• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.505-505
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• 2015

수위자료는 유량을 판단하기 위한 기초적인 수문자료이다. 하지만 관측자료는 항상 오류 가능성이 있으므로 이에 대해 지속적인 품질관리가 요구된다. 일반적으로 수위자료는 단일 지점에서 시간에 따라 수집되므로 시간에 따른 변화 등을 이용하여 수위자료의 오류 여부를 판단한다. 하지만 실제 수위자료는 상류와 하류가 공간적으로 연결되어 있으므로 상 하류의 관계를 비교함으로써 수위자료의 오류 여부를 판단하는 것도 가능할 것이다. 이에 본 논문에서는 하천의 수위자료를 해발수위 자료로 변환하여 하구로부터의 거리를 이용해 도시함으로써 수위 프로파일을 시각화하고 그 변화를 고찰함으로써 수위자료의 시공간적인 변화를 이용해 수위 오류를 찾을 수 있는 시각화 기법을 개발하였다. 그림 1에서 보는 것과 같이 각 관측소 수위의 정상 경사와 역 경사를 시간별로 구분하고 이를 연속적으로 추적함으로써 수위자료의 오류와 수위관측소 제원 정보의 오류 등을 찾는데 도움을 줄 수 있으며, 수위자료에 대한 향상된 품질관리를 가능하게 할 것이다.

• Journal of the Korean earth science society
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• v.39 no.6
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• pp.593-599
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• 2018

The onset times of P- and S-waves are important information to have reliable earthquake locations, 1D or 3D subsurface velocity structures, and other related studies in seismology. As the number of seismic stations increases significantly in recent years, it becomes a formidable task for network operators to pick phase arrivals manually. This study used a simple method to estimate additional P- and S-wave arrival times for local earthquakes when a priori information (event location and time) is available using the Akaike Information Criterion (AIC). We applied the AIC program to the earthquake data recorded at the seismic station located in Gyeongsan (DAG2). The comparisons of automatically estimated phase arrival times with manually picked onset times showed that 95.1% and 93.7% of P-wave and S-wave arrival time estimations, respectively, are less than 0.1 second difference. The higher percentage of agreement presented the method which can be successfully applied to large data sets recorded by high-density seismic arrays.

• Journal of the Korean earth science society
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• v.36 no.7
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• pp.632-642
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• 2015

Seismograms are composed of 3 characteristics, that is, seismic source, attenuation, and site amplification. Among them, site amplification characteristics should be considered significantly to estimate seismic source and attenuation characteristics with more confidence. This purpose of this study is to estimate the site amplification characteristics at each site using horizontal to vertical (H/V) spectral ratio method. This method, originally proposed by Nakamura (1989), has been applied to study the surface waves in microtremor records. It has been recently extended to the shear wave energy of strong motion and applied to the study of site amplification. This study analyzed the H/V spectral ratio of 6 ground motions respectively using observed data from 4 sites nearby in Yedang Reservoir. And then, site amplification effects at each site, from 3 kinds of seismic energies, that is, S waves, Coda waves energy, and background noise were compared each other. The results suggested that 4 sites showed its own characteristics of site amplification property in specific resonance frequency ranges (YDS: ~11 Hz, YDU: ~4 Hz, YDD: ~7 Hz). Comparison of this study to other studies using different analysis method can give us much more information about dynamic amplification of domestic sites characteristics and site classification.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.1
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• pp.1-10
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• 2021

In this study, Information for the case of seawater flooding and observation data over a period of 10 years (2009~2018) was collected. Using machine learning algorithms, the characteristics of the types of seawater flooding and observations by type were classified. Information for the case of seawater flooding was collected from the reports of the Korea Hydrographic and Oceanographic Agency (KHOA) and the Korea Land and Geospatial Informatics Corporation. Observation data for ocean and meteorological were collected from the KHOA and the Korea Meteorological Agency (KMA). The classification of seawater flooding incidence types is largely categorized into four types, and into 5 development types through combination of 4 types. These types were able to distinguish the types of seawater flooding according to the marine weather environment. The main characteristics of each was classified into the following groups: tidal movement, low pressure system, strong wind, and typhoon. Besides, in consideration of the geographical characteristics of the ocean, the thresholds of ocean factors for seawater flooding by region and type were derived.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.115-123
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• 2009

Integrated information to water quantity and quality is essential for planning water resources management as well as operating water-related infrastructures. Because data collection process including monitoring and maintenance is separated in different governmental agencies in Korea, integrating quantity and quality may provide effective and better management implementation. In this study, a number of suggestions regarding integration of water monitoring were concluded in terms of technological, legal and institutional implications. First, it is necessary to discuss national water monitoring plan, national water information management plan, agreement of standard terms of monitoring between ministries, and to revise the law(river law and water quality management law). Present stations for water monitoring should be used for both of quantity and quality monitoring. If station is newly installed or relocated, it is better that one single agency maintain monitoring frequency and data management as well. In addition, a monitoring protocol need to be agreed by each of parties. In order to develop integrated monitoring system, quality assurance of the collected data should be properly maintained. Since many purposes haven been concerned using of data analysis and assessment so far, it may not be easy to integrate water quantity and quality monitoring in a short period. However, the alternatives including enhancing institutional regulations and programs, advanced technology may promote an efficient integrated water monitoring.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.67-74
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• 2024

In this paper, we present a study aimed at analyzing how different rainfall measurement methods affect the performance of reservoir water level predictions. This work is particularly timely given the increasing emphasis on climate change and the sustainable management of water resources. To this end, we have employed rainfall data from ASOS, AWS, and Thiessen Network-based measures provided by the KMA Weather Data Service to train our neural network models for reservoir yield predictions. Our analysis, which encompasses 34 reservoirs in Jeollabuk-do Province, examines how each method contributes to enhancing prediction accuracy. The results reveal that models using rainfall data based on the Thiessen Network's area rainfall ratio yield the highest accuracy. This can be attributed to the method's accounting for precise distances between observation stations, offering a more accurate reflection of the actual rainfall across different regions. These findings underscore the importance of precise regional rainfall data in predicting reservoir yields. Additionally, the paper underscores the significance of meticulous rainfall measurement and data analysis, and discusses the prediction model's potential applications in agriculture, urban planning, and flood management.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.413-413
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• 2022

본 연구에서는 통계적 방법으로 도출된 장기 기상예측정보를 이용하여 유역에서의 유출량 전망 가능성을 검토하였다. 먼저 한강권역의 월 강수량과 기온에 대해 글로벌 기후지수와의 원격상관성을 기반으로 다중회귀모형 기반의 통계적 예측모형을 구성하여 미래기간(1~12개월)에 대한 월 단위 기상예측정보를 도출하였다. 월 단위로 도출된 강수량과 기온은 통계적 상세화 기법을 통해 한강권역 주요 ASOS 관측소 지점별로 일 단위 강수량과 기온자료로 변환하였으며, 상세화된 일 자료를 유역모형인 SWAT의 입력자료로 활용하여 경안천 유역의 미래기간에 대한 유출량을 도출하였다. 유출량 예측성을 평가하기 위하여 과거기간(2003~2021년)을 대상으로 관측유출량과 예측기상정보로부터 산출된 예측유출량을 비교하였다. 각 월별로 예측된 유출량의 중앙값과 관측값의 적합도를 분석한 결과, PBIAS는 -5.2~-2.7%, RSR은 0.79~0.91, NSE는 0.34~0.38, r은 0.59~0.62로 강수량 및 기온의 예측성에 비해 낮게 나타났다. 전 기간에 대해 월별로 분석한 예측결과에 대한 3분위 확률은 5월, 6월, 7월, 9월, 11월은 평균 42.8%로 예측성이 충분한 것으로 나타났으나, 나머지 월에서의 평균 예측성은 17.3%로 매우 낮게 나타났다. 상세화된 기상정보를 이용하여 유역모델링을 통해 산정한 유출량에 대한 전망 결과는 기상예측결과에 비해 상대적으로 예측성이 낮은 것으로 분석되었다. 이는 관측값 자체에서 나타날 수 있는 불확실성에 기인할 수도 있으며, 유출량에 지배적인 영향을 주는 강수량의 예측성에 대한 문제가 유역 모델링 과정에서 증폭되어 나타나는 문제일 수도 있다. 또한 지점별 일 자료로 상세화되는 과정에서의 불확실성, 우리나라 여름철 유출량 변동성 등 여러 가지 요인이 복합적으로 영향을 주어 나타나는 것으로 생각된다. 향후 다양한 대상유역에 대한 검토와 기상예측모형의 보완, 상세화 과정에서의 불확실성 해소 등을 통해 예측성을 개선할 계획이다.

• Journal of the Korean Geophysical Society
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• v.5 no.4
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• pp.283-292
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• 2002

The Korean peninsula is located at the edge of the East Asian active margin. The seismic activity in the Korean Peninsula is relatively low compared with the neighboring countries China and Japan. According to the available Seismic information, the Korean Peninsula is not totally safe from the Earthquake disaster. Moreover, the area is surrounded by varies tectonic forces which is resulted from the relative movements of the surrounding tectonic plates "Pacific, Philippine Sea, Eurasian and South China". Nowadays South Korea has 65 GPS stations belong to 5 governmental organizations "each organization figure out its own GPS stations for different requirements" In order to minimize the seismic hazard in the Korean Peninsula a program for monitoring the recent crustal movement has been designed considering the uses of the available GPS station "some selected stations from the previously mentioned stations" and the tectonic settings in and around the Korean Peninsula. This program is composed of two main parts, the first part to monitor the crustal deformation around the Korean Peninsula with the collaboration of the surrounding countries "China and Japan" this part is composed of two phases "East Sea Phase and Yellow Sea Phase". These phases will be helpful in determining the deformation parameters in the East Sea and the Yellow Sea respectively While the Second part of this program, is designed to determine the deformation parameters id and around the main faults in the Korean Peninsula and the relative movement between the Korean Peninsula and the Cheju Island. Through out this study the needs of crustal movement center rose up to collect the data from the previously mentioned stations and Organizations in order to use such reliable data in different geodynamical application.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.1033-1041
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• 2006

In this study, we calculated a space-time variation of GPS precipitable water vapor using GPS meteorology technique during a progress of the typhoon EWINIAR had made an effect on Korean peninsular at 10 July, 2006. We estimated tropospheric dry delay and wet delay for one hourly using 22 GPS permanent stations and precipitable water vapor was conversed by using surface meteorological data. The Korean weighted mean temperature and air-pressure of versa-reduction to the mean sea level have been used for an accuracy improvement of GPS precipitable water vapor estimation. Finally, we compared MTSAT water vapor image, radar image and precipitable water vapor map during a passage of the typhoon EWINIAR.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.215.2-215.2
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• 2012

우주물체 전자광학 감시체계(OWL: Optical Wide-field Patrol)는 전세계에 5개의 50cm급 자동 망원경과 1개의 2m급 망원경을 설치하여 인공위성의 궤도 정보를 얻는 시스템이다. 이 시스템을 운영하게 될 소프트웨어는 크게 두 부분으로 나누어지는데, 해외 원격지에 설치되는 관측소의 50cm급 망원경의 마운트와 검출기, 돔, 기상 측기, 전원 제어 장치를 통합하여 무인으로 관측을 수행하고 그 결과를 본부에 보고하며, 각 시스템을 안전하게 보호하는 기능을 갖는 SOS(Site Operating System)와, 스케줄러에 의하여 각 관측소에 필요한 관측 일정을 작성하여 전달하고 관측소의 운영 현황을 모니터링 하는 NOS(Network Operating System)로 구성된다. OWL OS를 위하여, 시스템을 전반적으로 운영하는 운영 시나리오를 설계하였으며, 이 시나리오에는 기상조건 악화와 장비 오류 등의 경우에 시스템을 보호하고 상황을 즉시 보고하는 비상사태 대처 방안을 포함하였다. 이러한 운영의 모든 단계에서 주기적 또는 필요시 로그 기록이 남도록 하였으며, 이 로그 기록을 바탕으로 사용자가 원할 때에 본부에서 운영상황을 요약하여 보여주는 각종 통계 자료를 작성하여 확인할 수 있도록 하였다.