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Application of Synthetic Aperture Radar to Coastal Oceanic Phenomena in the Seas around Korea : 한반도 주변해 연안 해양현상에 대한 합성개구레이더 활용

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dc.contributor.advisor박경애-
dc.contributor.authorTae-Sung Kim-
dc.date.accessioned2017-07-19T06:22:18Z-
dc.date.available2017-07-19T06:22:18Z-
dc.date.issued2016-08-
dc.identifier.other000000136800-
dc.identifier.urihttps://hdl.handle.net/10371/129665-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 과학교육과 (지구과학전공), 2016. 8. 박경애.-
dc.description.abstractIn this thesis, the applicability of synthetic aperture radar (SAR) to interpretation of oceanic phenomena at the coastal regions around Korea peninsula is presented. For that, the spatial and temporal variations of SAR-derived coastal wind fields and evolution of disastrous oil spills on SAR images were analyzed in relation to atmospheric and oceanic environmental factors using in-situ measurement and satellite observations.
The SAR wind fields retrieved from the east coast of Korea in August 2007 during the upwelling period revealed a spatial distinction between near and offshore regions. Low wind speeds were associated with cold water regions with dominant coastal upwelling. Time series of in-situ measurements of both wind speed and water temperature indicated that the upwelling was induced by the wind field. SAR data at the present upwelling region showed a relatively large backscattering attenuation to SST ratio of 1.2 dB ºC−1 compared the known dependence of the water viscosity on the radar backscattering. In addition, wind speed magnitude showed a positive correlation with the difference between SST and air temperature. It implies that the low wind field from SAR was mainly induced by changes in atmospheric stability due to air-sea temperature differences.
Oil spills at the Hebei Spirit accident off the coast of Korea in the Yellow Sea were identified using SAR data and their evolution was investigated. To quantitatively analyze the spatial and temporal variations of oil spills, objective detection methods based on adaptive thresholding and a neural network were applied. Prior to applying, the results from two methods were compared for verification. It showed good agreement enough for the estimation of the extent of oil patches and their trajectories, with the exception of negligible errors at the boundaries. Quantitative analyses presented that the detected oil slicks moved southeastward, corresponding to the prevailing wind and tidal currents, and gradually dissipated during the spill, except for an extraordinary rapid decrease in onshore regions at the initial stage. It was identified that the initial dissipation of the spilt oil was induced by strong tidal mixing in the tidal front zone from comparison with the tidal mixing index. The spatial and temporal variations of the oil slicks confirmed the influence of atmospheric and oceanic environmental factors. The overall horizontal migration of the oil spills detected from consecutive SAR images was mainly driven by Ekman drift during the winter monsoon rather than the tidal residual current.
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dc.description.tableofcontentsChapter 1. Introduction 1
1.1. Study Background 1
1.2. Objectives of the Thesis 14

Chapter 2. Data Description 15
2.1. SAR Data 15
2.2. Other Satellite Data 21
2.2.1. Wind Data 21
2.2.2. Sea Surface Temperature Data 21
2.2.3. Ocean Color Data 22
2.3. Reanalysis Data 23
2.4. In-situ Measurements 23
2.5. Land Masking Data 26
2.6. Tidal Current Data 28

Chapter 3. Methods 29
3.1. SAR Wind Retrieval 29
3.2. Noise Reduction of ScanSAR Images 37
3.3. Conversion of Wind Speed to Neutral Wind 41
3.4. Estimation of Index of the Tidal Front 43
3.5. Estimation of Ekman Drift and Tidal Residual Current 45
3.6. Feature Detection Methods 46
3.6.1. Adaptive Threshold Method 47
3.6.2. Bimodal Histogram Method 50
3.6.3. Neural Network Method 54

Chapter 4. Coastal Wind Fields and Upwelling Response 58
4.1. Variations of Wind Fields during Coastal Upwelling 58
4.2. Stability Effect on Wind Speed 65
4.3. Biological Impact of Upwelling 70

Chapter 5. Characteristics of Objective Feature Detection 74
5.1. Comparison of Thresholding Methods 74
5.2. Oil Spill of the Hebei Spirit by Thresholding Method 81
5.3. Oil Spill by the Hebei Spirit by Neural Network Method 85
5.4. Differences by Detection Methods 88

Chapter 6. Evolution of Oil Spill at the Coastal Region 90
6.1. Temporal Evolution of the Hebei Spirit Oil Spill 90
6.2. Effect of Artificial Factor on the Evolution 96

Chapter 7. Effect of Environmental Factors on the Oil Spill 98
7.1. Effect of Tidal Mixing 98
7.2. Effect of Wind and Tidal Current 103

Chapter 8. Summary and Conclusion 110

Reference 114

Abstract in Korean 142
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dc.formatapplication/pdf-
dc.format.extent23047222 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectSAR-
dc.subjectwind-
dc.subjectupwelling-
dc.subjectstability effect-
dc.subjectoil spill-
dc.subjectHebei Spirit-
dc.subjectneural network-
dc.subjecttidal current-
dc.subjectEkman drift-
dc.subject.ddc507-
dc.titleApplication of Synthetic Aperture Radar to Coastal Oceanic Phenomena in the Seas around Korea-
dc.title.alternative한반도 주변해 연안 해양현상에 대한 합성개구레이더 활용-
dc.typeThesis-
dc.description.degreeDoctor-
dc.citation.pages142-
dc.contributor.affiliation사범대학 과학교육과-
dc.date.awarded2016-08-
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