The Thermocline Layer and Chlorophyll-a Concentration Variability during Southeast Monsoon in the Banda Sea

2nd International Conference on Tropical and Coastal Region Eco Development 2016

地球科学;生态环境科学

Pusparini, Nikita^1,3 ; Prasetyo, Budi^3 ; Ambariyanto^1,2 ; Widowati, Ita^1

Department of Marine Sciences, Faculty of Fisheries and Marine Sciences, Diponegoro University, Jl. Prof. H. Soedharto, SH, Tembalang Semarang

50275, Indonesia^1

Coastal Disaster Rehabilitation and Mitigation Center, Integrated Laboratory, Diponegoro University, Jl. Prof. H. Soedharto, SH, Tembalang, Semarang

50275, Indonesia^2

Indonesian Agency for Meteorology Climatology and Geophysics (BMKG), Indonesia^3

关键词: Chlorophyll a;    Chlorophyll-a concentration;    monsoon;    Remote sensing algorithms;    Satellite imagery data;    Sea surface temperature (SST);    Spatial and temporal analysis;    upwelling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/55/1/012039/pdf
DOI  :  10.1088/1755-1315/55/1/012039

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Thermocline layer and chlorophyll- A concentration can be used to investigate the upwelling region. This investigation is focused in the Banda Sea because the upwelling event in this area is quite large and has a longer upwelling duration than other waters in Indonesia. In addition, Banda Sea is also influenced by climatic factors such as monsoon. The aim of this research is to determine the validation of secondary data (from satellite imagery data and model) and in situ observation data (from research cruise) and to determine the variability of thermocline layer and chlorophyll- A concentration during Southeast Monsoon in the Banda Sea. The data used in this study were chlorophyll- A concentration, seawater vertical temperature at depths 0-400 meters, and sea surface temperature from remote sensing and in situ data. Spatial and temporal analysis of all parameters was conducted by quantitative descriptive method. The results showed that the variability of thermocline layer and the chlorophyll- A distribution were strongly related to seasonal pattern. In most cases, the estimates of thermocline layer and chlorophyll- A concentration using remote sensing algorithm were higher than in situ measured values. The greatest variability occurred in the eastern Banda Sea during the Southeast Monsoon with shallower thermocline layer, more abundance of chlorophyll- A concentration, and lower sea surface temperature.