Clarification needed on whether the 'exclude exceptional events' setting excludes regional EPA concurred exceptional events, or all events marked as exceptions.
AirData, a popular air quality monitoring platform, offers users the flexibility to manage data that may have been influenced by exceptional events. These events, such as wildfires, volcanic eruptions, or high winds, can significantly impact air quality measurements and distort long-term trend analysis.
The platform provides a feature known as the "Exclude exceptional events data" option. When selected, monitoring data identified as being affected by such events is omitted from regulatory compliance assessments and trend evaluations. This allows for a clearer understanding of typical air quality by removing anomalies caused by extraordinary and uncontrollable events.
In the Monitor Values Report, a column indicates whether there were any flagged data, and if they were included or excluded. The report also provides more detailed information about the presence and handling of flagged data. It offers a clear distinction between included, excluded, and non-existent flagged data.
Interestingly, flagged data are not included in the calculations of statistics in the Air Quality Statistics Report. This means that users can make informed decisions about including or excluding flagged data based on their analysis needs. However, it's worth noting that the Air Quality Statistics Report does not provide information about which statistics are affected by including or excluding exceptional events.
AirData also uses specific Parameter Codes of Observation (POC) to identify the air quality parameters being measured. For instance, Parameter codes 88101 and 88502 are used for different types of PM2.5 monitors.
While the precise definition of an exceptional event can vary based on regulatory guidance, it often involves a formal demonstration that the event was natural, caused a significant pollutant increase, and was beyond the control of air quality managers or sources.
None of the provided search results directly define "exceptional event" in AirData or its associated exclusion option, but general understanding from air quality monitoring programs and EPA practices supports this explanation based on the context of air quality data exclusion practices.
In conclusion, AirData empowers users to make informed decisions about their data by providing clear distinctions between included, excluded, and non-existent flagged data, and by offering the option to exclude data influenced by exceptional events. This helps in maintaining accurate and reliable air quality data analysis.
- In health-and-wellness, understanding air quality data can be crucial; therefore, AirData's "Exclude exceptional events data" option is beneficial, as it excludes data that may be compromised due to natural occurrences like wildfires, volcanic eruptions, or high winds, thus providing more accurate long-term health-and-wellness assessments.
- Science also plays a significant role in air quality analysis. The excluded data due to exceptional events in AirData can be analyzed and correlated with other scientific data related to therapies and treatments, offering valuable insights for future health-and-wellness strategies and air quality management.
