Monitoring of chlorophyll-a and sea surface silicate concentrations in the south part of Cheju island in the East China sea using MODIS data
Autor: | Tingchen Jiang, Jin Yeu Tsou, X. San Liang, Dongyang Fu, Yuanzhi Zhang, Zhaojun Huang, Xia Lu |
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Rok vydání: | 2018 |
Předmět: |
Global and Planetary Change
Chlorophyll a geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences 0211 other engineering and technologies 02 engineering and technology Management Monitoring Policy and Law Spring bloom Atmospheric sciences 01 natural sciences Silicate chemistry.chemical_compound Sea surface temperature Nutrient chemistry Phytoplankton Spring (hydrology) Environmental science Water quality Computers in Earth Sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences Earth-Surface Processes |
Zdroj: | International Journal of Applied Earth Observation and Geoinformation. 67:173-178 |
ISSN: | 1569-8432 |
Popis: | Continually supplied with nutrients, phytoplankton maintains high productivity under ideal illumination and temperature conditions. Data in the south part of Cheju Island in the East China Sea (ECS), which has experienced a spring bloom since the 2000s, were acquired during a research cruise in the spring of 2007. Compared with in-situ measurements, MODIS chlorophyll-a measurements showed high stability in this area. Excluding some invalid stations data, the relationships between nutrients and chlorophyll-a concentrations in the study area were examined and compared with the results in 2015. A high positive correlation between silicate and chlorophyll-a concentration was identified, and a regression relationship was proposed. MODIS chlorophyll-a measurements and sea surface temperature were utilized to determine surface silicate distribution. The silicate concentration retrieved from MODIS exhibited good agreement with in-situ measurements with R2 of 0.803, root mean square error (RMSE) of 0.326 μmol/L (8.23%), and mean absolute error (MAE) of 0.925 μmol/L (23.38%). The study provides a new solution to identify nutrient distributions using satellite data such as MODIS for water bodies, but the method still needs to be refined to determine the relationship of chlorophyll-a and nutrients during other seasons to monitor water quality in this and other areas. |
Databáze: | OpenAIRE |
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