• 제목/요약/키워드: earth system science

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기후변화와 관련된 과학영재들의 지구시스템 사고 특성 (The Characteristics of Earth System Thinking of Science Gifted Students in relation to Climate Changes)

  • 박경진;정덕호
    • 영재교육연구
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    • 제24권2호
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    • pp.271-288
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    • 2014
  • 이 연구는 기후변화와 관련된 미래문제해결 과정에서 나타난 과학영재들의 지구시스템 사고와 관련된 인식을 알아보기 위한 것이다. 이를 위하여 문헌 연구를 통해 미래의 기후변화와 관련된 문제를 개발한 후 37명의 과학영재를 대상으로 수업을 실시하였다. 이 과정에서 산출된 과학영재의 해결 아이디어를 언어네트워크분석을 이용하여 분석하였다. 분석 결과 과학영재들은 주어진 문제에 대해 '물 층으로 인한 햇빛의 양 변화, 지구의 온도 변화, 기압의 변화, 바람 및 날씨 변화'순의 개념 연결을 주로 보이고 있었다. 한편 미래문제해결에 대한 지구시스템 사고와 관련하여 과학영재들은 대기권에 대한 하위요소를 가장 많이 사용하였으며, 생물권, 지권, 수권 요소는 상대적으로 적게 사용하였다. 그러나 지구시스템 관련 하위요소 사이의 구조적 관계를 분석해 본 결과 생물권, 지권, 수권 관련 요소가 네트워크 구조에서 중요한 역할을 수행하고 있었다. 이를 통해 과학영재들은 기후변화로 인해 지구시스템 관련 요소가 서로 영향을 미칠 수 있다는 것을 잘 이해하고 있다는 것을 알 수 있다.

Visualization System for Earth Environmental Data Base

  • Ikoma, Eiji;Kitsuregawa, Masaru
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.280.1-285
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    • 1998
  • The earth's environmental problems have attracted serious attention worldwide. Various kinds of environmental data, such as remote sensing data, have become available for examining. Although this data is crucial to understanding such problems, there has become an over-abundance in variety of size, format, and filetype which makes it difficult for researchers to handle. We feel that earth environmental researchers should not be burdened by such cumbersome tasks. Therefore, we are developing a digital library for earth environmental information and a VRML based data visualization system for it. Even now, content-based image retrieval systems have many problems attributed to the degree of difficulty in implementing them. Thus, we are trying to visualize this data so that researchers can utilize it more efficiently, effectively, and easily. A great advantage for VRML users is that people can see environmental data from any perspective above the earth and with any resolution easily. Also by using MPEG-movie, users can observe the changes of data drawn from time series files.

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Performance of Continuous-wave Coherent Doppler Lidar for Wind Measurement

  • Jiang, Shan;Sun, Dongsong;Han, Yuli;Han, Fei;Zhou, Anran;Zheng, Jun
    • Current Optics and Photonics
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    • 제3권5호
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    • pp.466-472
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    • 2019
  • A system for continuous-wave coherent Doppler lidar (CW lidar), made up of all-fiber structures and a coaxial transmission telescope, was set up for wind measurement in Hefei (31.84 N, 117.27 E), Anhui province of China. The lidar uses a fiber laser as a light source at a wavelength of $1.55{\mu}m$, and focuses the laser beam on a location 80 m away from the telescope. Using the CW lidar, radial wind measurement was carried out. Subsequently, the spectra of the atmospheric backscattered signal were analyzed. We tested the noise and obtained the lower limit of wind velocity as 0.721 m/s, through the Rayleigh criterion. According to the number of Doppler peaks in the radial wind spectrum, a classification retrieval algorithm (CRA) combining a Gaussian fitting algorithm and a spectral centroid algorithm is designed to estimate wind velocity. Compared to calibrated pulsed coherent wind lidar, the correlation coefficient for the wind velocity is 0.979, with a standard deviation of 0.103 m/s. The results show that CW lidar offers satisfactory performance and the potential for application in wind measurement.

APPLICATION OF SIR-C DATA FOR EXPLORATION OF MINERALIZEDD ZONES (HWANGGANG-Rl, KOREA)

  • Jiang, Wei W.;Park, S.W.;Park, Jeong-Ho;Lee, Cahng-Won;Kim, Duk-Jin;So, Byung-Han;So, C. S.;Moon, Wooil M.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.158-164
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    • 1999
  • This paper investigated and evaluated the NASA's Shuttle Imaging Radar-C (SIR-C) multiple frequency SAR data for differential backscattering effects of microwave from the surface geological materials overlying the skarn type mineralization. Although an integrated approach in mineral exploration is more cost effective and is well in use, there are still many technical and scientific issues to be further investigated and researched. In this study we have reprocessed several sets of previously surveyed exploration data and experimented with fuzzy logic digital fusion of the preprocessed data with respect to chosen exploration targets. Among the numerous fuzzy logic operators, which are currently available for a data driven integrated exploration strategy, we used varying combinations of fuzzy MIN, fuzzy MAX, and fuzzy SUM operators along with Gamma operator for fusion of exploration data, including the contact metamorphic zone information. The final exploration target tested was a skarn type W-Mo-F mineralization in the study area. The fuzzy logic derived mineral potential anomaly almost exactly matched the differential backscattering anomalies on the C-band and L-band SIR_C data when overlaid on each other. Although this high degree of correlation between these two data sets is remarkable, the differential backscattering anomaly over the skarn type W-Mo-F mineralization in the study area requires further investigation.

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A Remote Sensed Data Combined Method for Sea Fog Detection

  • Heo, Ki-Young;Kim, Jae-Hwan;Shim, Jae-Seol;Ha, Kyung-Ja;Suh, Ae-Sook;Oh, Hyun-Mi;Min, Se-Yun
    • 대한원격탐사학회지
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    • 제24권1호
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    • pp.1-16
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    • 2008
  • Steam and advection fogs are frequently observed in the Yellow Sea from March to July except for May. This study uses remote sensing (RS) data for the monitoring of sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided a valuable information for the occurrence of steam and advection fogs as a ground truth. The RS data used in this study were GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog. The results showed that DCD, texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind data was used to provide the wind speed criteria for a fog event. The laplacian computation was designed for a measurement of the homogeneity. A new combined method, which includes DCD, QuikSCAT wind speed and laplacian computation, was applied to the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and laplacian are -2.0 K, $8m\;s^{-1}$ and 0.1, respectively. The validation results showed that the new combined method slightly improves the detection of sea fog compared to DCD method: improvements of the new combined method are $5{\sim}6%$ increases in the Heidke skill score, 10% decreases in the probability of false detection, and $30{\sim}40%$ increases in the odd ratio.

Star Visibility Analysis for a Low Earth Orbit Satellite

  • Yim, Jo-Ryeong;Lee, Seon-Ho;Yong, Ki-Lyuk
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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    • pp.28.2-28.2
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    • 2008
  • Recently, star sensors have been successfully used as main attitude sensors for attitude control in many satellites. This research presents the star visibility analysis for star trackers and the goal of this analysis is to make sure that the star tracker implementation is suitable to the mission profile and scenario and satisfies the requirement of attitude orbit control system. As a main optical attitude sensor imaging stars, accomodations of a star tracker should be optimized in order to improve the probability of the usage by avoiding the blinding (the unavailability) by the Sun and the Earth. For the analysis, a statistical approach and a time simulation approach are used. The statistical approach is based on the generation of numerous cases, to derive relevant statistics about Earth and Sun proximity probabilites for different lines of sight. The time simulation approach is performed for one orbit to check the statistical result and to refine the statistical result and accomodations of star trackers. In order to perform simulations first of all, an orbit and specific mission profiles of a satellite are set, next the earth proximity probability and the sun proximity probability are calculated by considering the attitude maneuvers and the geometry of the orbit, and then finally the unavailability positions are estimated. As a result, the optimized accomodations of two star trackers are suggested for the low earth orbit satellite.

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부산 하수처리장에서 공정별 용존 희토류 원소의 농도 및 인위적 기원 가돌리늄의 배출량 평가 (Assessments of Dissolved Rare Earth Elements and Anthropogenic Gadolinium Concentrations in Different Processes of Wastewater Treatment Plant in Busan, Korea)

  • 임이진;류종식;이준엽;이준호;조형미;김태진
    • 한국지구과학회지
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    • 제43권2호
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    • pp.303-311
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    • 2022
  • 자기공명영상(MRI) 장비의 조영제로 흔히 사용되는 가돌리늄(Gd)은 매우 안정된 상태로 하수처리과정에서 거의 제거되지 않고 수환경으로 유입된다고 알려져 있다. 따라서 본 연구에서는 세 가지의 공법으로 하수처리를 하는 부산 수영 하수처리장에서 채취한 하수 시료의 공정별 용존 희토류 원소의 제거율 및 수환경으로 배출되는 인위적 기원 Gd(Gdanth)의 배출량을 평가하고자 하였다. 용존 희토류 원소는 공정별 처리 단계에 따라 무거운 희토류 원소(Tb-Lu)에 비해 가벼운 희토류 원소(La-Eu)에서 농도가 감소하는 경향을 보였다. 또한 일부 시료에서 나타난 음의(negative) Sm anomaly (<1)는 생물학적 제거 과정에서 Sm이 입자나 인산염과 흡착되어 함께 제거되었을 가능성을 시사한다. 모든 시료에서 양의(positive) Gd anomaly (149±50, n=9)를 보였으며, 공정별로 측정된 Gd의 총 농도 중 Gdanth은 약 97% 이상을 차지하는 것으로 나타났다. 이는 하수처리과정에서 Gdanth 이 거의 제거되지 않고 수영강 하류로 배출된다는 것을 의미한다. 일별 처리용량을 고려하여 각 공정에서 배출되는 Gdanth의 배출량은 259 mmol/day로 추정할 수 있다. 본 연구의 결과는 하수처리장을 통해 수영만 연안으로 Gdanth이 지속적으로 배출될 것으로 예상되며, 향후 Gd의 중장기적인 관측이 필요함을 시사한다.

산불위험지수 지역최적화를 통한 2022년 북한산불 사례분석 (Regional Optimization of Forest Fire Danger Index (FFDI) and its Application to 2022 North Korea Wildfires)

  • 윤유정;김서연;최소연;박강현;강종구;김근아;권춘근;서경원;이양원
    • 대한원격탐사학회지
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    • 제38권6_3호
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    • pp.1847-1859
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    • 2022
  • 북한에서 발생한 산불은 비무장지대 등으로 남하하는 경우 우리나라에 직·간접적인 영향을 줄 수 있다. 이에 본 연구는 정보 접근불능 지역인 북한의 산불위험정보를 획득하기 위하여 Local Data Assimilation and Prediction System (LDAPS) 기상자료 기반의 지역 최적화된 산불위험지수 Forest Fire Danger Index (FFDI)를 산출하고, 2022년 4월 북한 고성군과 철원군의 산불 사례에 적용하였다. 그 결과 발화일 당시 FFDI가 각각 위험등급 Extreme과 Severe 구간에 해당하여 적합성을 확인하였다. 또한 산불 발생 전후의 위험도지도와 토양수분지도를 정성적으로 비교한 결과 상호 관계성을 파악하였으며, 향후 토양수분, 표준화강수지수(Standardized Precipitation Index, SPI), 식생수분지수(Normalized Difference Water Index, NDWI) 등을 결합하는 방식으로 산불발생위험지수의 개선이 필요하다.

기상 및 기후의 수치예측에 대한 슈퍼컴퓨터의 역할 (Role of Supercomputers in Numerical Prediction of Weather and Climate)

  • 박선기
    • 대기
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    • 제14권4호
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    • pp.19-23
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    • 2004
  • Progresses in numerical prediction of weather and climate have been in parallel with those of computing resources, especially the development of supercomputers. Advanced techniques in numerical modeling, computational schemes, and data assimilation cloud not have been practically achieved without the aid of supercomputers. With such techniques and computing powers, the accuracy of numerical forecasts has been tremendously improved. Supercomputers are also indispensible in constructing and executing the synthetic Earth system models. In this study, a brief overview on numerical weather / climate prediction, Earth system modeling, and the values of supercomputing is provided.