Particulate matter monitoring

A system, comprising:

• a memory that stores computer executable components;
• a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise:
• a reception component that receives first particulate matter mass data determined by a first device monitor station device for a first atmospheric area over a period of time and first particulate matter count data determined by a first particulate matter count sensor device for the first atmospheric area over a first defined period of time, wherein the first device monitor station device and the first particulate matter count sensor device are located within a defined distance;
• a parameter extraction component that determines first conditional information comprising first values for defined conditional parameters, wherein the first values are associated with the first atmospheric area over the period of time;
• and
• a model generation component that determines one or more conversion models based on the first particulate matter count data, the first particulate matter mass data, and the first conditional information, wherein the one or more conversion models convert a particulate matter count to a particulate matter mass based on one or more conditional parameters of the of the defined conditional parameters.

A computer program product for monitoring particulate matter mass concentration, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to:

• determine relationships between first particulate matter mass data, first particulate matter count data and first conditional information,
• wherein the first particulate matter mass data was determined by a monitor station for a first atmospheric area over a period of time, and the first particulate matter mass data comprises particulate matter mass concentration levels for the first atmospheric area over the period of time,
• wherein the first particulate matter count data was determined by a reference particulate matter count device for the first atmospheric area over the period of time, and
• wherein the first conditional information comprises first values for defined conditional parameters, wherein the first values are associated with the first atmospheric area over the period of time;
• and
• create at least one conversion model based on the relationships, wherein the conversion model converts a particulate matter count to a particulate matter mass based on one or more conditional parameters of the defined conditional parameters, wherein the at least one conversion model comprises a first conversion model associated with low pollution states based on a first subset of the first conditional information associated with a first subset of particulate mass concentration levels below a threshold level and a second conversion model associated with high pollution states based on a second subset of the first conditional information associated with a second subset of the particulate mass concentration levels above the threshold level.