Gaussian Air Pollutant Dispersion Plume & Concentration Calculator
### Environmental Fluid Dynamics & Atmospheric Science: The Gaussian Plume Model The Gaussian plume model, adopted globally by the US EPA and WHO, models the 3-dimensional.
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📐 Formula
💡 Practical Example
For example, evaluating a power plant chimney emitting \ from a \(60.0\text{ m stack}\) with \(20.0\text{ m plume rise}\)) under Pasquill Class C stability in a \ at a receptor \(1.5\text{ km downwind}\) along the centerline): The dispersion coefficients are \^{0.894} = \mathbf{149.3\text{ m}}\), and \^{0.911} = \mathbf{88.0\text{ m}}\). The resulting ground-level ambient concentration is \ \times 10^6 = \mathbf{177.38\;\mu\text{g/m}^3}\).
📖 About Gaussian Air Pollutant Dispersion Plume & Concentration Calculator
Environmental Fluid Dynamics & Atmospheric Science: The Gaussian Plume Model
The Gaussian plume model, adopted globally by the US EPA and WHO, models the 3-dimensional steady-state dispersion of continuous industrial point-source emissions:
- The Three Dispersion Assumptions:
- Pollutant mass is conserved with 100% reflection at the ground surface (no chemical deposition).
- Advective transport dominates downwind (wind speed u is constant with height).
- Lateral (y) and vertical (z) concentration profiles follow a bell-shaped Gaussian normal distribution with standard deviations σ_y and σ_z.
- Pasquill-Gifford Atmospheric Stability Classes (A through F):
- Class A (Extremely Unstable): Strong solar radiation and light wind cause rapid turbulent mixing and looping plumes.
- Class D (Neutral): Overcast skies or windy days typical of temperate climates.
- Class F (Moderately Stable): Nocturnal radiation inversions trap pollutants in narrow fanning plumes that travel tens of kilometers without dispersing.
- Effective Stack Height): High flue gas exit velocity and thermal buoyancy lift the plume far above the physical stack rim, exponentially reducing ground-level impacts.
How to Use This Calculator
Enter your Pollutant Mass Emission Rate (Q in grams/second) (e.g. 50 (50 g/s SO2, NOx, or PM2.5)), Physical Chimney / Stack Height (h_s in meters) (e.g. 60.0), Thermal Buoyancy Plume Rise (Δh in meters) (e.g. 20.0 (Effective height H = hs + Δh)), Downwind Receptor Distance (x in kilometers) (e.g. 1.5 (1.5 km = 1,500 meters)), Crosswind Offset Distance (y in meters) (e.g. 0 (0 = Plume Centerline)), Mean Wind Speed at Release Height (u in m/s) (e.g. 4.5), and Atmospheric Pasquill-Gifford Stability Class — choose from Class A — Extremely Unstable (Strong sunny day, light wind), Class B — Moderately Unstable (Sunny daytime, moderate wind), Class C — Slightly Unstable (Daytime overcast / moderate sun). Results update instantly as you type — adjust any value to compare scenarios.
The Formula
EPA Gaussian Dispersion Plume \& Pasquill-Gifford equations:
Effective Release Height: H = h_stack + Δ h_plume rise (meters)
Ground-Level Concentration ( z = 0 ):
C(x, y, 0) = (Q) / (π u σ_y σ_z) (-(y^2) / (2σ_y^2)) (-(H^2) / (2σ_z^2)) × 10^6 (μg/m^3)
Pasquill-Gifford Dispersion Coefficients: σ_y = a y · x^b_y, σ_z = a z · x^b_z (x in km)
Worked Example
For example, evaluating a power plant chimney emitting \ from a 60.0 m stack with 20.0 m plume rise) under Pasquill Class C stability in a \ at a receptor 1.5 km downwind along the centerline): The dispersion coefficients are \^0.894 = 149.3 m, and \^0.911 = 88.0 m. The resulting ground-level ambient concentration is \ × 10^6 = 177.38 μg/m^
3.
Understanding Your Result
Evaluate your result in the context of your specific use case and relevant industry standards or reference values. A single calculated result is a starting point — test two to three scenarios to understand how sensitive the outcome is to your key input assumptions. For high-stakes decisions, verify your result against a secondary source or subject-matter expert before acting.
💡 Methodological Standards & Calculation Accuracy
- All calculations are performed client-side in your browser using verified, standards-compliant mathematical algorithms.
- Results are provided for educational and informational analysis; verify critical applications with certified domain specialists.
- Ensure input values are entered in consistent units matching the selector options to guarantee accurate outputs.
- Periodic recalibration is recommended whenever baseline assumptions, operating parameters, or external conditions change.
Results are for informational and educational purposes only. Always verify critical decisions with a qualified professional.