ESTIMATION OF FLUSHING TIME IN BIMA BAY
Bima Bay, the economy powerhouse of Sumbawa Island, encountered algae bloom on April- May 2022. This study aims to investigate the pollutant resistance of Bima Bay by estimating the flushing time using both numerical and empirical approaches. Numerical flushing time estimation was done with 2 Dim...
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| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/77622 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Bima Bay, the economy powerhouse of Sumbawa Island, encountered algae bloom on April-
May 2022. This study aims to investigate the pollutant resistance of Bima Bay by estimating the
flushing time using both numerical and empirical approaches. Numerical flushing time estimation
was done with 2 Dimension Hydrodynamic Model & particle tracking using Delft3D-FLOW and
Delft3D-PART to simulate tidal flushing in Bima Bay. Empirical flushing time estimation utilizes the
Modified Tidal Prism Method (MTPM) with different return flow factor. Numerical flushing time
with dispersion scheme yield 10 months duration. While without dispersion scheme, the flushing time
of Bima Bay is more than 2 years. The research findings indicate that MTPM yield lower flushing
time value than numerical method. Local flushing time in the eastern and southern part of Bima Bay
have longer flushing time compared to the western and northern part. |
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