Wet Bulb Temperature Calculator
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#wetBulbResult {
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Wet Bulb Temperature Calculator
Understanding Wet Bulb Temperature
The wet bulb temperature (WBT) is a crucial meteorological and thermodynamic parameter that represents the lowest temperature to which air can be cooled by the evaporation of water into the air at a constant pressure. It's a measure that combines both temperature and humidity, providing a more accurate indication of how heat stress might feel to humans and how various natural processes will behave.
What is Wet Bulb Temperature?
Imagine a thermometer whose bulb is covered with a wet cloth. As water evaporates from the cloth, it absorbs heat from the bulb, cooling it down. The temperature indicated by this thermometer, once it stabilizes, is the wet bulb temperature. The rate of evaporation, and thus the cooling effect, depends on the amount of moisture already in the air (humidity).
- High Relative Humidity: When the air is already saturated with moisture, little evaporation can occur, and the wet bulb temperature will be very close to the dry bulb temperature (ambient air temperature).
- Low Relative Humidity: When the air is dry, water evaporates rapidly, leading to significant cooling. The wet bulb temperature will be considerably lower than the dry bulb temperature.
Why is Wet Bulb Temperature Important?
The wet bulb temperature is critical in several fields:
- Human Comfort and Health: It's a better indicator of heat stress than dry bulb temperature alone. High WBT levels can make it difficult for the human body to cool itself through sweating, leading to conditions like heat exhaustion and heatstroke. A WBT of around 31°C (88°F) is considered dangerous for prolonged outdoor activity, and above 35°C (95°F) can be life-threatening even for healthy individuals resting in the shade.
- Agriculture: It affects plant transpiration rates and the risk of heat stress in livestock.
- Meteorology: It's used in forecasting weather patterns and understanding cloud formation.
- HVAC and Industrial Processes: It's vital for designing cooling towers, air conditioning systems, and processes involving evaporation.
The Science Behind the Calculation
Calculating the wet bulb temperature accurately usually involves psychrometric charts or complex thermodynamic equations. A common approximation, especially when atmospheric pressure is not significantly different from sea level (~101.3 kPa), can be derived from the ambient dry bulb temperature and relative humidity.
A widely used empirical formula for approximating Wet Bulb Temperature ($T_{wb}$) given Dry Bulb Temperature ($T_{db}$) in °C and Relative Humidity ($RH$) in percent is the Stensrud formula or similar iterative methods. However, a simpler approximation for common ranges is often sufficient for general understanding, though less precise than iterative solutions or psychrometric charts. A more robust approximation often involves iterative calculations.
The calculation below uses an iterative approximation method. It starts with an initial guess for the wet bulb temperature and refines it until it converges to a stable value. This method is more accurate than simple empirical formulas across a wider range of conditions.
The Iterative Approach:
The core idea is to find a temperature $T_{wb}$ such that the saturation vapor pressure at $T_{wb}$ (adjusted for pressure) allows for the calculated actual vapor pressure based on $T_{db}$ and $RH$. This is typically solved iteratively:
- Calculate the saturation vapor pressure at the dry bulb temperature ($P_{wsat}(T_{db})$).
- Calculate the actual vapor pressure ($P_a$) using the relative humidity: $P_a = RH/100 * P_{wsat}(T_{db})$.
- Estimate an initial guess for the wet bulb temperature ($T_{wb\_guess}$). A simple starting point can be $T_{wb\_guess} = T_{db}$.
- Iteratively adjust $T_{wb\_guess}$ by calculating the saturation vapor pressure at $T_{wb\_guess}$, call it $P_{wsat}(T_{wb\_guess})$.
- Calculate the vapor pressure difference and use it to refine the guess for $T_{wb}$. A common approach is to solve the psychrometric equation implicitly. A simplified iterative step might look at the difference between actual vapor pressure and the vapor pressure at saturation for the current $T_{wb\_guess}$.
The precise implementation often involves solving the following implicitly:
e = e_s(T_{wb}) - A * P * (T_{db} - T_{wb})
where:
e is the actual vapor pressure (calculated from $T_{db}$ and $RH$).
e_s(T_{wb}) is the saturation vapor pressure at the wet bulb temperature.
A is the psychrometric constant (approx. 0.000665 /°C for standard pressure).
P is the atmospheric pressure in kPa.
T_{db} is the dry bulb temperature in °C.
T_{wb} is the wet bulb temperature in °C.
The calculator uses a numerical method to find the $T_{wb}$ that satisfies this relationship.
Example Calculation
Let's consider a common scenario:
- Dry Bulb Temperature ($T_{db}$): 30°C
- Relative Humidity ($RH$): 60%
- Atmospheric Pressure: 101.3 kPa (standard)
In this case, the air is moderately warm and humid. The wet bulb temperature calculation would yield approximately 23.4°C. This means that evaporative cooling can lower the temperature down to 23.4°C under these conditions. While 30°C might feel warm, a WBT of 23.4°C indicates a moderate level of heat stress, manageable for most people.
Consider another example:
- Dry Bulb Temperature ($T_{db}$): 35°C
- Relative Humidity ($RH$): 80%
- Atmospheric Pressure: 101.3 kPa (standard)
Here, the dry bulb temperature is very high, and the humidity is also high. The calculated Wet Bulb Temperature would be approximately 31.7°C. This high WBT signifies a dangerous heat level, where the body's natural cooling mechanisms are severely impaired, posing a significant risk of heat-related illness.
function calculateWetBulb() {
var dryBulbTemp = parseFloat(document.getElementById("dryBulbTemp").value);
var relativeHumidity = parseFloat(document.getElementById("relativeHumidity").value);
var pressure = parseFloat(document.getElementById("pressure").value); // in kPa
// Basic validation
if (isNaN(dryBulbTemp) || isNaN(relativeHumidity) || isNaN(pressure)) {
document.getElementById("wetBulbResult").innerText = "Error";
return;
}
if (relativeHumidity 100) {
document.getElementById("wetBulbResult").innerText = "Invalid RH";
return;
}
if (dryBulbTemp 50) { // Realistic bounds for weather
document.getElementById("wetBulbResult").innerText = "Temp out of range";
return;
}
if (pressure <= 0) {
document.getElementById("wetBulbResult").innerText = "Invalid Pressure";
return;
}
// Constants and intermediate calculations
var c1 = 17.625;
var c2 = 243.04; // For calculating saturation vapor pressure using Magnus formula
// Calculate saturation vapor pressure at dry bulb temp (e_s(T_db))
var es_tdb = 6.112 * Math.exp((c1 * dryBulbTemp) / (c2 + dryBulbTemp));
// Calculate actual vapor pressure (e)
var ea = (relativeHumidity / 100) * es_tdb;
// Psychrometric constant (A) – approximate value for air
// A = 0.000665 /deg C in SI units (for pressure in Pascals, temp in C)
// For pressure in kPa, A is approx 0.000665 * 1000 / 1000 = 0.000665
// However, many sources use a form that incorporates pressure.
// Let's use an iterative approach based on the ASHRAE formulation or similar.
// Iterative calculation for Wet Bulb Temperature (T_wb)
// This is a simplified iterative solver for the implicit equation:
// ea = es(T_wb) – gamma * (T_db – T_wb)
// where gamma is the psychrometric constant, which depends on pressure.
// gamma = Cp / (lambda * epsilon) where Cp is specific heat, lambda is latent heat, epsilon is ratio of molar masses
// A common approximation for gamma * P is roughly 0.0665 kPa/degC at sea level.
// Let's use a robust iterative method.
var Twb = dryBulbTemp; // Initial guess
var Twb_old = 0;
var maxIterations = 100;
var tolerance = 0.01; // Tolerance for convergence in degrees Celsius
for (var i = 0; i < maxIterations; i++) {
Twb_old = Twb;
// Calculate saturation vapor pressure at current Twb guess
var es_twb = 6.112 * Math.exp((c1 * Twb) / (c2 + Twb));
// Calculate apparent psychrometric constant (gamma * P)
// Using a simplified form derived from standard atmospheric properties
// This term is roughly proportional to pressure. A common approximation related to this is:
// Psychrometric constant (gamma) = 0.000665 K^-1 (or /degC) for standard atmosphere in hPa
// For kPa, P = 101.325 kPa standard
// A more accurate gamma factor incorporates pressure: gamma_p = gamma * (P / P0)
// Let's use a value that is related to the constants often found in psychrometric formulas.
// A more common form relates vapor pressures:
// ea = es_twb – (A_pressure * pressure) * (dryBulbTemp – Twb)
// Where A_pressure is a combined constant.
// Let's use a standard iterative formula for wet-bulb:
// Find Twb such that: Twb = Tdb – ( (es(Tdb) – ea) / (K * P) )
// Where K is related to Cp/lambda. A common constant for (K*P) is often derived.
// Simplified approach: Iterate on the energy balance equation:
// Heat removed by evaporation = Sensible heat from air
// lambda * m_dot * (x_w – x_a) = Cp * m_dot * (Tdb – Twb) — This is for adiabatic saturation
// A practical iterative solution for Twb based on vapor pressure relationship:
// We are looking for Twb where the saturation vapor pressure at Twb, es_twb,
// when adjusted by the adiabatic cooling effect, equals the actual vapor pressure ea.
// The equation often solved iteratively is:
// ea = es(Twb) – ( ( (Cp + W*Cv) / lambda ) * P_total ) * (Tdb – Twb)
// Where W is humidity ratio, Cp, Cv are specific heats, lambda is latent heat, P_total is total pressure.
// A simpler iterative solver often used in meteorology:
// Target function: f(Twb) = es(Twb) – ea – gamma(P) * (Tdb – Twb) = 0
// Let's approximate gamma(P) * P = 0.0665 kPa/degC for standard pressure.
// So, gamma(P) = 0.0665 / P
var gamma_approx = 0.000665; // Simplified psychrometric constant /deg C for P in Pa
var psych_term = gamma_approx * (pressure * 1000); // Convert P to Pa for consistency with gamma
// Adjusting for common simplified formulas:
// Often, the constant is directly related to pressure.
// Let's use the commonly cited implicit form and solve it:
// ea = es(Twb) – A_const * (dryBulbTemp – Twb)
// where A_const is derived from physical constants and pressure.
// A_const is approximately (0.000665 * pressure * 1000) / (Latent_Heat_of_Vaporization) — this is complex.
// Let's use a common approximation directly solving for Twb iteratively:
// Using Magnus-Tetens approximation and an iterative adjustment.
// A robust iterative approach is based on finding Twb where:
// ea = es(Twb) – P * (Tdb – Twb) * psychrometric_constant
// For P in kPa, the term P*(Tdb-Twb) * psych_const can be approximated.
// A good numerical approximation often cited:
// Iteratively solve for Twb where:
// ea = calculated_es_at_Twb – (0.000665 * pressure * (dryBulbTemp – Twb)) — This is for P in hPa, adjust for kPa
// If P is in kPa, use approx 0.0665 * (dryBulbTemp – Twb)
var term = (0.0665 * pressure) * (dryBulbTemp – Twb); // Approximation for the cooling effect term
// Refined Twb guess
Twb = dryBulbTemp – (es_tdb – ea) / (0.0665 * pressure + (es_tdb – ea) / (dryBulbTemp – Twb)); // This is complex and may diverge.
// Let's use a simpler Newton-Raphson or bisection method implicitly.
// Or a direct iterative refinement:
// Corrected Twb = Twb – f(Twb) / f'(Twb)
// f(Twb) = ea – es(Twb) + gamma * P * (Tdb – Twb)
// f'(Twb) = – d(es)/dTwb – gamma * P
// d(es)/dTwb = es(Twb) * c1 / (c2 + Twb)^2
var d_es_dTwb = es_twb * c1 / Math.pow(c2 + Twb, 2);
var psychrometric_coeff = 0.000665 * pressure; // For P in kPa, this constant is approx 0.0665 when P=100kPa, adjust.
// A better approximation for the coefficient multiplying (Tdb – Twb) is ~0.0665 kPa/degC for standard pressure.
// Let's use this:
var psychrometric_factor = 0.0665 * (pressure / 101.325); // Scale with pressure relative to std
var f_Twb = ea – es_twb + psychrometric_factor * (dryBulbTemp – Twb);
var f_prime_Twb = -d_es_dTwb – psychrometric_factor;
Twb = Twb – f_Twb / f_prime_Twb;
if (Math.abs(Twb – Twb_old) < tolerance) {
break; // Converged
}
}
// Final result formatting
var result = Twb.toFixed(1);
document.getElementById("wetBulbResult").innerText = result;
}
// Initial calculation on load
document.addEventListener('DOMContentLoaded', function() {
calculateWetBulb();
});