ANALISIS PERUBAHAN SUHU PERMUKAAN LAUT AKIBAT OUTFALL PEMBANGKIT LISTRIK TENAGA UAP (PLTU) DENGAN CITRA LANDSAT 8 (STUDI KASUS: PLTU PAITON)
Power plant is one of the ways to fulfill the energy needs of human life. One of power plants that currently growing rapidly is the Steam Power Plant (PLTU). One of the largest steam power plants in Indonesia and even in Southeast Asian is Paiton Steam Power Plants that located in Probolinggo Regenc...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55802 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Power plant is one of the ways to fulfill the energy needs of human life. One of power plants that currently growing rapidly is the Steam Power Plant (PLTU). One of the largest steam power plants in Indonesia and even in Southeast Asian is Paiton Steam Power Plants that located in Probolinggo Regency, East Java. Large capacity of electricity generated by Steam Power Plants Paiton make the amount of waste that is released is quite a lot too. Steam Power Plants has a cooling system that using sea water. From this cooling system, liquid waste will be produced heat water (outfall) which has high temperature so that further processing is needed before being discharged into the sea. Even so, the heat water still has higher temperature relatively than the normal sea temperature. Therefore, needs further research to idetify the changes in sea surface temperature at Paiton Steam Power Plants due to the outfall. The method used in this research is extracted the sea surface temperature values using remote sensing technology. Image data used in this research is Landsat 8 OLI/TIRS. In addition, this research will analyze paramaters that affect the changes of sea surface temperature, such as the effect of ENSO phenomenon, rainfall, and monsoons. The results obtained from image data processing show that the value of sea surface temperature in the Paiton Steam Power outet canal is 21°C – 35°C. In addition, the correlation between sea surface temperature and the ENSO phenomenon is 0,1998. Meanwhile, the correlation between sea surface temperature and rainfall is 0,3772 and its value is proportional to the correlation between sea surface temperature and monsoons.
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