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Air Quality Index (AQI) Linear Interpolation

Converts a measured pollutant concentration into the standardized Air Quality Index scale using linear interpolation between breakpoints.

EnvironmentalAir QualityPublic Health

Air Quality Index CalculatorLinear Interpolation

AQI = ((AQI_hiAQI_lo) / (C_hiC_lo)) · (CC_lo) + AQI_lo
AQI_hi/lo = breakpoint AQI values  ·  C_hi/lo = breakpoint concentrations  ·  C = measured concentration
⟹ SolveAQI, Concentration
µg/m³
AQI
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Presets (examples):
AQI
Pollutant: Concentration: AQI:
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AQI Gauge
Good (0–50) Moderate (51–100) USG (101–150) Unhealthy (151–200) V. Unhealthy (201–300) Hazardous (301–500)
AQI = ((AQI_hi − AQI_lo) / (C_hi − C_lo)) · (C − C_lo) + AQI_lo  ·  EPA breakpoints for 6 criteria pollutants

Variables

SymbolQuantityUnit
AQIAir quality index
CMeasured pollutant concentration
C_loLower breakpoint concentration
C_hiUpper breakpoint concentration
AQI_loAQI value at lower breakpoint
AQI_hiAQI value at upper breakpoint

What it means

The Air Quality Index (AQI) is a standardised system to report daily air quality. For each pollutant, the concentration is converted to an AQI value using a piecewise linear function defined by breakpoints. This formula linearly interpolates between two adjacent breakpoints. If the concentration C falls between C_lo and C_hi, the corresponding AQI is computed using the given formula. This method is used by environmental agencies (e.g., EPA) to provide a simple and understandable index for the public. The AQI ranges from 0 to 500, with higher values indicating worse air quality. Example: For ozone, if C=80 ppb, and the breakpoints are C_lo=65 (AQI_lo=100) and C_hi=85 (AQI_hi=150), then AQI = ((150-100)/(85-65)) × (80-65) + 100 = (50/20) × 15 + 100 = 2.5 × 15 + 100 = 137.5, which rounds to 138. This informs the public about health risks.

Worked example

Air Quality Index Interpolation – Two Examples

Real‑World
Scenario: PM₂.₅ concentration is 20 µg/m³. The breakpoints are 12.1–35.4 µg/m³ corresponding to AQI 51–100. Find the AQI.
ParameterValue
C20
C_lo12.1
C_hi35.4
AQI_lo51
AQI_hi100
1AQI = ((100-51)/(35.4-12.1)) × (20-12.1) + 51 = (49/23.3) × 7.9 + 51 = 2.103 × 7.9 + 51 = 16.61 + 51 = 67.6
Result 67.6 ✓ Moderate
Scenario: Ozone concentration 80 ppb with breakpoints 55.5–150.4 ppb for AQI 151–200. Find AQI.
ParameterValue
C80
C_lo55.5
C_hi150.4
AQI_lo151
AQI_hi200
1AQI = (49/94.9) × (80-55.5) + 151 = 0.516 × 24.5 + 151 = 12.64 + 151 = 163.6
Result 163.6 ✓ Unhealthy
Environmental insight: AQI categories: 0-50 Good, 51-100 Moderate, 101-150 Unhealthy for Sensitive Groups, 151-200 Unhealthy.

Common mistakes

  • Concentration C: The measured pollutant concentration – must lie between C_lo and C_hi.
  • AQI_hi and AQI_lo: The AQI values corresponding to the upper and lower breakpoints for that concentration range – use EPA or local tables.
  • Interpolation: Linear interpolation assumes a straight line between breakpoints – reasonable for AQI.
  • Rounding: AQI is typically rounded to the nearest integer.
  • Multiple pollutants: The overall AQI is the maximum of individual pollutant indices – not the sum.

Applications

The air quality index (AQI) is determined by linear interpolation between breakpoints for each pollutant (e.g., PM₂.₅, O₃, NO₂), using pollutant concentration (C) and the corresponding high and low AQI and concentration values. This linear scaling allows for standardised communication of air pollution levels to the public, indicating health implications and recommended actions. Environmental regulators and health agencies use AQI to issue daily forecasts, to issue alerts during episodes of high pollution, and to evaluate compliance with standards. By applying this interpolation, professionals can convert measured concentrations into an intuitive index that guides community behaviour, such as limiting outdoor activity during poor air quality days.

  • Public communication of air quality through daily AQI reports
  • Alert systems for ozone, particulate matter, and other pollutants
  • Health risk communication and advice for sensitive groups
  • Compliance assessment with National Ambient Air Quality Standards (NAAQS)
  • Real‑time air quality monitoring and data visualisation