• 한국지구과학회지
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• 제33권3호
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• pp.269-279
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• 2012

동아시아에서 대기 에어로졸의 광역적 분포를 분석하기 위해 MODIS (Moderate Resolution Imaging Spectrometer) 센서에서 산출된 AOD (Aerosol Optical Depth)와 AE (${\AA}$ngstr$\ddot{o}$m Exponent)를 이용하였다. 2009년 동아시아 지역에서 AOD는 3월($0.44{\pm}0.25$)에 높았고, 9월($0.24{\pm}0.21$)에 낮았다. 봄에는 중국 북부와 몽골의 사막, 건조지역에서 발생한 모래폭풍이 광역적으로 이동하여 동아시아의 AOD에 기여하고 있다. 그러나 동아시아의 풍하측에 위치한 한반도 중부의 안면도, 청원, 울릉도에서 $PM_{10}$ ($d{\leq}10{\mu}m$) 질량 농도는 2월에 최고를 보인 반면, AOD는 5월에 가장 높았다. 장마 전 상대습도의 증가에 따른 흡습성 에어로졸의 성장이 5월의 높은 AOD에 기여하고 있다. 여름(8월)에는 북태평양으로부터 해양성 기류와 잦은 강수에 의한 습윤 침전으로 AOD는 낮지만 중국 동부의 산업지역에서 광역적으로 발생한 미세 에어로졸로 인해 AE ($1.30{\pm}0.37$)가 가장 높은 값을 보였다. 안면도, 청원, 울릉도에서 MODIS AOD와 지상 $PM_{10}$ 질량 농도의 상관계수는 0.4-0.6이었다. 2009년 한반도 중부에서 관측한 황사 사례는 4회(6일)였고, 인위적 대기오염 이동 사례는 6회(12일)였다. 황사 사례와 인위적 대기오염의 이동 사례에서 안면도와 청원의 $PM_{10}$ 농도가 모두 증가하였다. 황사와 인위적 대기오염 이동으로 $PM_{10}$이 증가하는 영역에서 AOD가 높게 나타나고 있다.

• Ocean and Polar Research
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• 제43권4호
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• pp.229-243
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• 2021

Quality control (QC) to process observed time series has become more critical as the types and amount of observed data have increased along with the development of ocean observing sensors and communication technology. International ocean observing institutions have developed and operated automatic QC procedures for these observed time series. In this study, the performance of automated QC procedures proposed by U.S. IOOS (Integrated Ocean Observing System), NDBC (National Data Buy Center), and OOI (Ocean Observatory Initiative) were evaluated for observed time-series particularly from the Yellow and East China Seas by taking advantage of a confusion matrix. We focused on detecting additive outliers (AO) and temporary change outliers (TCO) based on ocean temperature observation from the Ieodo Ocean Research Station (I-ORS) in 2013. Our results present that the IOOS variability check procedure tends to classify normal data as AO or TCO. The NDBC variability check tracks outliers well but also tends to classify a lot of normal data as abnormal, particularly in the case of rapidly fluctuating time-series. The OOI procedure seems to detect the AO and TCO most effectively and the rate of classifying normal data as abnormal is also the lowest among the international checks. However, all three checks need additional scrutiny because they often fail to classify outliers when intermittent observations are performed or as a result of systematic errors, as well as tending to classify normal data as outliers in the case where there is abrupt change in the observed data due to a sensor being located within a sharp boundary between two water masses, which is a common feature in shallow water observations. Therefore, this study underlines the necessity of developing a new QC algorithm for time-series occurring in a shallow sea.

• 수산해양기술연구
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• 제29권4호
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• pp.247-259
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• 1993

The fishing experiment was carried out by the training ship Saebada in order to analyse the mesh selectivity for trawl cod-end, in the Southern Korea Sea and the East China Sea from June. 1991 through August, 1992. The trawl cod-end used in this experiment has the trouser type of cod-end with cover net. and the mesh selectivity was examined for the five kinds of the opening of mesh in its cod-end part. A total of 163 hauls, of which having mesh size 51.2mm ; A 89, 70.2mm ; B 54, 77.6mm ; C 55, 88.0mm ; D 52 and 111.3mm ; E 20 were used respectively. Selection curves and selection parameters were calculated by using a logistic function, S=1/(1+exp super(-(aL+b)) ). The mesh election master curves were estimated by S=1/(1+exp super(-[a(L/M)+$\beta$]) ). and the optimum mesh size were calculated with (L/M) sub(50) of master curve. In these cases 'a' and '$\alpha$' are slope, 'b' and '$\beta$' are intercept. 'L' is body length of the target species of fishes, 'M' is the mesh size, and 'S' denotes mesh selectivity. In this report, the four species of compressed form fishes were taken analized according to fish shape, and 'S' denotes mesh selectivity. In this report, the four species of compressed form fishes were taken analized according to fish shape, and the results obtained are summarized as follows: 1. Red seabream Pagrus major(Temminct et Schlegel) and yellow porgy Dentex tumifrons(Temminct et Schlegel) ; Selection rate in each mesh size of A, B, C, D and E were 99.7%, 97.5%, 91.4%, 76.7% and 57.8% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 2.65 and -28.62, 4.40 and -77.73, 2.31 and -46.99, and their selection factors were 1.39, 2.10, 1.83 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.05 and -5.65 respectively, and (L/M) sub(50) was 1.85. The optimum mesh size of Red seabream was 141mm. 2. Filefish Thamnaconus modestus (Gunther) ; Selection rate in each mesh size of A, B, C, D and E were 99.6%, 98.3%, 91.2%, 80.0% and 48.6% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 5.82 and -55.10, 2.92 and -36.90, 3.91 and -63.09, and their selection factors were 1.35, 1.44, 1.45 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.02 and -4.32 respectively, and (L/M) sub(50) was 1.43. The optimum mesh size was 129mm. 3. Target dory Zeus faber Valenciennes ; Selection rate in each mesh size of A, B, C, D and E were 99.7%, 100%, 83.2%, 91.6% and 65.0% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 3.85 and -32.46, 4.19 and -57.38, 2.45 and -40.03, and their selection factors were 1.09, 1.56, 1.47 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 2.64 and -3.53 respectively, and (L/M) sub(50) was 1.34. The optimum mesh size was 127mm. 4. Butterfish Psenopsis anomala (Temminct et Schlegel) ; Selection rate in each mesh size of A, B, C, D and E were 99.2%, 34.1%, 46.5%, 14.3% and 2.4% respectively. Selection parameters 'a' and 'b' of mesh sizes B, C and D were 5.35 and -71.70, 5.07 and -69.25, 3.31 and -62.06 and their selection factors were 1.91, 1.75, 2.13 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.16 and -6.24 respectively, and (L/M) sub(50) was 1.98. The optimum mesh size was 71mm.

• 한국지구과학회지
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• 제28권2호
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• pp.187-201
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• 2007

한반도에서는 처음으로 동해안으로부터 서해안까지 한반도를 횡단하는 측선을 따라 자기지전류 탐사를 수행하였다. 한반도의 주된 지구조 방향인 지나방향$(N30^{\circ}E)$에 수직하게 설정된 240 km 측선을 따라 $3{\sim}8km$의 측점 간격으로 50 측점에서 자료를 획득하였다. MT 임피던스는 지역에 따라 뚜렷이 구분되는 반응이 나타나며 경기육괴, 옥천대, 경상분지 서쪽 지역, 경상분지 동쪽지역에서 각기 다른 경향의 반응을 보인다. 경상분지 서쪽 지역에서는 수백 ohm-m의 전기비저항과 $3{\sim}8km$의 두께를 가지는 퇴적층이 존재하며, 퇴적층 하부에서 $1{\sim}30$ ohm-m의 매우 낮은 전기비저항을 가지는 고전도층이 발견되었다. 옥천대에서의 자료는 위상이 $90^{\circ}$를 초과하는 매우 특이한 반응을 보이고 있으며 이러한 특이성은 매우 강한 이방성 매질의 영향에 기인하는 것으로 추정된다. 경기 육괴와 경상분지 동쪽 지역은 상부지각을 구성하는 매질이 비교적 높은 전기비저항을 가지는 매질로 이루어져있기 때문에 심부 지전기 구조를 들여다 볼 수 있는 창의 역할을 한다. 1차원 모델을 적용하였을 때 경기육괴의 경우 13 km, 경상분지 동쪽지역의 경우 18 km 두께를 가지는 층이 존재하는데 이 층이 상부지각에 해당하는 것으로 생각된다.