http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Jaiho Oh,Morang Huh,Su-min Woo 위기관리 이론과 실천 2014 Journal of Safety and Crisis Management Vol.4 No.1
The 9.0-scale earthquake that hit Japan on March 11, 2011 at 2:45 PM (local time) was the biggest quake in Japan's history and the 4th biggest recorded across the globe since modern record-keeping began in 1900. This earthquake and tsunami named as "the Great Eastern Japan Earthquake" was the most powerful known earthquake to have hit Japan. After the quake, massive tsunami waves were unleashed, crashing into Japan’s northeastern coast of Honshu, resulting in widespread damage and destruction. The earthquake and tsunami caused extensive and severe structural damage in Japan, including heavy damage to roads and railways as well as fires in many areas, and a dam collapse. Moreover, three nuclear reactors in Fukushima suffered explosions due to hydrogen gas that had built up within their outer containment buildings after a cooling system failure. Through this sequence of mega disasters we may learn how to prepare and handle this kind of multi-mega disaster. In this study 14 points to be considered for the future have been discussed. This paper has two main parts. The first part briefly reviews the environmental, humanitarian and social impacts of mega-disasters. Next, the potential issues to manage such a mega- disaster have been reviewed for better preparedness in the future.
Letter : Relationship between sea ice concentration and sea ice albedo over Antarctica
( Minji Seo ),( Chang Suk Lee ),( Hyunji Kim ),( Morang Huh ),( Kyung Soo Han ) 대한원격탐사학회 2015 大韓遠隔探査學會誌 Vol.31 No.4
Sea ice is a key parameter for understanding the climate change in cryosphere. In this study, we investigated the correlation with the factors that influenced change of the sea ice extent. We used the Sea Ice Concentration (SIC) from Ocean and Sea Ice Satellite Application Facility (OSI-SAF), and surface albedo provided by The Satellite Application Facility on Climate Monitoring (CM SAF). We converted the same temporal and spatial resolution of the data and detected the sea ice using SIC data. We performed the relationship analysis between SIC and sea ice albedo. As a result, we found they have a strong positive correlation. We performed the linear regression between SIC and sea ice albedo, and found they have highlevel coefficient of determination. It shows using either SIC or sea ice albedo is possible to estimate the sea ice products.
Yemin Jeong,Youjeong Youn,Subin Cho,Seoyeon Kim,Morang Huh,Yang-Won Lee 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.4
PM (particulate matter) is of interest to everyone because it can have adverse effects on human health by the infiltration from respiratory to internal organs. To date, many studies have made efforts for the prediction of PM10 and PM2.5 concentrations. Unlike previous studies, we conducted the prediction of tomorrow’s PM10 concentration for the Air Korea stations using Chinese PM10 data in addition to the satellite AOD and weather variables. We constructed 230,639 matchups from the raw data over 3 million and built an RF (random forest) model from the matchups to cope with the complexity and nonlinearity. The validation statistics from the blind test showed excellent accuracy with the RMSE (root mean square error) of 9.905 μg/m3 and the CC (correlation coefficient) of 0.918. Moreover, our prediction model showed a stable performance without the dependency on seasons or the degree of PM10 concentration. However, part of coastal areas had a relatively low accuracy, which implies that a dedicated model for coastal areas will be necessary. Additional input variables such as wind direction, precipitation, and air stability should also be incorporated into the prediction model as future work.
Evaluation of GSICS Correction for COMS/MI Visible Channel Using S-NPP/VIIRS
( Donghyun Jin ),( Soobong Lee ),( Seonyoung Lee ),( Daeseong Jung ),( Suyoung Sim ),( Morang Huh ),( Kyung-soo Han ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.1
The Global Space-based Inter-Calibration System (GSICS) is an international partnership sponsored by World Meteorological Organization (WMO) to continue and improve climate monitoring and to ensure consistent accuracy between observation data from meteorological satellites operating around the world. The objective for GSICS is to inter-calibration from pairs of satellites observations, which includes direct comparison of collocated Geostationary Earth Orbit (GEO)-Low Earth Orbit (LEO) observations. One of the GSICS intercalibration methods, the Ray-matching technique, is a surrogate approach that uses matched, co-angled and colocated pixels to transfer the calibration from a well calibrated satellite sensor to another sensor. In Korea, the first GEO satellite, Communication Ocean and Meteorological Satellite (COMS), is used to participate in the GSICS program. The National Meteorological Satellite Center (NMSC), which operated COMS/MI, calculated the Radiative Transfer Model (RTM)-based GSICS coefficient coefficients. The L1P reproduced through GSICS correction coefficient showed lower RMSE and Bias than L1B without GSICS correction coefficient applied. The calculation cycles of the GSICS correction coefficients for COMS/MI visible channel are provided annual and diurnal (2, 5, 10, 14-day), but long-term evaluation according to these cycles was not performed. The purpose of this paper is to perform evaluation depending on the annual/diurnal cycles of COMS/MI GSICS correction coefficients based on the ray-matching technique using Suomi-NPP/Visible Infrared Imaging Radiometer Suite (VIIRS) data as reference data. As a result of evaluation, the diurnal cycle had a higher coincidence rate with the reference data than the annual cycle, and the 14-day diurnal cycle was the most suitable for use as the GSICS correction coefficient.
An Improved Estimation of Outgoing Longwave Radiation Based on Geostationary Satellite
Hyunji Kim,Minji Seo,Noh-hun Seong,Kyeong-sang Lee,Sungwon Choi,Dong-Hyun Jin,Morang Huh,한경수 대한원격탐사학회 2019 大韓遠隔探査學會誌 Vol.35 No.1
The Outgoing Longwave Radiation (OLR) is an important satellite-driven variable for understanding the Earth’s energy budget balance. The geostationary OLR retrievals require angular and spectral integration using an empirical equation for irradiance flux-to-OLR from a regression analysis, which determines the accuracy of the narrowband satellite-based OLR. We selected homogeneous pixels which is satisfied less temporal-spatial variability of cloud, on three infrared channels (6.7, 10.8, 12.0 μm) of the first multipurpose geostationary satellite in Korea, namely the Communication, Ocean and Meteorological Satellite/Meteorological Imager (COMS/MI). Multiple regression analysis was performed to retrieve OLR with improved accuracy using selected parameters based on theoretical and physical significance. This algorithm yielded retrieval with higher accuracy than broadband-based OLR retrieval: RMSE of 10.54 to 3.81 W m-2, and bias of -8.49 to -0.07 W m-2.