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| Titel |
Analysis on the relationship between suspended sediments and relating factors using satellite data in coastal area |
| VerfasserIn |
Jinah Eom, Jong-Kuk Choi, David Doxaran, Kevin Ruddick |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250094358
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| Publikation (Nr.) |
 EGU/EGU2014-9762.pdf |
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| Zusammenfassung |
| Suspended Sediments (SS) in coastal waters have high concentrations due to terrestrial inputs
and resuspension of the bottom sediment. For monitoring of dynamic variations in SS
concentration, researchers have employed the ocean color satellite images such as MODIS,
SeaWiFS and MERIS. However, the satellite images had difficulties in monitoring
dynamic variation in SS due to the low temporal resolutions. GOCI, the world’s first
geostationary satellite ocean color sensor, was launched on June 27, 2010. It provides
eight daytime images at hourly interval with 500 m of spatial resolution. On the
other hand, Landsat ETM+ image, although it is not an ocean color image, has high
spatial resolution, which can supplement the disadvantage of GOCI. In this study,
we analyzed the variations in SS concentration in coastal waters using GOCI and
Landsat ETM+ images in Gyeonggi-bay, Korea. We also analyzed the relationship
between SS and environmental factors such as water depth, tidal cycle and river
discharge.
As a result, GOCI could detect the diurnal variability of SS in coastal area according to
the tide, and GOCI-derived SS concentration gradually increased after flood time. Landsat
ETM+ images could observe the seasonal variations in SS, and SS concentration in summer
season shows lower value than winter season. SS concentration in shallow waters had higher
value than deep area and wind speed influences the seasonal variation in SS concentrations in
the study area. Variations in SS concentration near the coast were strongly influenced
by the tidal cycle. In the future, we need to analyse the relationship between SS
concentration and tidal flat erosion/deposition based upon SS concentration movement
and current velocity combined with numerical models and in situ measurements. |
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