천수만과 태안해역의 제한영양염을 평가하기 위해 장기자료 분석과 생물검정실험을 진행하였다. 우선 잠재적인 제한영양염을 평가하기 위해 국가수질측정망에서 제공되는 2004~2016년 동안의 장기 영양염 자료를 이용하였다. 장기자료의 DIN/DIP를 분석한 결과 대 부분 16이하로 N 제한이 우세하였지만 N, P, Si의 농도비를 이용한 분석에서는 하계와 추계에는 N 제한이 우세하였고, 동계와 춘계에는 해역에 따라 일부 Si 제한을 보이거나 또는 제한이 나타나지 않았다. 생물검정실험 시 채집된 현장수의 영양염 분석결과, DIN/DIP는 3월 과 5월에 모든 정점에서 P 제한을 나타냈고, 7월과 10월에는 N 제한이 우세하였다. N, P, Si의 농도비를 이용한 분석에서 3월과 5월은 P와 Si 제한을 보이거나 제한영양염이 나타나지 않은 정점이 존재하였으나 7월과 10월에는 N 제한이 우세하였다. 실질적인 제한영양염을 평 가하기 위해 수행된 생물검정실험 결과 3월에는 특정 제한영양염이 나타나지 않았으나, 5월, 7월 10월에는 NH4 +와 NO3 -가 반응을 보임으 로서 이 시기에는 N이 식물플랑크톤 성장에 직접 관여하는 실질적인 제한영양염임을 확인하였다.

In the shallow coastal area, located off the northwestern Taean Peninsula of the eastern Yellow Sea, geoacoustic models with two layers were reconstructed for underwater acoustic experimentation and modeling. The Yellow Sea experienced glacio-eustasy sea-level fluctuations during Quaternary period. Coastal sedimentation in the Yellow Sea was characterized by alternating terrestrial and shallow marine deposits that reflected the fluctuating sea levels. The coastal geoacoustic models were based on data from piston, grab cores and the high-resolution 3.5 kHz, chirp seismic profiles (about 70 line-kilometers, respectively). Geoacoustic data of the cores were extrapolated down to 3 m in depth for geoacoustic models. The geoacoustic property of seafloor sediments is considered a key parameter for modeling underwater acoustic environments. For simulating actual underwater environments, the P-wave speed of the models was adjusted to in-situ depth below the sea floor using the Hamilton method. The proposed geoacoustic models could be used for submarine acoustic inversion and modeling in shallow-water environments of the study area.

In analyzing the inundation area attributed to the sea level brought about by climate change, previous researchers derived a different inundation area from the actual one by applying a uniform sea level rise without taking into account the regional mean sea level. This study has attempted to analyze the inundation area by devising a sea-level rise scenario that considers the regional mean sea level of the study area. In addition, a comparative analysis was conducted on the area of inundation vulnerabilities between the sea level rise scenario that takes into account the regional mean sea level and one that does not. As a result of study, an error between the actual mean sea level and topographic elevation was corrected by using the height of the tide observation data of the area. Next, a total of nine scenarios on the sea level rise of the Taean region (SLR-T 1.1~SLR-T 3.3) were devised using the IPCC SRES scenario, RCP 8.5 scenario, height of the tide data and storm surge height, among others. Finally, the results showed that the inundation area by scenario was at least 4.17km2(SLR-T 1.1) up to 168.41km2(SLR-T 3.3), which was about 45% less than that of the scenario devised without considering the mean sea level that reflects the regional differences. In other words, results of the analysis on the inundation area using conventional methods turned out to be wider than that of the actual inundation area.