Air Pollution Source Determination through Modeling

Introduction

• Presenter: History User
• Topic: Air pollution source determination using the receptor model (source apportionment model).

Objective of the Receptor Model

• Determine emission concentrations from one or multiple sources.
• Equation:
  • X = summation of (fraction of I species from K source * emission concentration S of J sample from K source)
  • Elements analyzed typically include: Nickel, Cadmium, Lead.*

Sources of Air Pollution

1. Power Plant
2. Traffic
3. Industry

Receptor Model Visualization

• Diagram illustrating the relationship between sources and pollutants.

Example of the Receptor Model

• Three Sources:
  1. Power Plant
  2. Traffic
  3. Industry
• Elements and Their Sources:
  • Nickel:
    • Power Plant: 10%
    • Traffic: 30%
    • Industry: 60%
  • Cadmium:
    • Power Plant: 50%
    • Traffic: 10%
    • Industry: 40%
  • Lead:
    • Power Plant: 50%
    • Traffic: 30%
    • Industry: 20%

Sampling and Data Collection

• Sample Collected: PM10 (particulate matter < 10 micrometers)
• Results:
  • Lead: 8.5 µg/m³
  • Nickel: 10 µg/m³
  • Cadmium: 7.5 µg/m³

Setting Up Equations

• Each element's concentration is expressed in terms of the fractions and emission concentrations:
  • Nickel:
    • 10 = 0.1 * S_PP + 0.3 * S_T + 0.6 * S_I
  • Cadmium:
    • 7.5 = 0.5 * S_PP + 0.1 * S_T + 0.4 * S_I
  • Lead:
    • 8.5 = 0.5 * S_PP + 0.3 * S_T + 0.2 * S_I*

Solving the Equations

• Results:
  • S_PP = 13.25 µg/m³
  • S_T = 11.25 µg/m³
  • S_I = 1.5 µg/m³
• Conclusion: Power plant has the highest emission concentration.

Considerations for Using the Receptor Model

1. Sampling Location:

   • Place sampling equipment strategically to capture contributions from multiple sources.

2. Sensitive Receptors:

   • Consider locations of high population density or sensitive individuals (e.g., school children, patients).

3. Sample Size:

   • Collect multiple samples to determine patterns in emission concentrations.

4. Elemental Analysis:

   • Send samples for elemental analysis to determine concentrations of pollutants.

5. Geological Parameters:

   • Analyze wind direction to determine optimal sampling locations (preferably downwind).

Conclusion

• Multiple factors influence the accuracy of emission concentration estimations, including the number of samples, the placement of sampling equipment, and the understanding of source compositions.