• Title/Summary/Keyword: EAST Model

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Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia (동아시아 대기질 예보 및 감시를 위한 모델링 기술의 현황과 발전 방향)

  • Park, Rae Seol;Han, Kyung Man;Song, Chul Han;Park, Mi Eun;Lee, So Jin;Hong, Song You;Kim, Jhoon;Woo, Jung-Hun
    • Journal of Korean Society for Atmospheric Environment
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    • v.29 no.4
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    • pp.407-438
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    • 2013
  • Current status and future direction of air quality modeling for monitoring and forecasting air quality in East Asia were discussed in this paper. An integrated air quality modeling system, combining (1) emission processing and modeling, (2) meteorological model simulation, (3) chemistry-transport model (CTM) simulation, (4) ground-based and satellite-retrieved observations, and (5) data assimilation, was introduced. Also, the strategies for future development of the integrated air quality modeling system in East Asia was discussed in this paper. In particular, it was emphasized that the successful use and development of the air quality modeling system should depend on the active applications of the data sets from incumbent and upcoming LEO/GEO (Low Earth Orbit/Geostationary Earth Orbit) satellites. This is particularly true, since Korea government successfully launched Geostationary Ocean Color Imager (GOCI) in June, 2010 and has another plan to launch Geostationary Environmental Monitoring Spectrometer (GEMS) in 2018, in order to monitor the air quality and emissions in/around the Korean peninsula as well as over East Asia.

Effects of d-${\alpha}$-tocopherol supplements on lipid metabolism in a high-fat diet-fed animal model

  • Kim, Do Yeon;Kim, Jinkyung;Ham, Hye Jin;Choue, Ryowon
    • Nutrition Research and Practice
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    • v.7 no.6
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    • pp.481-487
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    • 2013
  • High-fat diet up-regulates either insulin resistance or triglycerides, which is assumed to be related to the expression of peroxisome proliferator-activated receptor (PPAR)-${\alpha}$ and PPAR-${\gamma}$. The beneficial effects of vitamin E on insulin resistance are well known; however, it is not clear if vitamin E with a high-fat diet alters the expression of PPAR-${\alpha}$ and PPAR-${\gamma}$. We investigated the effects of d-${\alpha}$-tocopherol supplementation on insulin sensitivity, blood lipid profiles, lipid peroxidation, and the expression of PPAR-${\alpha}$ and PPAR-${\gamma}$ in a high-fat (HF) diet-fed male C57BL/6J model of insulin resistance. The animals were given a regular diet (CON; 10% fat), a HF diet containing 45% fat, or a HF diet plus d-${\alpha}$-tocopherol (HF-E) for a period of 20 weeks. The results showed that the HF diet induced insulin resistance and altered the lipid profile, specifically the triglyceride (TG) and total cholesterol (TC) levels (P < 0.05). In this animal model, supplementation with d-${\alpha}$-tocopherol improved insulin resistance as well as the serum levels of TG and very-low-density lipoprotein-cholesterol (VLDL-C) (P < 0.05). Moreover, the treatment decreased the levels of malondialdehyde (MDA) in the serum and liver while increasing hepatic PPAR-${\alpha}$ expression and decreasing PPAR-${\gamma}$ expression. In conclusion, the oral administration of d-${\alpha}$-tocopherol with a high-fat diet had positive effects on insulin resistance, lipid profiles, and oxidative stress through the expression of PPAR-${\alpha}$ and PPAR-${\gamma}$ in a high-fat diet-fed male mice.

Effects of Regional SO2 Emission Change due to the Western Development in China on the Deposition of sulfur in East Asia: Analysis Using the RAINS-Asia Model (중국의 서부 대개발에 따른 중국의 아황산가스 배출량과 주 배출 지역의 변화가 동아시아 황 침적량에 미치는 영향: RAINS-Asia 모델을 통한 분석)

  • Yeo M.J;Kim Y.P
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.1
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    • pp.73-81
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    • 2005
  • It is widely accepted that, at present, the SO$_2$ emissions in China are not increasing thanks to the rigorous Chinese government policies. However, with the development of western China, it is possible that the SO$_2$ emission amounts might increase in regional scale. In this study, changes of sulfur deposition pattern and unprotected ecosystem in east Asia due to the sulfur emission pattern changes in China are studied by using the RAINS-Asia model. Five scenarios have been postulated to understand the effects on east Asia, especially, on Korea and Japan. It is found that the increase of SO$_2$ emission in western China might increase the total emission in whole China. And the amount of sulfur deposition from western China on east Asia would be higher than those from eastern China. The deposition amount of sulfur species on Asia is 3.2 Mt when SO$_2$ are emitted from western China only while 2.6 Mt from eastern China only. Generally, Korea and Japan are influenced more by emissions from eastern China than western China. However, if the SO$_2$ emissions from western China increase by 100% while those decrease by 10% in eastern China compared to the base case, the deposition amount of sulfur species on Korea and Japan would be higher than the base case. The fraction of unprotected ecosystem in Korea and Japan for the base case are 50 and 5%. However, if the emissions from western China increase by 100% while those decrease by 10% in eastern China, the fraction of unprotected ecosystem in Korea and Japan would be 52 and 6%.

Semantic Building Segmentation Using the Combination of Improved DeepResUNet and Convolutional Block Attention Module (개선된 DeepResUNet과 컨볼루션 블록 어텐션 모듈의 결합을 이용한 의미론적 건물 분할)

  • Ye, Chul-Soo;Ahn, Young-Man;Baek, Tae-Woong;Kim, Kyung-Tae
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1091-1100
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    • 2022
  • As deep learning technology advances and various high-resolution remote sensing images are available, interest in using deep learning technology and remote sensing big data to detect buildings and change in urban areas is increasing significantly. In this paper, for semantic building segmentation of high-resolution remote sensing images, we propose a new building segmentation model, Convolutional Block Attention Module (CBAM)-DRUNet that uses the DeepResUNet model, which has excellent performance in building segmentation, as the basic structure, improves the residual learning unit and combines a CBAM with the basic structure. In the performance evaluation using WHU dataset and INRIA dataset, the proposed building segmentation model showed excellent performance in terms of F1 score, accuracy and recall compared to ResUNet and DeepResUNet including UNet.

Prediction of Swell-like High Waves Using Observed Data on the East Coast of Korea (관측치를 활용한 동해안 너울성 고파 예측)

  • Lee, Changhoon;Ahn, Suk Jin;Lee, Byeong Wook;Kim, Shin Woong;Kwon, Seok Jae
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.26 no.3
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    • pp.149-159
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    • 2014
  • In this study, we develop an algorithm to predict swell-like high waves on the east coast of Korea using the directional wave gauge which was installed near Sokcho. Using the numerical wave model SWAN, we estimate wave data in open sea from the wave data collected by using the directional wave gauge. Then, using the wave ray method and SWAN model with the open-sea wave data as offshore boundary conditions, we predict the swell-like high waves at several major points on the east coast of Korea. We verify the prediction methods with the SWAN and wave ray methods by comparing predicted data against measured one at Wangdolcho. We can improve the prediction of the swell-like high waves in the east sea of Korea using both the real-time wave measurement system and the present prediction algorithm.

A study on the forecasting biomass according to the changes in fishing intensity in the Korean waters of the East Sea (한국 동해 생태계의 어획강도 변화에 따른 자원량 예측 연구)

  • LIM, Jung-Hyun;SEO, Young-Il;ZHANG, Chang-Ik
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.54 no.3
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    • pp.217-223
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    • 2018
  • Overfishing capacity has become a global issue due to over-exploitation of fisheries resources, which result from excessive fishing intensity since the 1980s. In the case of Korea, the fishing effort has been quantified and used as an quantified index of fishing intensity. Fisheries resources of coastal fisheries in the Korean waters of the East Sea tend to decrease productivity due to deterioration in the quality of ecosystem, which result from the excessive overfishing activities according to the development of fishing gear and engine performance of vessels. In order to manage sustainable and reasonable fisheries resources, it is important to understand the fluctuation of biomass and predict the future biomass. Therefore, in this study, we forecasted biomass in the Korean waters of the East Sea for the next two decades (2017~2036) according to the changes in fishing intensity using four fishing effort scenarios; $f_{current}$, $f_{PY}$, $0.5{\times}f_{current}$ and $1.5{\times}f_{current}$. For forecasting biomass in the Korean waters of the East Sea, parameters such as exploitable carrying capacity (ECC), intrinsic rate of natural increase (r) and catchability (q) estimated by maximum entropy (ME) model was utilized and logistic function was used. In addition, coefficient of variation (CV) by the Jackknife re-sampling method was used for estimation of coefficient of variation about exploitable carrying capacity ($CV_{ECC}$). As a result, future biomass can be fluctuated below the $B_{PY}$ level when the current level of fishing effort in 2016 maintains. The results of this study are expected to be utilized as useful data to suggest direction of establishment of fisheries resources management plan for sustainable use of fisheries resources in the future.

A Numerical Modeling of the East sea circulation (동해 순환의 수치모델)

  • Seung, Young-Ho;Kim, Kyun
    • 한국해양학회지
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    • v.28 no.4
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    • pp.292-304
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    • 1993
  • The east Sea circulation is numerically modeled with refined grid resolution elaborated open boundary condition, and by directly imposing the measured surface temperature and salinity typical the east Korean Warm current are clearer than those in previous works. among others, The Ulleung warm Water and the Intermediate Water of minimum salinity are nicely reproduced. The latter is formed in the northern/northwestern coastal region in winter and is advocated southward by strong under-current. the former is associated with a locally generated anti-cyclonic gyres. The model indicates strong seasonal variation of Nearshore Current along the Japanese coast from wintertime barotropic to summertime baroclinic structures. the associated strong reversed under-cur-rent in summer is not well understood. Global circulation pattern is characterized by two regions of cyclonic and anti-cyclonic gyres in the north and south, respectively. The presence of these gyres indicates importance of local dynamics in East Sea circulation. This model, however, does not completely resolve the problem of overshooting of the East Korean Warm current.

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