4: Are there limitations to this method?
A: The method assumes linear storage-discharge relationships and may not accurately represent highly nonlinear systems.

Q5: How are Muskingum coefficients determined?
A: Coefficients are typically calibrated using observed inflow-outflow data from historical flood events.

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