KAJIAN UKURAN BESAR BUTIR SEDIMEN DAN KAITANNYA DENGAN VARIASI MUSIMAN DAN TAHUNAN DI MUARA GEMBONG, TELUK JAKARTA
Jakarta is the capital city of Indonesia which development plan of Jakarta should be based on natural conditions that occurs within the premises of Jakarta. One of the most critical problem of Jakarta`s development is the high rate of rainfall rate in the rainy seasons that could inflict catastro...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/45332 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Jakarta is the capital city of Indonesia which development plan of Jakarta should be based
on natural conditions that occurs within the premises of Jakarta. One of the most critical
problem of Jakarta`s development is the high rate of rainfall rate in the rainy seasons that
could inflict catastrophic disasters such as flood, whereas the huge mass of water that flow
on the 13 river through Jakarta and it’s nearby area towards the Jakarta Bay. The purpose
of this study is to understand what climate variability that caused most impact at Jakarta
Bay by using grain size method for sediment sample. Sediment sample of this study is taken
from Muara Gembong, mouth of Citarum River at Jakarta Bay. Afterwards, the sediment
samples was analyzed by using Mastersizer 2000 and made time series of grain size
distribution depend on sedimentation rate of taken core. Based on carbon 14C test, which
done by Center of Reseach and Development of Marine Geology (PPPGL), the
sedimentation rate of the core is 1.67 cm/year, that makes the observed depth of core (0 –
15 cm) has an interval age from 2001 to 2010. Grain size data verified by using sea
surface temperature data from Nasa Ocean Color and precipitation rate. The verification
result shows an increasing of precipitation rate near the riverbanks of Citarum River
followed by the decrease of sea surface temperature and enhancement of grain size.
Afterwards, the grain size analysis of sediment sample is correlated with climate
variability data such as ENSO, Dipole Mode and Monsoon. The results in statistical test
show that Multivariate ENSO Index, Oceanic Nino Index, Dipole Mode Index and
Australian Monsoon Index have significant correlation with the change of sediment
sample`s grain size. |
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