Disclosed is a novel system, computer program product, and method to compute an air quality forecast. An air quality forecast model, air quality real-time monitoring data, and air quality forecast data is accessed. A deviation in air pollution emission is monitored by classifying a difference between the air quality monitoring data and the air quality forecast data. This monitoring includes classifying any weather differences which are caused by weather, classifying any terrain differences which are caused by a geographic terrain; and, filtering the difference caused by inaccurate pollution emission inventory. The monitoring may repeat in response to a given time period elapsing or a chance in air quality forecast data received.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-based method for computing an air quality forecast, the method comprising: accessing an air quality forecast model, air quality real-time monitoring data, and air quality forecast data; monitoring a deviation in air pollution emission by classifying a difference between the air quality monitoring data and the air quality forecast data, by classifying any weather differences which are caused by weather; classifying any terrain differences which are caused by a geographic terrain; and filtering the difference caused by inaccurate pollution emission inventory. 2. The computer-based method of claim 1, further comprising, repeating the two classifying steps and the filtering step in response to at least one of a settable time period elapsing, detecting a change in the air quality forecast data, and detecting a chance in the air quality real-time monitoring data. 3. The computer-based method of claim 1, further comprising: determining a geographic area where pollution emission inventory needs to be adapted according to wind speed and wind direction. 4. The computer-based method of claim 1, wherein the monitoring the deviation further comprises using spatial interpolation. 5. The computer-based method of claim 1, further comprising: determining a geographic area where pollution emission inventory needs to be adapted. 6. The computer-based method of claim 1, further comprising: set an influence region of a first monitoring station using an equation (x−a)2+(y−b)2=r2, where a, b is are geographic coordinates of the first monitoring station, r is monitoring area of the first monitoring station; computing a first tangent line L1 and a second tangent line L2 of the monitoring area in a wind direction by solving: ( x - a ) 2 + ( y - b ) 2 = r 2   and   tangent   α = y x computing an influence area by nearby monitoring stations in wind direction, an influence area is defined by: (x−a)2+(y−b)2=r2, L1, L2, and Y=b′, where b′ is one of the geographic coordinates of a second monitoring station. 7. A system for computing an air quality forecast, the system comprising: a memory; a processor communicatively coupled to the memory, where the processor is configured to perform accessing an air quality forecast model, air quality real-time monitoring data, and air quality forecast data; monitoring a deviation in air pollution emission by classifying a difference between the air quality monitoring data and the air quality forecast data, by classifying any weather differences which are caused by weather; classifying any terrain differences which are caused by a geographic terrain; and filtering the difference caused by inaccurate pollution emission inventory. 8. The system of claim 7, further comprising, repeating the two classifying steps and the filtering step in response to at least one of a settable time period elapsing, detecting a change in the air quality forecast data, and detecting a chance in the air quality real-time monitoring data. 9. The system of claim 7, further comprising: determining a geographic area where pollution emission inventory needs to be adapted according to wind speed and wind direction. 10. The system of claim 7, wherein the monitoring the deviation further comprises using spatial interpolation. 11. The system of claim 7, further comprising: determining a geographic area where pollution emission inventory needs to be adapted. 12. The system of claim 7, further comprising: set an influence region of a first monitoring station using an equation (x−a)2+(y−b)2=r2, where a, b is are geographic coordinates of the first monitoring station, r is monitoring area of the first monitoring station; computing a first tangent line L1 and a second tangent line L2 of the monitoring area in a wind direction by solving: ( x - a ) 2 + ( y - b ) 2 = r 2   and   tangent   α = y x computing an influence area by nearby monitoring stations in wind direction, an influence area is defined by: (x−a)2+(y−b)2=r2, L1, L2, and Y=b′, where b′ is one of the geographic coordinates of a second monitoring station. 13. A non-transitory computer program product for computing an air quality forecast comprising a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured to perform: accessing an air quality forecast model, air quality real-time monitoring data, and air quality forecast data; monitoring a deviation in air pollution emission by classifying a difference between the air quality monitoring data and the air quality forecast data, by classifying any weather differences which are caused by weather; classifying any terrain differences which are caused by a geographic terrain; and filtering the difference caused by inaccurate pollution emission inventory. 14. The non-transitory computer program product of claim 13, further comprising, repeating the two classifying steps and the filtering step in response to at least one of a settable time period elapsing, detecting a change in the air quality forecast data, and detecting a chance in the air quality real-time monitoring data. 15. The non-transitory computer program product of claim 13, further comprising: determining a geographic area where pollution emission inventory needs to be adapted according to wind speed and wind direction. 16. The non-transitory computer program product of claim 13, wherein the monitoring the deviation further comprises using spatial interpolation. 17. The non-transitory computer program product of claim 13, further comprising: determining a geographic area where pollution emission inventory needs to be adapted. 18. The non-transitory computer program product of claim 13, further comprising: set an influence region of a first monitoring station using an equation (x−a)2+(y−b)2=r2, where a, b is are geographic coordinates of the first monitoring station, r is monitoring area of the first monitoring station; computing a first tangent line L1 and a second tangent line L2 of the monitoring area in a wind direction by solving: ( x - a ) 2 + ( y - b ) 2 = r 2   and   tangent   α = y x computing an influence area by nearby monitoring stations in wind direction, an influence area is defined by: (x−a)2+(y−b)2=r2, L1, L2, and Y=b′, where b′ is one of the geographic coordinates of a second monitoring station.