AI in Air Quality Monitoring Quiz

Answers and explanations appear as you take the quiz.

1. How does EPA guidance recommend evaluating a lower-cost air sensor?
   • Compare its measurements with a reference monitor under a planned study
   • Assume its readings are regulatory measurements without evaluation
   • Use it only to measure wind speed
   • Replace all measurements with a satellite image
2. What tradeoff did the cited Google Street View mobile-monitoring study identify?
   • It improved temporal coverage but lost all spatial detail
   • It improved spatial detail but observations at any one location were temporally sparse
   • It measured every home continuously
   • It removed the need for ground measurements
3. What does NASA’s TEMPO mission measure from geostationary orbit?
   • Ground-level personal exposure for every resident
   • Only indoor carbon dioxide
   • Ozone, aerosols, and clouds relevant to air quality
   • Traffic noise and vehicle speed
4. What is the purpose of the Air Quality Index (AQI)?
   • To certify that a location has zero pollution
   • To measure a person’s exact inhaled dose
   • To rank air sensors by purchase price
   • To communicate air-pollution levels using health-concern categories
5. Why can satellite observations and ground monitors complement one another?
   • They observe air quality at different spatial scales and measurement contexts
   • Each satellite observation equals an individual’s exposure
   • Ground monitors measure every point between stations
   • Combining them guarantees a correct forecast
6. What does an AQI value not directly measure for an individual?
   • The pollutant category being communicated
   • The exact amount of pollution that person inhaled
   • The health-concern category associated with the reading
   • The measured or forecast air-quality level
7. What information should accompany a public air-quality estimate?
   • Only the name of the algorithm
   • A guarantee that no pollution is present
   • The pollutant, measurement context, and relevant uncertainty
   • A claim that every sensor is equally accurate
8. Why should a model’s air-quality estimate include uncertainty?
   • Every model always makes the same error
   • Uncertainty means the pollutant cannot be measured
   • A forecast without uncertainty is automatically accurate
   • Sensors, coverage, and model assumptions limit how precisely conditions are known