RIVM report xxxxxx xxx
RIVM report xxxxxx xxx
RIVM report xxxxxx xxx
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
page 110 of 142 <strong>RIVM</strong> <strong>report</strong> 773301 001 / NRP <strong>report</strong> 410200 051<br />
An additional problem for this source is that available data are often limited to one or a few years and<br />
that the also the extent of burning often substantially differs between years (Fig. A.2.15). Using the<br />
counts of satellite observations of so-called hot-spots to identify the seasonal patterns of biomass burning<br />
(e.g. Fig. A.2.16), is also not straightforward. In Fig. A.2.17 the results of two algorithms for identifying<br />
hotspots for biomass burning are compared. Although the two patterns look similar the deviations from<br />
the uniform distribution are rather different.<br />
$9+55)LUH$WODV6RXWKHUQ+HPLVSKHUH<br />
100<br />
90<br />
80<br />
70<br />
60<br />
50<br />
40<br />
30<br />
20<br />
10<br />
0<br />
Hot spots (1000)<br />
South America<br />
Africa<br />
Australia<br />
1 2 3 4 5 6 7 8 9 10 11 12<br />
Month<br />
)LJ$6HDVRQDOLW\RIELRPDVVEXUQLQJLQWKH$9+55)LUH$WODV6RXWKHUQ+HPLVSKHUH6RXUFH(6$(65,1<br />
)UDVFDWL,WDO\<br />
Hot spots (1000)<br />
60<br />
$765:RUOG)LUH$WODV<br />
50<br />
40<br />
30<br />
1997 Alg1<br />
1997 Alg2<br />
1998 Alg1<br />
1998 Alg2<br />
20<br />
10<br />
0<br />
1 2 3 4 5 6 7 8 9 10 11 12<br />
Month<br />
)LJ$'LIIHUHQFHVLQKRWVSRWQXPEHUVLQWKH$765:RUOG)LUH$WODVLQXVLQJGLIIHUHQWDOJRULWKPVIRU<br />
LGHQWLI\LQJELRPDVVEXUQLQJ6RXUFH(6$(65,1)UDVFDWL,WDO\