The following step were taken in the gridding of the Black Carbon emission data. For more information, please see the below flow chart.

the flow chart for gridding procedure

Preparing datasets:
Emission database( sectorial ) and spatial database (administrative boundary, land cover , and population)
are required for making spatial allocation factors  for gridding.
     Black Carbon emission data by province from  China-Map project are used for emission data base.
     The 30 second by 30 second population and landcover data from  LandScan Global Population 1998 Database,
Oak Ridge National Laboratory are used for spatial database.
     Country and province boundary map from China Dimensions are used to make administrative boundary for China.

Administrative Boundaries of China
Administrative Boundaries of China( click at picture for full view)

Deciding spatial allocation factor

Total population, urban population , and rural population had been chosen for making
high-resolution spatial allocation factors.They were used for allocation of each the emission
sectors -residential coal use, residential biofuel use, field combustion, and other.

Processing datasets

Before calculating spatial allocation factors and assigning emissions to the each cell,
each dataset had been processed to have same geographical property. Population  and
landcover within China boundary were extracted from global dataset. They were
converted to GRID format using Arcview.

Population Distribution of China  landcover of China
Population distribution of China, 30 sec by 30 sec                                                  Population distribution of China, 30 sec by 30 sec
                (click at picture for full view)                                                                                  (click at picture for full view)
Making spatial allocation factor
Urban and rural population by 30 second were extracted from total population using landcover data.
Total, urban, and rural population by province were made from population, landcover,
and province boundary GIS database.From dividing each 30 second population by province total,
spatial allocation factor were calculated.

Allocating emission to 30 second grid cell
Each allocation factor(the factors made by total, urban, and rural population) multiplied to
province level emissions.And then, Add all emissions by sector to make a total emissions
from each 30 second grid cell.

Making gridded emission with other resolutions
Aggregating emission grid cells to make gridded emission with different resolution.
The raw resolution dataset and aggregate ones for 95 China BC emission presented
as some example. mission with other resolutions.
     For entire China

Gridded BC emission for year 1995 (1 deg. by 1deg, country level)  Gridded BC emission for year 1995 (30min. by 30min , country level)
Gridded Black Carbon emission for year 1995 ,                                        Gridded Black Carbon emission for year 1995
 (1 deg by 1 deg, country level)( click at picture for full view)                   (30 min by 30 min, country level) ( click at picture for full view)
 

Gridded BCemission for year 1995 (5min. by 5min, country level)>
Gridded Black Carbon emission for year 1995 , (5 min by 5 min, country level) ( click at picture for full view)

     For Beijing and Tianjin region

GriddedBC emission for year 1995 (1deg. by 1deg., Beijing and Tianjin region)  GriddedBC emission for year 1995 (5 min. by 5 min., Beijing and Tianjin region
Gridded Black Carbon emission for year 1995 ,                                           Gridded Black Carbon emission for year 1995 ,
(1 deg by 1 deg, Beijing and Tianjin region)                                                (5 min by 5 min, Beijing and Tianjin region)
( click at picture for full view)                                                                       ( click at picture for full view)

 
Gridded BC emission for year 1995 (30sec. by 30sec, Beijing and Tianjin region)
Gridded Black Carbon emission for year 1995 , (30 sec by 30 sec, Beijing and Tianjin region) ( click at picture for full view)