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DATA ANALYSIS METHODS FOR LOW-COST AIR QUALITY SENSORS
Low-cost air quality sensors have the potential to contribute substantially to modelling of air quality in the form of generation of new knowledge, model validation and model input. Unfortunately, the poor or unknown data quality delivered by many low-cost air quality sensors hampers their widespread use in modelling and other areas. To contribute to the creation of this consensus, applied two outlier detection methodologies and five gap filling methodologies to a case study. We showed that erroneous data can be detected in a fully automated way, and that point and contextual outlier detection methodologies can be applied to low-cost air pollution data and yield meaningful results. The linear interpolation showed the best performance for gap filling for low-cost air pollution sensors. In conclusion, data cleaning procedures are important, and the presented methods can form part of a generalised data processing methodology for low-cost air pollution sensors.
DATA ANALYSIS METHODS FOR LOW-COST AIR QUALITY SENSORS
Low-cost air quality sensors have the potential to contribute substantially to modelling of air quality in the form of generation of new knowledge, model validation and model input. Unfortunately, the poor or unknown data quality delivered by many low-cost air quality sensors hampers their widespread use in modelling and other areas. To contribute to the creation of this consensus, applied two outlier detection methodologies and five gap filling methodologies to a case study. We showed that erroneous data can be detected in a fully automated way, and that point and contextual outlier detection methodologies can be applied to low-cost air pollution data and yield meaningful results. The linear interpolation showed the best performance for gap filling for low-cost air pollution sensors. In conclusion, data cleaning procedures are important, and the presented methods can form part of a generalised data processing methodology for low-cost air pollution sensors.
DATA ANALYSIS METHODS FOR LOW-COST AIR QUALITY SENSORS
Ottosen Thor-Bjorn (author) / Kumar Prashant (author)
2020-04-10
Conference paper
Electronic Resource
English
DDC:
690
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