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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Main Author: Nugraha Pongrekun, Jeremy
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
id id-itb.:77622
spelling id-itb.:776222023-09-12T09:02:40ZESTIMATION OF FLUSHING TIME IN BIMA BAY Nugraha Pongrekun, Jeremy Geologi, hidrologi & meteorologi Indonesia Final Project Bima Bay, Flushing Time, Hydrodynamic Modelling, Modified Tidal Prism Method, Particle Tracking. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/77622 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. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Geologi, hidrologi & meteorologi
spellingShingle Geologi, hidrologi & meteorologi
Nugraha Pongrekun, Jeremy
ESTIMATION OF FLUSHING TIME IN BIMA BAY
description 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.
format Final Project
author Nugraha Pongrekun, Jeremy
author_facet Nugraha Pongrekun, Jeremy
author_sort Nugraha Pongrekun, Jeremy
title ESTIMATION OF FLUSHING TIME IN BIMA BAY
title_short ESTIMATION OF FLUSHING TIME IN BIMA BAY
title_full ESTIMATION OF FLUSHING TIME IN BIMA BAY
title_fullStr ESTIMATION OF FLUSHING TIME IN BIMA BAY
title_full_unstemmed ESTIMATION OF FLUSHING TIME IN BIMA BAY
title_sort estimation of flushing time in bima bay
url https://digilib.itb.ac.id/gdl/view/77622
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