국제적 멸종위기종인 산양 암컷(n=6)의 출산시기 행동권 분석을 위해 2007년 3월부터 2014년 5월까지 설악산국립공 원, 월악산국립공원 2지역에서 GPS collar 발신기를 이용하여 연구 수행하였다. 분석결과 출산시기에 따라 행동권의 변화를 확인하였다. MCP 95%에서 봄 1.00±1.00km2 > 가을 0.66±0.30km2 > 여름 0.61±0.40km2 > 겨울 0.50±0.10km2 (F=4.240, p<0.05)로 분석되었으며, 월별분석은 5, 6, 7월에 급격이 행동권이 작아지는 특징을 보였으며, 통계적으로 유의적인 차이를 보였다(F=24.261, p<0.01). 이렇듯 행동권의 급격한 변화를 보인개체들은 새끼를 출산한 개체로 확인 되었고, 행동권이 급격히 작아지는 것을 확인 할 수 있었다. 평균 이용고도는 615.77±173.508m이며 출산개체와 비출산 개체 모두 큰 차이는 없었다. 이러한 분석을 통하여 출산 시기 등을 고려한 개체관리 및 복원에 적용할 수 있을 것으로 판단된다.

본 연구에서는 설악산국립공원에 서식하는 멸종위기종 산양과 서식지의 보전 및 관리를 위해 산양의 분변 및 카메라 트랩을 이용한 개체수와 서식지 이용 분석을 2010~2014년 동안 수행하였으며 생태학적 조사 방법(흔적조사, 카메라트 랩조사)을 사용하였다. 분변 조사와 카메라트랩핑 분석 결과 각각 166개체 및 251개체의 산양이 설악산국립공원에 서식하고 있는 것으로 나타났다. 흔적조사(분변)를 통한 서식지 이용 특성 분석에서 산양은 경사도 35°~60°, 고도 600~700m, 향 북동, 수계와의 거리 0~50m, 도로와의 거리 300~600m, 활엽수림을 가장 선호하는 것으로 나타났다. 카메라트랩 조사를 통한 산양 개체군 구성, 주간(07-18시)이 56.5%, 야간(18-07시)이 43.5%로 산양의 활동성을 파악하 였다. 이러한 산양의 개체수와 서식지 이용 특성 분석은 향후 그들이 살아가는 서식지의 보전과 서식지의 관리를 위한 중요한 기초 자료로 활용될 수 있을 것이다.

This study aimed to analyze characteristics of the seasonal habitat use of reintroduced Long-tailed Gorals (n=7) in Woraksan (mountain) National Park. We collected 10,721 goral coordinates in Woraksan (mountain) National Park via transmitters, and analyzed habitat use (e.g., aspect, distance from stream and road) from November 2006 to January 2013. Aspect use was southwest (22.6 %), and seasonal aspect use had a southwestern slope (in the spring, summer, and autumn). A northwestern aspect was detected in winter, but slope of 30°∼35° (19.0 %) was used regardless of the season and mean elevation use was 500 m. Moreover, seasonal use was higher in the summer and lower in the winter and spring. The distance from the stream was mainly 50 m in 17.2 %, except in the winter (distance of 300 m), and it was within 50 m in the spring, summer, and autumn. The distance from the road was 100 m in 25.7 %, and seasonal use was within 100 m except for the winter. Thus, we examined significant differences in the habitat use of reintroduced gorals in Woraksan (mountain), and provide elementary data for habitat stabilization of Woraksan (mountain) National Park where goral restoration has advanced.

Halo coronal mass ejections (CMEs) originating from solar activities give rise to geomagnetic storms when they reach the Earth. Variations in the geomagnetic field during a geomagnetic storm can damage satellites, communication systems, electrical power grids, and power systems, and induce currents. Therefore, automated techniques for detecting and analyzing halo CMEs have been eliciting increasing attention for the monitoring and prediction of the space weather environment. In this study, we developed an algorithm to sense and detect halo CMEs using large angle and spectrometric coronagraph (LASCO) C3 coronagraph images from the solar and heliospheric observatory (SOHO) satellite. In addition, we developed an image processing technique to derive the morphological and dynamical characteristics of halo CMEs, namely, the source location, width, actual CME speed, and arrival time at a 21.5 solar radius. The proposed halo CME automatic analysis model was validated using a model of the past three halo CME events. As a result, a solar event that occurred at 03:38 UT on Mar. 23, 2014 was predicted to arrive at Earth at 23:00 UT on Mar. 25, whereas the actual arrival time was at 04:30 UT on Mar. 26, which is a difference of 5 hr and 30 min. In addition, a solar event that occurred at 12:55 UT on Apr. 18, 2014 was estimated to arrive at Earth at 16:00 UT on Apr. 20, which is 4 hr ahead of the actual arrival time of 20:00 UT on the same day. However, the estimation error was reduced significantly compared to the ENLIL model. As a further study, the model will be applied to many more events for validation and testing, and after such tests are completed, on-line service will be provided at the Korean Space Weather Center to detect halo CMEs and derive the model parameters.

Coronal Mass Ejections (CME), which originate from active regions of the Sun’s surface, e.g., sunspots, result in geomagnetic storms on Earth. The variation of the Earth’s geomagnetic field during such storms induces surface currents that could cause breakdowns in electricity power grids. Hence, it is essential to both monitor Geomagnetically Induced Currents (GICs) in real time and analyze previous GIC data. In 2012, in order to monitor the variation of GICs, the Korean Space Weather Center (KSWC) installed an induced current measurement system at SINGAPYEONG Substation, which is equipped with 765 kV extra-high-voltage transformers. Furthermore, in 2014, two induced current measurement systems were installed on the 345 kV high-voltage transformers at the MIGEUM and SINPOCHEON substations. This paper reports the installation process of the induced current measurement systems at these three substations. Furthermore, it presents the results of both an analysis performed using GIC data measured at the SINGAPYEONG Substation during periods of geomagnetic storms from July 2013 through April 2015 and the comparison between the obtained GIC data and magnetic field variation (dH/dt) data measured at the Icheon geomagnetic observatory.