Estimation of the Annual Primary Production and Sea Surface Nitrate Concentration with Remote Sensing at the Iedo Ocean Research Station

Title
Estimation of the Annual Primary Production and Sea Surface Nitrate Concentration with Remote Sensing at the Iedo Ocean Research Station
Author(s)
이다빈; 주희태; 정진용; 이상헌
KIOST Author(s)
Jeong, Jin Yong(정진용)
Publication Year
2018-10-25
Abstract
The new production of phytoplankton based on nitrate is very important to understand how much portion of primary production passes on to higher trophic levels and sinks into deeper ocean. In this study, inter-annual variation of the annualprimary production and contribution of small-sized phytoplankton were analyzed at the Iedo Ocean Research Station with MODIS-Aqua satellite datasets from 2012 to 2017. Moreover, sea surface nitrate (SSN) concentration was also estimated with satellite datasets. Annual primary production in the study site ranged from 299.0 g C m-2 yr-1 to 328.1 g C m-2 yr-1 during the study period. Contribution of small-sized phytoplankton to the annual primary production ranged from 8.52 % to 10.30 %. The estimation of SSN concentration was performed with a regional empirical algorithm which is based on sea surface temperature (SST) and chlorophyll-a concentration. However, we found some disagreements between satellite-derivedSSN concentrations and in-situ SSN concentrations. Generally, the nutrient concentration in the East China Sea is closely related with the sea surface salinity (SSS) due to the existence of the Changjiang River. It suggests that the algorithm for the SSN concentration in the East China Sea should be considered for the sea surface salinity. An improvement of the SSN algorithm will allow us to estimate annual new production at the Iedo Ocean Research Station.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22966
Bibliographic Citation
2018 한국해양학회 추계학술발표대회, pp.1, 2018
Publisher
한국해양학회
Type
Conference
Language
English
Publisher
한국해양학회
Related Researcher
Research Interests

Variablility of ocean physical environment,해양물리환경변동

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse