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Monitoring of ambient air quality yields data typically presented as time series plots, tables of summarized statistical values, or other  representations. This paper presents an  alternative way to  visualizing air  quality  monitoring data  by  presenting concentrations  in  the form  of  a calendar, offering a familiar way for reader to identify air quality trends on various time scales(daily, weekly, or  monthly). One  of the major  air pollution  problems in the  northern part  of Thailand  is  haze,  which  is  related  tothe  concentration  of  airborne  particulates  less  than  10 microns in size (PM10). This paper presents calendars of PM10 concentrations monitored by the  Pollution  Control  Department  across  northern  Thailand.  Hourly  mean  PM10  concen-trationsmonitored  at  13  stations  were  used  to  construct  PM10  concentration  calendars  for each  station.  Haze  episodes  are  clearly  identifiable  in  the  visualization;  the  calendar  also allows easy comparison of PM10 levels between years. We also observed the absenceof any haze episodes in 2011, and propose possible related factors.

Visualization and Interpretation of PM10 Monitoring Data Related to Causes of Haze Episodes in Northern Thailand