• 대한원격탐사학회지
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• 제39권6_1호
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• pp.1505-1515
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• 2023

기후변화로 인한 이상기후 현상이 전 세계적으로 발생함에 따라 최근 탄소흡수원으로써 블루카본(Blue carbon)이 주목받고 있다. 블루카본은 기후변화에 관한 정부간 협의체(Intergovernmental Panel on Climate Change, IPCC)에 논의되어 온실가스 감축 수단으로 공식 인정되었으며, 국내·외로 신규 블루카본을 발굴하기 위해 다양한 연구가 진행중이다. 국내 블루카본 연구는 연안 습지 중 대부분을 차지하는 갯벌을 중심으로 탄소흡수 및 저장에 대한 연구가 진행되고 있으나, 이를 공간정보로 구축한 연구는 미비한 실정이다. 본 연구는 선행연구의 갯벌 탄소 저장량을 활용하여 금강과 낙동강 유역별 위치 및 공간정보로 전환하였다. 또한, 유역별 면적당 탄소 저장량의 대푯값을 산정하여 국내·외 다양한 갯벌 면적의 전체 탄소 저장량을 비교하였다. 분석 결과, 금강 및 낙동강 유역 모두 갯벌 데이터에 따라 탄소 저장량이 다르게 나타났으며, 금강 유역은 국립해양조사원(469,810.1 Mg C), 낙동강 유역은 환경부(217,145.01 Mg C) 자료가 가장 높게 나타났다. 본 연구의 결과는 향후 국내 블루카본 공간정보 구축 연구에 대한 기초자료로 활용될 수 있을 것으로 사료된다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.995-998
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• 2007

본 연구에서는 태풍 "매미" 당시 해일로 인해 가장 큰 피해를 입었던 마산만 지역을 중심으로 최고극조위에 따른 최대침수구역을 산정하여 실제 침수구역과 비교분석하여 침수모형의 정확도를 분석하고 침수해일의 방어목적으로 제안한 방재언덕등에 대한 다차원 홍수피해 산정방법을 적용하여 경제성 분석을 실시함으로써 이에 대한 타당성 평가 및 방재사업에 필요한 기초자료를 제공하는데 그 목적이 있다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 추계학술발표대회
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• pp.346-349
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• 2018

In North-East asian countries, laver cultivation has been an important marine industry in coastal areas as well as fishery because laver (Porphyra) is nutrient-rich food and has been used in many Asian cuisines. Laver is characterized by high concentrations of fiber and minerals, a low fat content, and, in some cases, relatively high protein levels. In this paper we inplimented design of fully automatic laver harvesting, nowdays most peoples are used to collect a laver harvesting by human, it is very defficult working, due to wind, waves, and the weather conditions which is hard to stand on the ship and holding the seaweed nets it can be injurced human, this is the reason to we are developed automatic harvesting method, in this project we proposed automatic harvesting collect method which is operated without human. Mainly we design and developed automated ship, This ship is devided in to three parts frist part is supporting roller, second part is drum screener, thried part is lifting mechanism. Thise are operated with hydro pnumatic equimpment, this divice are control with micro controller. The system prototype has implemented and satisfied by the performance to realize the further level.

• 한국환경과학회지
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• 제20권2호
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• pp.275-289
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• 2011

In order to clarify the relation between sea breeze penetration and Planetary Boundary Layer development in southeastern part of the Korean Peninsula, several numerical assessments were carried out using atmospheric numerical model WRF(Weather Research and Forecasting). Compared with onset time of sea breeze at eastern coast area(Uljin), the time at southern coast region(Masan) with complex costal line tend to delay for several hours. The penetration patterns of sea breeze between two coastal regions are some different due to the shape of their coastal line and back ground topography. Intensified valley wind due to high topography of lee side of Uljin can help penetration of sea breeze at early time. So penetration of sea breeze at early time often prevent PBL to develop at Uljin and lower PBL height last for a day time. But because of late penetration of sea breeze at Masna, PBL Height dramatically decrease after 1500LST. The distribution of front genesis function based on the heat and momentum variation are explained obviously the sea breeze penetration patterns and agreed well with the PBL height distribution.

• Environmental Engineering Research
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• 제14권2호
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• pp.88-94
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• 2009

In this study an attempt has been made to predict the annual foggy days over Gyeongsangbuk-do of Korea, using the regional mesoscale model (MM5). The annual meteorological conditions are simulated, and the annual and seasonal foggy days are predicted from the simulated results based on the seasonal and spatial information of the observed meteorological characteristics for fog occurrence such as wind speed, relative humidity, and temperature. Most of observed inland fog over Gyeongsangbuk-do occurs in autumn under the meteorological conditions such as a cairn, a high temperature range (above $10^{\circ}C$), and a high relative humidity (above 85%). The predicted results show the various foggy days, about 10${\sim}$60 days, depending on the season and the site locations. The predicted annual foggy days at inland sites are about 30${\sim}$60 days, but at coastal sites, about 10${\sim}$20 days. Also, a higher frequency of fog occurrence at inland sites is shown in autumn (about 60% of the annual foggy days). Otherwise, a higher frequency of fog occurrence at coastal sites is shown in summer (about 60% of the annual foggy days), unlike the inland. These annual foggy days and their seasonal variations agree reasonably well with the observed values. It can be concluded that it is possible to predict the occurrence of annual or seasonal foggy days by MM5.

• 한국연안방재학회지
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• 제4권4호
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• pp.189-196
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• 2017

Ocean Research Stations (ORSs) is the ocean platform type observation towers and measured oceanic, atmospheric and environmental data. These station located on the offshore area far from the coast, so they can produce the data without land effect. This study focused to improve the wave data quality of ORS station. The wave observations at ORSs are used by the C-band (5.8 GHz, 5.17 cm) MIROS Wave and Current Radar (MWR). MWR is convenient to maintenance and produce reliability wave data under bad weather conditions. MWR measured significant wave height, peak wave period, peak wave direction and 2D wave spectrum, so it's can provide wave information for researchers and engineers. In order to improve the reliability of MWR wave data, Datawell Waverider Buoy was installed near the one ORS (Socheoncho station) during 7 months and validate the wave data of MWR. This study found that the wave radar tend to be overestimate the low wave height under wind condition. Firstly, this study carried out the wave Quality Control (QC) using wind data, however the quality of wave data was limited. So, this study applied the four filters (Correlation Check, Direction Filter, Reduce White Noise and Phillips Check) of MWR operating software and find that the filters effectively improve the wave data quality. After applying 3 effective filters in combination, the RMSE of significant wave height decreased from 0.81m to 0.23m, by 0.58m and Correlation increased from 0.66 to 0.96, by 0.32, so the reliability of MWR significant wave height was significantly improved.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.271-271
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• 2015

The Ecuadorian coast has two different climate regions. One is humid region where the annual rainfall is above 2000 mm and rain falls in almost all months of the year, and the other is dry region where the annual rainfall can fall below 50 mm and rainfall can be very seasonal. The agriculture is frequently limited by the seasons during the year and the availability of rainfall amounts. The corn fields in Ecuador are cultivated during the rainy season, due to this reason. The weather conditions for optimum development of corn growth require a monthly average rainfall of 120 mm to 140 mm and a temperature range of $22^{\circ}C{\sim}32^{\circ}C$ for the dry region, and a monthly average rainfall of 200 mm to 400 mm and a temperature range of $25^{\circ}C{\sim}30^{\circ}C$ for the humid area. The objective of this study is to predict how the weather conditions are going to change in corn fields of the coastal region of Ecuador in the future decades. For this purpose, this study selected six General Circulation Models (GCM) including BCC-CSM1-1, IPSL-CM5A-MR, MIROC5, MIROC-ESM, MIROC-ESM-CHEM, MRIC-CGC3 with different climate scenarios of the RCP 4.5, RCP 6.0, and RCP 8.5, and applied for the period from 2011 to 2100. The climate variables information was obtained from the INAMHI (National Institute of Meteorology and Hydrology) in Ecuador for the a base line period from 1986 to 2012. The results indicates that two regions would experience significant changes in rainfall and temperature compared to the historical data. In the case of temperature, an increment of $1^{\circ}C{\sim}1.2^{\circ}C$ in 2025s, $1.6^{\circ}C{\sim}2.2^{\circ}C$ in 2055s, $2.1^{\circ}C{\sim}3.5^{\circ}C$ in 2085s were obtained from the dry region while less increment were shown from the humid region with having an increment of $1^{\circ}C$ in 2025s, $1.4^{\circ}C{\sim}1.8^{\circ}C$ in 2055s, $1.9^{\circ}C{\sim}3.2^{\circ}C$ in 2085s. Significant changes in rainfall are also projected. The rainfall projections showed an increment of 8%~11% in 2025s, 21%~33% in 2055s, and 34%~70% in 2085s for the dry region, and an increment of 2%~10%, 14%~30% and 23%~57% in 2025s, 2055s and 2085s decade respectively for humid region.

• 한국지리정보학회지
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• 제10권2호
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• pp.47-57
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• 2007

연안 해양환경의 급격한 변동에 의하여 매년 발생하고 있는 양식생물의 대량폐사의 원인을 규명하고 피해를 저감하기 위하여 양식장 플랫폼을 활용한 실시간 해양환경 정보제공시스템의 개발연구를 수행하였다. 일반적으로 실시간 관측시스템에 활용되고 있는 외양의 계류부이에 비해 관측정보가 직접 필요한 양식장에서 관측하여 제공함으로써 생산한 정보의 활용도가 높았으며, 양식장은 접근이 용이하고 상주인원이 있어 관측 장비의 유지보수가 유리한 점이 개발한 시스템의 특징이었다. 연속적 정보 수집을 위하여 관측치의 이상발생에 대한 긴급정비와 주기적인 예방정비 및 관측현황 모니터링을 시스템화하였으며, 과거 자료를 이용하여 통계적인 방법으로 구한 신뢰구간을 적용하여 관측 자료의 신뢰도 제고와 관측 중단을 최소화하도록 하였다. 또한 정보를 최종 이용자에게 효과적인 방법으로 전달하기 위하여 시스템의 개발내용에 홈페이지와 전자우편, 양식장의 현장에서 정보를 직접 확인할 수 있는 소형전광판과 어시장의 대형전광판을 통한 정보 제공체계를 구축하였다. 이를 통하여 어업인의 과학적인 어업활동을 지원하였고, 양식장 적지선정과 관련된 어장환경연구를 수행하였다. 양식생물의 대량폐사와 같은 경제적인 피해를 저감하며, 장기적으로 연안 해양환경의 변화와 이와 관련된 해양연구에 본 연구를 통한 기술개발의 결과를 활용할 수 있다.

• 수산해양기술연구
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• 제48권3호
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• pp.269-276
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• 2012

Marine caused pollution occurs mostly near coastal area and its main cause was known to be human feces issued from small vessels. To sterilize liquid pollutants from portable toilets of small vessels, an electrolysis treatment is judged to be the most economic and stable method considering an environment of its use. In this paper, we presents an electrolysis apparatus which is the most appropriate for sterilizing pollutants from portable toilets of small vessels and derives the minimum operating time of the apparatus for sterilizing norovirus which is a main target of marine caused pollution sources. In order to utilize renewable energy, we designed an apparatus which generates a renewable energy from solar cells. As a result, we could confirm the applicability of the proposed system with the results from experiments in three cases of different weather conditions.

• 한국환경과학회지
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• 제23권6호
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• pp.1085-1093
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• 2014

We investigate the amount of potential electricity energy generated by wind power in Busan metropolitan area, using the mesoscale meteorological model WRF (Weather Research & Forecasting), combined with small wind power generators. The WRF modeling has successfully simulated meteorological characteristics over the urban areas, and showed statistical significant to predict the amount of wind energy generation. The highest amount of wind power energy has been predicted at the coastal area, followed by at riverbank and upland, depending on predicted spatial distributions of wind speed. The electricity energy prediction method in this study is expected to be used for plans of wind farm constructions or the power supplies.