CD Tesis
Karakteristik Spasial Dan Temporal Kebakaran Lahan Gambut Di Kabupaten Rokan Hilir
The presence of peatland in Indonesia has an important role for the sake of
environmental perseverance globally. Land fire does not only occur in dry land,
but also in wet land. Rokan Hilir Regency is the contributor of forest fire and
peatland fire until peatland degradation in Rokan Hilir Regency continues to
occur. The problem analyzed in this research was analyzing the hotspot data, the
correlation which occurs between the characteristics of forest fire and peatland
fire spatially and temporally, and analyzing the correlation between the drought
index and the characteristics of forest fire and peatland fire until the vulnerability
level or the risk of forest fire and peatland fire can be recognized from those
informations.
The purposes of this research were to identify the trend of peatland fire, to
analyze the characteristics of fire occurrence (the large of burned area, the fire
duration, and the fire speed), and to analyze the correlation betwen drought index
and the characteristics of that fire. This research was expected to give the
reference of knowledge and science development in the field of Hydrology and
Geographic Information System related to the characteristics and pattern of
peatland fire occurrence, and the reference in the effort of forest fire and peatland
fire control. The observation in this research was carried since 2013 until 2020.
The data used in this research consisted of Satellite Landsat 7 and 8 data, hotspot
data with confidence level more than 60%, the map area of Administration and
KHG of Rokan Hilir Regency, and the data of rainfall from CHRIPS satellite.
Grid in this research was divided into 5 grids with its grid naming namely
consisted of A1, B1, B2, C1, and C2.
The total hotspot detected were 8207 hotspots. The most hotspot occurred in
2013 namely 3.361 hotspots. The dominant hotspot occurred in KHG area
amounted 7.456 hotspot or amounted 90,84%. The high rainfall will complicate
the occurence of peatland fire because it will influence the height of peatland
water. The correlation between the hotspot data which is the initial indicator in
detecting the forest fire and land fire with the rainfall intensity becomes not
consistent caused by some factors such as the environment biophysics factor,
economy and social aspect, space policy factor, the effort of land expansion, and
the law and regulation enforcement that is still not maximal. The digitization
result of the fire area large was obtained by showing the hotspot data which then
stack up the Image of Landsat Satellite. The biggest land fire occurred in 2013
amounted 83.200,41 Ha. The correlation betweenb The Correlation Coefficient
(R) of each fire characteristics that occurred in peatland namely between the
large of fire area towards the total number of hotspot (R = 0,7934), fire duration
(day) (R = 0,7984), and fire speed (Ha/day) (R = 0,6540), all of them generated
the strong correlation.
The relationship between the drought index of the SPI method for the 15-
day period and the number of hotspots, namely the highest number of hotspots
xv
detected for the period of June II, with the SPI index value on each grid -0.34 to -
1.29 and the maximum detected hotspots, the SPI value is negative, meaning that
there has been during a rainfall deficit. The relationship between the drought
index of the SPI Period 1 Monthly method and the fire area (Ha), namely the
highest fire area occurred in June 2013 covering an area of 69,205.05 Ha with
the SPI value of each grid being negative (-0.60 to -2.00 ) means that it occurs
during a rainfall deficit. The relationship between the drought index of the SPI
method for 1 month period and the duration of the fire (days), namely the highest
fire duration occurred in July 2014 for 27 days with the SPI index value (-0.03 to
1.63), the grid with the SPI classification is quite wet and it is very wet, hotspots
are not dominant so that it can be interpreted that the duration of the fire is long,
the area will have a smaller SPI index value, when the duration of the fire is
short, it will have a higher SPI index value. The relationship between the drought
index of the SPI Period 1 Monthly method and the fire rate (ha/day), namely the
highest fire rate in June 2013, namely 2,661.73 ha/day, with the SPI index value
for each grid being negative (-0.60 to -2.00) because the rate of fire is affected by
the area of the fire and this means that it also occurs during a rainfall deficit.
The lowest 1-month SPI index value experienced fires, namely -2.519 (very
very dry) which occurred in 2014 on grid B1, and the highest 1-month Period SPI
index value experienced peatland fires, namely 1.710 (very wet) which occurred
in 2017 on the C1 grid. Drought index mapping to see differences in drought
index in each grid. The creation of this drought index map is assisted by using the
Arcgis application so that the distribution of classifications and their boundaries
can be seen on the map.
Some aspects that can be concluded through this research were the fire
dominantly occurred in the location which is the area of Peat Hydrology Unity
(KHG), not only rainfall which influences the forest fire and peatland fire but also
influenced by other factors as well. Temporally, the largest fire occurred in 2013.
Spatially the correlation between the large of fire area with the total hotspot, fire
duration (day), and fire speed (Ha/day) generated a strong correlation. The SPI
index value was negative signing the soil condition was in dry condition which
can cause hotspot data until enlarging the fired forest, extending the fire duration,
and improving the fire speed. The drought index mapping can predict the
vulnerable land which burnt later. The very wet classification fire still can occur
in the peatland. In order to perfecting this research, it suggested to use the
satellite image wich has higher resolution and need to compare with the data of
other fire occurrence through the related parties.
Key Words : characteristic, spatial, temporal, fire, peat.
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