VERTICALLY INTEGRATED OF PRIMARY PRODUCTIVITY IN BANDA SEA USING MARRA MODEL

• Main Author: Karima Saputri, Navila
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/33382
• Institution: Institut Teknologi Bandung

Primary productivity can be estimated using some ways, data analisys from satellite or using models. An algorithm created by Marra was used to estimate vertically primary productivity in Banda Sea from surface to 180 meters depth in this research. The calculation needs some input data such as surface chlorophyll, Photosynthetic Active Radiation (PAR), and sea surface temperature (SST). The data source here taken from ocean color satellite SeaWIFs. The vertical chlorophyll was calculated using Gauss model from the surface chlorophyll and also Lambert Beer Law was used to estimate the vertical distribution of light intensity by depth. The result showed that primary productivity using MARRA model on the west monsoon about 14.82 mg C m-2 d-1 is smaller compare with field data 11.95 mg C m-2 d-1 at 15 meters depth. On the east monsoon primary productivity using MARRA model is also smaller (40.41 mg C m-2 d-1) compare with the field data (43.94 mg C m-2 d-1) at 15 meters depth. El-Nino Southern Oscillation (ENSO) also gives an effect to primary productivity. In the El-Nino phase (2002, 2004, 2009, and 2015), the value of primary productivity increases around 200-300 mg C m-2 d-1 than the normal phase (2001, 2003, 2005, 2012, 2013, and 2014). When La Nina phase (2000, 2007, 2008, 2010, dan 2011) is occurred, the value decreases about 150-200 mg C m-2 d-1 than normal phase.