• Title/Summary/Keyword: Red Tide Prediction

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Red Tide Blooms Prediction using Fuzzy Reasoning (퍼지 추론을 이용한 적조 발생 예측)

  • Park, Sun;Lee, Seong-Ro;Park, Seok-Cheon;Lim, Yang-Seop;Sin, Jun-Woo;Kwuan, Jang-U
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.294-296
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    • 2011
  • 적조란 유해조류의 일시적인 대 번식으로 바다물의 색깔이 변하는 자연현상으로 어패류를 집단 폐사시킨다. 적조에 의한 양식어업의 피해가 증가함에 따라서 적조에 대한 많은 연구가 이루어지고 있다. 특히 적조 발생을 미리 예측할 수 있으면 적조에 대한 피해를 최소화 시킬 수 있다. 그러나 국내의 적조 현상 예측에 대한 연구는 단순히 적조발생 판별에 그치는 등 미흡한 실정에 있다. 본 논문은 퍼지 추론을 이용한 새로운 적조발생 예측 방법을 제안한다.

Marine Environment Monitoring and Analysis System Model (해양환경 모니터링 및 분석 시스템의 모델)

  • Park, Sun;Kim, Chul Won;Lee, Seong Ro
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.10
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    • pp.2113-2120
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    • 2012
  • The study of automatic monitoring and analysis of marine environment in Korea is not enough. Recently, the marine monitoring technology is actively being studied since the sea is a rich repository of natural resources that is taken notice in the world. In particular, the marine environment data should be collected continuously in order to understand and analyze the marine environment, however the marine environment monitoring is limited in many area yet. The prediction of marine disaster by automatic collecting marine environment data and analyzing the collected data can contribute to minimized the damages with respect to marine pollution of oil spill and fisheries damage by red tide blooms and marine environment upsets. In this paper, we proposed the marine environment monitoring and analysis system model. The proposed system automatically collects the marine environment information for monitoring the marine environment intelligently. Also it predicts the marine disaster by analyzing the collected ocean data.

Prediction System of Hydrodynamic Circulation and Freshwater Dispersion in Mokpo Coastal Zone (목포해역의 해수유동 및 담수확산 예측시스템)

  • Jung, Tae-Sung;Kim, Tae-Sik
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.11 no.1
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    • pp.13-23
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    • 2008
  • In coastal region, eutrophication, Do deficit and red tide are frequently occurred by influx of fresh water. When the fresh water containing pollutants is discharged into the sea, the surrounding water is contaminated by dispersion of freshwater flowing into coastal waters. The prediction and analysis about the dispersion process of the discharged fresh water should be conducted. A modeling system using GUI was developed to simulate hydrodynamic flow and fresh water dispersion in coastal waters and to analyze the results efficiently. The modeling module of the system includes a tide model using a finite element method and a fresh water dispersion model using a particle-tracking method. This system was applied to predict the tidal currents and fresh water dispersion in Mokpo coastal zone. To verify accuracy of the hydrodynamic model, the simulation results were compared with observed sea level and time variations of tidal currents showing a good agreement. The fresh water dispersion was verified with observed salinity distribution. The dispersion model also was verified with analytic solutions with advection-diffusion problems in 1-dimensional and 2-dimensional simple domain. The system is operated on GUI environment, to ease the model handling such as inputting data and displaying results. Therefore, anyone can use the system conveniently and observe easily and accurately the simulation results by using graphic functions included in the system. This system can be used widely to decrease the environmental disaster induced by inflow of fresh water into coastal waters.

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The Prediction of Water Quality in Ulsan Area Using Material Cycle Model (물질순환모델을 이용한 울산해역의 수질예측)

  • SHIN BUM-SHICK;KIM KYU-HAN;PYUN CHONG-KUN
    • Journal of Ocean Engineering and Technology
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    • v.20 no.1 s.68
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    • pp.55-62
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    • 2006
  • Recently, pollution by development in coastal areas is going from bad to worse. The Korean government is attempting to make policies that prevent water pollution, but it is still difficult to say whether such measures are lowering pollution to an acceptable level. More specifically, the general investigation that has been done in KOREA does not accurately reflect the actual conditions of pollution in coastal areas. An investigation that quantitatively assesses water quality management using rational prediction technology must be attempted, and the ecosystem model, which incorporates both the 3-dimensional hydrodynamic and material cycle models, is the only one with a broad enough scope to obtain accurate results. The hydrodynamic model, which includes advection and diffusion, accounts for the ever-changing flow and (quality) of water in coastal areas, while the material cycle model accounts for pollutants and components of decomposition as sources of the carbon, phosphorus, and nitrogen cycles. In this paper, we simulated the rates of dissolved oxygen (DO), chemical oxygen demand (COD), total nitrogen(T-N) and total-phosphorous(T-P) in Korea's Ulsan Area. Using the ecosystem model, we did simulations using a specific set of parameters and did comparative analysis to determine those most appropriate for the actual environmental characteristics of Ulsan Area. The simulation was successful, making it now possible to predict the likelihood of coastal construction projects causing ecological damage, such as eutrophication and red tide. Our model can also be used in the environmental impact assessment (EIA) of future development projects in the ocean.

A study on the estimation of the oily bilge water and waste lubricating oil produced from fishing vessels (어선의 선저폐수 및 폐윤활유 발생량 추정 연구)

  • Jeong H. J.;Kwon K. S.
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.5 no.1
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    • pp.30-37
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    • 2002
  • Recently, there have been frequent environmental threats associated with the red tide. The discharge of bilge water and waste lubricating oil from fishing vessels is known to be the major cause of such problems. In oder to treat those wastes, post processing units at harbours are being considered, and an accurate prediction of the amount of such wastes is required. In this paper we have proposed a method to estimate the amount of bilge water and waste lubricating oil from fishing vessels. We identified the key parameters affecting the quantity of oily bilge water and waste lubricating oil, and proposed a prediction model. We applied the present model to estimate the quantity of oily bilge water and waste lubricating oil in the sample fishing port.

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Application of DNA Content and Total Protein Concentration to Predict Blooms Caused by Cochlodinium polykrikoides (Dinophyceae) in Korean Coastal Waters (total DNA 및 단백질 함량변화에 의한 C. polykrikoides 조기적조 예측 응용)

  • Cho, Eun-Seob;Park, Yong-Kyu
    • Journal of Life Science
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    • v.14 no.2
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    • pp.255-262
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    • 2004
  • We applied nuclear DNA content stained with 4'-6'-diamidino-2-phenylindole (DAPI) and total protein concentration to predict the existence of Cochlodinium polykrikoides before huge blooms occurred, based on a short-term survey at sites in the South Sea. Fluctuations in environmental conditions and nutrients (nitrate, nitrite, and phosphate) were of a similar range, regardless of sampling sites or early and middle field observations. However, C. polykrikoides abundance was significantly different depending on the station, with a higher cell density of 34, 62, and 57 cells L$^{-1}$ at Stn C2, C5, and C6, respectively than what was found in early August, 2000. In mid August, 2000, the highest cell density of 547 cells L$^{-1}$ at Stn C3 was observed. The relationship between C. polykrikoides abundance, DAPI-stained DNA content, and total protein concentration was a positive correlation coefficient, in particular a higher positive correlation was exposed to even a smaller abundance of C. polykrikoides. These results suggest that DNA stained by DAPI and total protein concentration could play an important index in easily predicting the presence of C. polykrikoides before blooms.

Prediction of Change in Growth Rate of Algae in Jinhae Bay due to Cooling Water Discharge (냉배수 방류에 따른 진해만의 해조류 성장 속도 변화 예측)

  • Park, Seongsik;Yoon, Seokjin;Lee, In-Cheol;Kim, Byeong Kuk;Kim, Kyunghoi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.308-323
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    • 2021
  • In this study, we aimed to evaluate the environmental changes in Jinhae Bay caused by cooling water using numerical modeling. Cooling water discharge volume from the results of Case 1 (10 m3 sec-1) showed that the environmental changes in Jinhae Bay were extremely insignificant throughout the study period. In the simulation conditions of Case 2 (100 m3 sec-1), there was a decrease in water temperature of approximately 1 - 3℃ within a 5 km radius from the discharge outlet. In Case 3 (1000 m3 sec-1), a decrease in water temperature of up to 4 - 5℃ was observed within a radius of 8 km from the discharge outlet and cooling water discharge spread throughout the Bay. Growth rate of microalgae decreased by up to 15 % in November, whereas it increased by up to 6 % near the Hangam Bay in Case 3. From the above results, we confirmed that the environmental changes in Jinhae Bay due to cooling water discharged from Tongyeong LNG station are extremely insignificant. Moreover, it is expected that cooling water discharge could be utilized as a counter measure for 'red tide bloom' or 'macroalgae growth'.

Introduction and Evaluation of the Production Method for Chlorophyll-a Using Merging of GOCI-II and Polar Orbit Satellite Data (GOCI-II 및 극궤도 위성 자료를 병합한 Chlorophyll-a 산출물 생산방법 소개 및 활용 가능성 평가)

  • Hye-Kyeong Shin;Jae Yeop Kwon;Pyeong Joong Kim;Tae-Ho Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1255-1272
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    • 2023
  • Satellite-based chlorophyll-a concentration, produced as a long-term time series, is crucial for global climate change research. The production of data without gaps through the merging of time-synthesized or multi-satellite data is essential. However, studies related to satellite-based chlorophyll-a concentration in the waters around the Korean Peninsula have mainly focused on evaluating seasonal characteristics or proposing algorithms suitable for research areas using a single ocean color sensor. In this study, a merging dataset of remote sensing reflectance from the geostationary sensor GOCI-II and polar-orbiting sensors (MODIS, VIIRS, OLCI) was utilized to achieve high spatial coverage of chlorophyll-a concentration in the waters around the Korean Peninsula. The spatial coverage in the results of this study increased by approximately 30% compared to polar-orbiting sensor data, effectively compensating for gaps caused by clouds. Additionally, we aimed to quantitatively assess accuracy through comparison with global chlorophyll-a composite data provided by Ocean Colour Climate Change Initiative (OC-CCI) and GlobColour, along with in-situ observation data. However, due to the limited number of in-situ observation data, we could not provide statistically significant results. Nevertheless, we observed a tendency for underestimation compared to global data. Furthermore, for the evaluation of practical applications in response to marine disasters such as red tides, we qualitatively compared our results with a case of a red tide in the East Sea in 2013. The results showed similarities to OC-CCI rather than standalone geostationary sensor results. Through this study, we plan to use the generated data for future research in artificial intelligence models for prediction and anomaly utilization. It is anticipated that the results will be beneficial for monitoring chlorophyll-a events in the coastal waters around Korea.