Relative Humidity Formula:
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Relative humidity (RH) is the ratio of the current amount of water vapor in the air to the maximum amount that the air could hold at that temperature, expressed as a percentage. It indicates how close the air is to being saturated with moisture.
The calculator uses the relative humidity formula:
Where:
Explanation: The formula calculates the percentage of moisture in the air relative to the maximum amount the air can hold at that specific temperature.
Details: Relative humidity is crucial for weather forecasting, climate studies, indoor comfort assessment, industrial processes, and agricultural applications. It affects human comfort, material preservation, and various biological processes.
Tips: Enter actual vapor pressure and saturation vapor pressure in hectopascals (hPa). Both values must be positive numbers. The calculator will compute the relative humidity percentage.
Q1: What is the typical range for relative humidity?
A: Relative humidity typically ranges from 0% (completely dry air) to 100% (saturated air, often resulting in fog or precipitation).
Q2: What is considered comfortable relative humidity for humans?
A: For most people, a relative humidity between 30% and 60% is considered comfortable. Below 30% can cause dry skin and respiratory irritation, while above 60% can feel muggy and promote mold growth.
Q3: How does temperature affect relative humidity?
A: Warmer air can hold more moisture, so relative humidity decreases as temperature increases (if moisture content remains constant), and increases as temperature decreases.
Q4: What instruments measure relative humidity?
A: Hygrometers and psychrometers are commonly used to measure relative humidity. Modern digital hygrometers provide direct readings, while psychrometers require calculations using dry-bulb and wet-bulb temperatures.
Q5: Why is relative humidity important in different industries?
A: Relative humidity is critical in HVAC systems, museums (for artifact preservation), pharmaceutical manufacturing, food processing, data centers, and agricultural operations where it affects product quality and process efficiency.