DEVELOPMENT OF A BLUE TIDE ESTIMATION METHOD BASED ON OPTICAL PROPERTIES OF SULFUR BY GEOSTATIONARY OCEAN COLOR SATELLITE

Abstract

 In this study, we developed a sulfur estimation model for blue tide distributions using geostationary ocean color imager (GOCI) data. In order to develop the sulfur estimation model, Rrs with blue tides, and light absorption coefficient and backscattering coefficient of sulfur particles were figured out by conducting field observations in Tokyo Bay and laboratory experiments. Based on the measured sulfur optical properties, we developed a bio-optical model which was incorporated sulfur as a variable and then Rrs with fluctuation of sulfur concentrations could be calculated. A sulfur estimation model based on QAA_v6 improved by the results of the calculated Rrs of blue tides was developed. Compared to the estimated sulfur by GOCI data with the measured sulfur, it was possible to estimate sulfur concentrations with high accuracy when the difference between satellite data acquisition time and stating time of sampling in the field was small. Furthermore, it was captured that spatial distributions of sulfur concentration have changed with every 1-hour interval with the change of wind condition.