• Title/Summary/Keyword: Ocean Environment Monitoring

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The studies on the preference for attachment to the habitat marine environment and habitat space of Sulculus diversicolor supertexta in Jeju Island (제주도 오분자기의 서식 해양 환경과 서식공간에 대한 부착 선호도에 관한 연구)

  • HEO, Nam-hee;KIM, Keun-hyoung;KANG, Kyoung-Bum;KIM, Suk-jong
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.58 no.2
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    • pp.106-112
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    • 2022
  • As a series of basic research to draw the pilot design measures for developing the habitat apparatus of Sulculus diversicolor supertexta inhabiting the coastal area of Jeju island, this study conducted a water tank experiment to understand the habitat marine environment of Sulculus diversicolor supertexta and the preference of habitat space focusing on the research fisheries performing the discharge of marine products. In the composition degree of marine algae in both fisheries, Donggwi-ri showed the highest gulfweed (79.3%) as brown algae and there were some coralline algae (17.2%) as red algae. Hansu-ri yielded the highest gulfweed (48.1%) as brown algae, which was followed by sea lettuce (10.4%) as green algae. In the preference of habitat space, the shelter angles 40° showed the highest adhesion as number of 82.9, which was followed by 60° and 70° as 69.2 and 68.2 respectively (P<0.05) by reviewing the environmental characteristics of habit of Salculus diversicolor supertexta in the coastal fishery of Jeju Island, when considering the adhesion rate in each of five shelters with different angles. In the future, there should be continuous research and monitoring for designing the fish shelters suitable for the coastal fisheries of Jeju island, and it would be also necessary to add the field-centered sustainable concrete research.

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.

Application of DINEOF to Reconstruct the Missing Data from GOCI Chlorophyll-a (GOCI Chlorophyll-a 결측 자료의 복원을 위한 DINEOF 방법 적용)

  • Hwang, Do-Hyun;Jung, Hahn Chul;Ahn, Jae-Hyun;Choi, Jong-Kuk
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1507-1515
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    • 2021
  • If chlorophyll-a is estimated through ocean color remote sensing, it is able to understand the global distribution of phytoplankton and primary production. However, there are missing data in the ocean color observed from the satellites due to the clouds or weather conditions. In thisstudy, the missing data of the GOCI (Geostationary Ocean Color Imager) chlorophyll-a product wasreconstructed by using DINEOF (Data INterpolation Empirical Orthogonal Functions). DINEOF reconstructs the missing data based on spatio-temporal data, and the accuracy was cross-verified by removing a part of the GOCI chlorophyll-a image and comparing it with the reconstructed image. In the study area, the optimal EOF (Empirical Orthogonal Functions) mode for DINEOF wasin 10-13. The temporal and spatialreconstructed data reflected the increasing chlorophyll-a concentration in the afternoon, and the noise of outliers was filtered. Therefore, it is expected that DINEOF is useful to reconstruct the missing images, also it is considered that it is able to use as basic data for monitoring the ocean environment.

Initial Change of Environmental factors at Artificial Tidal Flat Constructed Using Ocean Dredged Sediment (해양 준설토를 이용한 인공염습지 현장시험구 조성 후 초기 환경변화)

  • Park, So-Young;Lee, In-Cheol;Yi, Byung-Ho;Lee, Ja-Yeon;Yi, Yong-Min;Sung, Ki-June
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.11 no.2
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    • pp.63-69
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    • 2008
  • As a basic study on the creation of artificial tidal flats using dredged sediments, the pilot-scale artificial tidal flats with 4 different mixing ratio of ocean dredged sediment were constructed in Nakdong river estuary. The phragmites australis was transplanted from the adjacent phragmites australis community after construction, and then the survival and growth rate of the planted phragmites australis were measured. Also the changes of soil chemical oxygen demand (COD), ignition loss (IL), and the heterotrophic microbial numbers were monitored. The survival rate of the planted phragmites australis decreased as the mixing ratio of dredged sediment increased but there was little difference of length and diameter of the shoots. 30% of COD and 9% of IL in the tidal flat with 100% dredged sediment decreased after 202 day, however, fluctuations of COD and IL concentrations were also observed possibly due to the open system. It was suggested that the construction of tidal flats using ocean dredged sediment and biological remediation of contaminated ocean dredged sediment can be possible considering the growth rate of transplanted phragmites australis, decrease of organic matter and increased heterotrophic microbial number in the pilot plant with 100% dredged sediment. However, the continuous monitoring on the vegetation and various environmental factors in the artificial tidal flat should be necessary to evaluate the success of creation of artificial flats using dredged sediments.

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Early Shell Crack Detection Technique Using Acoustic Emission Energy Parameter Blast Furnaces (음향방출 에너지 파라미터를 이용한 고로 철피균열의 조기 결함탐지 기술)

  • Kim, Dong-Hyun;Lee, Sang-Bum;Bae, Dong-Myung;Yang, Bo-Suk
    • Journal of the Korean Society for Nondestructive Testing
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    • v.36 no.1
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    • pp.45-52
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    • 2016
  • Blast furnaces are crucial equipment for steel production. A typical furnace risks unexpected accidents caused by contraction and expansion of the walls under an environment of high temperature and pressure. In this study, an acoustic emission (AE) monitoring system was tested for evaluating the large-scale structural health of a blast furnace. Based on the growth of shell cracks with the emission of high energy levels, severe damage can be detected by monitoring increases in the AE energy parameter. Using this monitoring system, steel mill operators can establish a maintenance period, in which actual shell cracks can be verified by cross-checking the UT. From this study, we expect that AE systems permit early fault detection for structural health monitoring by establishing evaluation criteria based on the severity of shell cracking.

Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS (원격탐사와 GIS를 이용한 재난 예측, 감시 및 대응)

  • Kim, Junwoo;Kim, Duk-jin;Sohn, Hong-Gyoo;Choi, Jinmu;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.661-667
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    • 2022
  • As remote sensing and GIS have been considered to be essential technologies for disasters information production, researches on developing methods for analyzing spatial data, and developing new technologies for such purposes, have been actively conducted. Especially, it is assumed that the use of remote sensing and GIS for disaster management will continue to develop thanks to the launch of recent satellite constellations, the use of various remote sensing platforms, the improvement of acquired data processing and storage capacity, and the advancement of artificial intelligence technology. This spatial issue presents 10 research papers regarding ship detection, building information extraction, ocean environment monitoring, flood monitoring, forest fire detection, and decision making using remote sensing and GIS technologies, which can be applied at the disaster prediction, monitoring and response stages. It is anticipated that the papers published in this special issue could be a valuable reference for developing technologies for disaster management and academic advancement of related fields.

Development of Real-time Oceanographic Information System using Platforms of Aquaculture Farms (양식장 플랫폼을 활용한 실시간 해양환경 정보제공시스템 개발연구)

  • Yang, Joon-Yong;Suh, Young-Sang;Choi, Yong-Kyu;Jung, Kyu-Kui;Jeong, Hee-Dong;Park, Jong-Soo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.47-57
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    • 2007
  • Real-time oceanographic information system was developed using platforms of aquaculture farms to examine causes of mass mortality of hatchery fishes, and to reduce the damage of mass mortality which has been occurred frequently off coast by abnormal change of ocean conditions. The system had the advantages of direct data distribution to fishermen at the farm and instant maintenance of equipments due to easy access to the farms and residents at the farms in comparison with offshore mooring buoy system. To avoid discontinued measurement of the system, repairs caused by malfunction of equipments, bimonthly preventive maintenances and daily monitoring of measured data were systematized. Confidence intervals calculated by a statistical method using accumulated data were applied to data management. Such activities could minimize discontinuance of measurement and keep information more trustful. In addition, the system has various ways of data distribution. Through homepage and e-mail in the internet, information was provided to public. Display units which were connected to equipments at the farm gave the measured data directly to fishermen, which guided them to run their farm scientifically. Finally large display unit was installed at a fish market and showed the measured data at the nearest station with tide and weather information. Proper region for aquaculture and wintering region were studied using temperature data obtained by the system in 2006. The system will contribute to reduce economic damage of coastal fishery and to understand coastal marine environment.

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Nutrient Limitation of Phytoplankton in the Dongbok Lake: Analyses of Long-term data and Bioassay Experiments (동복호 식물플랑크톤의 제한 영양염 규명: 장기 자료 분석 및 생물검정조사)

  • Jeong, Byong-Kwan;Shin, Yong-Sik;Jang, Na-Mik;Kim, Sang-Don
    • Korean Journal of Ecology and Environment
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    • v.41 no.3
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    • pp.412-421
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    • 2008
  • Nutrient limitation was examined for the Dongbak Lake based on bioassay experiments and analyses of long-term monitoring data. From the results of data analyses, molar ratios of TN/TP and DIN/DIP were higher than 16 : 1 suggesting that phytoplankton growth was potentially limited by phosphorus. Phytoplankton responded to the addition of phosphates in the incubation experiments for all seasons whereas phytoplankton did not respond to other nutrients such as ammonia, nitrate and silicates. Size fraction (net and nano size) of phytoplankton also responded to the addition of phosphorus indicating that phytoplankton growth was limited by phosphorus in the Dongbok Lake. There was also a taxonomic shift from euglenophyceae to bacillariophyceae after addition of phosphate during warm season especially.

DTN Routing Protocol Utilizing Underwater Channel Properties in Underwater Wireless Sensor Networks (수중 무선센서네트워크에서 수중채널의 특성을 활용한 DTN 라우팅 프로토콜)

  • Park, Seongjin;Kim, Sungryul;Yoo, Younghwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.10
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    • pp.645-653
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    • 2014
  • Recently, the ocean field researches such as offshore plant, ocean survey and underwater monitoring systems are garnering the attention from both academy and industry. However, the communication in underwater environment is very difficult because of the unique irregular features in water. This is the reason that the application of terrestrial protocols to the water environment is not proper. This paper proposes a routing algorithm that can enhance communication reliability by utilizing channel properties in underwater environment. We address two problems that lead to the poor communication performance, signal attenuation and multi-path problem in water. Overcoming these problems, the proposed algorithm ensures high packet delivery ratio and low transmission delay. Also, this paper evaluates the performance through simulation.

A dynamic human reliability assessment approach for manned submersibles using PMV-CREAM

  • Zhang, Shuai;He, Weiping;Chen, Dengkai;Chu, Jianjie;Fan, Hao
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.2
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    • pp.782-795
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    • 2019
  • Safety is always acritical focus of exploration of ocean resources, and it is well recognized that human factor is one of the major causes of accidents and breakdowns. Our research developed a dynamic human reliability assessment approach, Predicted Mean Vote-Cognitive Reliability and Error Analysis Method (PMV-CREAM), that is applicable to monitoring the cognitive reliability of oceanauts during deep-sea missions. Taking into account the difficult and variable operating environment of manned submersibles, this paper analyzed the cognitive actions of oceanauts during the various procedures required by deep-sea missions, and calculated the PMV index using human factors and dynamic environmental data. The Cognitive Failure Probabilities (CFP) were calculated using the extended CREAM approach. Finally, the CFP were corrected using the PMV index. This PMV-CREAM hybrid model can be utilized to avoid human error in deep-sea research, thereby preventing injury and loss of life during undersea work. This paper verified the method with "Jiaolong" manned submersible 7,000 m dive test. The"Jiaolong" oceanauts CR(Corrected CFP) is dynamic from 3.0615E-3 to 4.2948E-3, the CR caused by the environment is 1.2333E-3. The result shown the PMV-CREAM method could describe the dynamic human reliability of manned submersible caused by thermal environment.