• 환경영향평가
• /
• 제15권3호
• /
• pp.207-215
• /
• 2006

The purpose of this paper is to analyze the spatial distribution and change of the frequency of Yellow Sand days and to examine their relationship with atmospheric circular characteristics at the surroundings of the Korean peninsula. Yellow Sand days data are used by intensity, Siberian High Index and monthly mean temperature of the Northern Hemisphere. In the Middle-western region, the occurrence frequency of Yellow Sand days was higher during the study period (1973-2004). Also, the occurrence frequency of Yellow Sand days increased to latter half 16 years compared with the first half 16 years, and be clearer in Middlewest regions. Yellow Sand days frequency increased, and the trend was distinct in the Jungbu region during the study period. Increasing trend of Yellow Sand days frequency was significant for the recent 22 years. Yellow Sand days had a negative relationship with Siberian High Index in February and March. Therefore, Siberian High Index became weaker in the spring, and possibility for the occurrence of Yellow Sand days was generating larger. Yellow Sand days had a positive relationship in monthly mean temperature of the Northern Hemisphere. Especially, the case of the strong Yellow Sand days is significant. Recently, global warming might be affecting the occurrence of strong Yellow Sand days.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• 제2권1호
• /
• pp.1-14
• /
• 2021

The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

• 한국환경과학회지
• /
• 제21권12호
• /
• pp.1425-1433
• /
• 2012

Water temperature in the eastern part of the Yellow Sea (EYS) during winter (JFM) and summer (JJA) from 1964 to 2009 and Siberian High Pressure Index (SHI) and Arctic Oscillation index (AOI) during winter (JFM) from 1950 to 2011 were used to analyze long-term variation in oceanic and atmospheric conditions and relationship between winter and summer bottom water temperature. Winter water temperature at 0, 30 and 50 m had fluctuated highly till the late of 1980s, but after this it was relatively stable. The long-term trends in winter water temperature at both depths were separated with cold regime and warm regime on the basis of the late 1980s. Winter water temperature at 0m and 50m during warm regime increased about $0.9^{\circ}C$ and $1.1^{\circ}C$ respectively compared to that during cold regime. Fluctuation pattern in winter water temperature matched well with SHI and AOI The SHI had negative correlation with water temperature at 0 m (r=-0.51) and 50 m (r=-0.58). On the other hand, the AO had positive correlation with Winter water temperature at 0 m (r=0.34) and 50 m (r=0.45). Cyclic fluctuation pattern of winter water temperature had a relation with SHI and AO, in particular two to six-year periodicity were dominant from the early of the 1970s to the early of the 1980s. Before the late of 1980s, change pattern in winter water temperature at 0 and 50 m was similar with that in the bottom water temperature during summer, but after this, relationship between two variables was low.

• Ocean and Polar Research
• /
• 제40권3호
• /
• pp.127-143
• /
• 2018

This study analyzed the influence of climate change on the spawning ground area of the common squid, Todarodes pacificus. To estimate long term changes in the area of the spawning ground of the common squid, water temperature at 50 m deep that can be inferred from sea surface temperature (SST) based on both NOAA/AVHRR (1981.07-2002.12) and MODIS/AQUA (2003.01-2009.12) ocean color data was analyzed. In addition, five climate indices, Arctic Oscillation Index (AO), Siberian High Index (SH), Aleutian Low Pressure Index (ALP), East Asia Winter Monsoon Index (EAWM) and Pacific Decadal Oscillation (PDO) which are the main indicators of climate changes in the northwestern Pacific were used to study the relationship between the magnitude of the estimated spawning ground and climate indices. The area of the estimated spawning ground was highly correlated with the total catch of common squid throughout four decades. The area of the estimated spawning ground was negatively correlated with SH and EAWM. Especially, PDO was negatively correlated with the area of the spawning ground in the northwestern Pacific (r = -0.39) and in the southern part of the East Sea (r = -0.38). There was a positive relationship between the AO and the area of the spawning ground in the northwestern Pacific (r = 0.46) as well as in the southern part of the East Sea (r = 0.32). Temporally, the area of the winter spawning ground in the southern part of the East Sea in the 1980s was smaller than those areas in the 1990s and 2000s, because the area was disconnected with the western coastal spawning ground of Japan in the 1980s, while the area had been made wider and more continuous from the Korea strait to the western coastal water of Honshu in the 1990s and 2000s.

• 한국지역지리학회지
• /
• 제5권1호
• /
• pp.151-162
• /
• 1999

본 연구는 한국에 있어서 초가을의 강수 변동성과 표준화된 편차에 의하여 선정된 소우년과 다우년의 지상 및 500hPa 등압면을 비교 분석한 연구이다. 한국의 초가을의 강수량은 감소하지만 강수변동율은 급격히 증가하여 해에 따른 가을장마전선의 성쇠와 태풍성 강수의 유무를 반영하고 있다. 강수변동율의 지역적 분포는 초가을의 강수량이 많은 동해안과 남동해안 지방은 낮은 반면 남서안이 높아서 서고동저현상을 나타내고 있다. 지상 및 500hPa면의 편차분포에서 소우년은 시베리아 북부 및 하계 북태평양고기압의 중심역이 심한 음편차, 다우년은 소우년과 반대로 이 양 지역이 심한 양편차를 이루어 대조를 이루고 있다. 또한 500hPa면 고도장에서 소우년의 한반도는 깊은 trough의 서쪽에 위치하여 한반도 주변은 동서지수가 낮고 다우년은 약한 trough에 속하여 동서지수가 높아 동서류가 강하며, 소우년은 $40^{\circ}N$ 이북에서는 500hPa면 고도가 낮고 다우년은 높다. 따라서 소우년과 다우년의 출현현상은 북태평양 고기압과 시베리아 고기압 성쇠의 계절적 변동을 반영하고 있음을 확인하였다.

• 대한원격탐사학회지
• /
• 제25권5호
• /
• pp.423-434
• /
• 2009

북극의 환경은 해빙의 변동에 민감하게 반응하며, 해빙(sea-ice)의 증감은 지구 온난화의 지표이기도 하다. 따라서, 지구의 기후변동의 과정을 이해하고 예측하기 위해서는, 북극 해빙의 변동에 대한 지속적인 모니터링이 이루어져야 한다. 이를 위한 방법으로, 1970년대부터 인공위성의 원격탐사방법인 수동마이크로파 센서를 사용해 왔으며, 해빙의 면적과 유형을 판단하는데 효과적이다. 본 논문에서는, 북극 해빙분포의 계절 및 연 변동의 특성을 이해하기 위하여, 북위 60이상의 영역에 대한 2002년 7월부터 2009년 5월까지의 수동마이크로파 센서 AMSR-E 12.5km 해빙농도(SIC)데이터(기존 수동마이크로파 센서보다 5배의 해상도)를 사용하였다. 여름 최저 해빙역 시점의 데이터에 의하면, 북극 해빙면적은 점차 줄어드는 추세를 나타내고 있으며, 그 감소율은 연간 3.1%로 이것은 약 0.2백만$km^2$의 해빙이 줄어들고 있다는 것을 의미한다. 또한 이 경향은 여름철 해수면수온과 기온의 증가와 관련 있는 다년빙(Multi-Hear ice)의 감소와 함께 진행되고 있다는 것이다. 1년빙(First-year ice)의 면적은 최저의 해빙면적을 기록하였던 2007까지 감소하나, 갑작스런 다년빙(Multi-year ice)의 감소는 2008-2009년 기간의 1년빙의 증가로 이어졌다. 계절에 따른 연 변동에 있어서는, 1월-3월기간에 걸처 바렌츠해(Barents Sea)와 래브라도해(Labrador Sea)에서 공간변동이 크고, 8월-10월 기간에는 동시베리아해(East Siberian Sea)에서 북극점에 이르는 범위에서 큰 것으로 나타났다. 7년 동안 녹지 않은 다년빙의 공간분포도에 의하면, 다년빙이 러시아해역의 동시베리아해, 랍데브해(Laptev Sea)와 카라해(Kara Sea)에서 급격하게 감소하고 있어서 가까운 장래에 북동항로(Northeast Passage)의 이용가능성이 커지고 있다.