• Title/Summary/Keyword: submarine forest

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Structure and Function of Submarine Forest 2. Population Dynamics of Ecklonia stolonifera as a Submarine Forest-Forming Component

  • Kim, Nam-Gil;Yoo, Jong-Su
    • ALGAE
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    • v.18 no.4
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    • pp.295-299
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    • 2003
  • The population dynamics of Ecklonia stolonifera was investigated at Tongyeong coastal area in the South Sea of Korea. The blade length and width, stipe length and diameter, mean total length and mean weight were measured from randomly collected fifty individuals in every month. The plants in Tongyeong population were relatively bigger than those of Busan Korea and Aomori Japan in terms of their blade length and width. The population biomass was low in winter and high in spring and summer. The sporangial sori were found from August to December but prominent in September and October. About 90 % of the Tongyeong population was consisted of one- and two-year old plants and the zoosporangial sori were observed mostly in two-year old plants. It was different from the results of Busan and Aomori population in which the zoosporangial sori were observed from the plants older than three years. The new populations were developed from the zoospores of two-year old plants and their generation time was relatively shorter than those of Busan and Aomori.

Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data

  • Kim, Young-Joo;Lee, Soo-Jin;Kim, Young-Won
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.47-55
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    • 2022
  • Recently, researches on the prediction of sea water temperature using artificial intelligence models has been actively conducted in Korea. However, most researches in the sea around the Korean peninsula mainly focus on predicting sea surface temperatures. Unlike previous researches, this research predicted the vertical sea water temperature profile of the East Sea, which is very important in submarine operations and anti-submarine warfare, using XBT(eXpendable Bathythermograph) data and machine learning models(RandomForest, XGBoost, LightGBM). The model was trained using XBT data measured from sea surface to depth of 200m in a specific area of the East Sea, and the prediction accuracy was evaluated through MAE(Mean Absolute Error) and vertical sea water temperature profile graphs.

Structure and Function of Submarine Forest -1. Age and Growth of Myagropsis myagroides (Phaeophyta) at Tongyeong- (해중림의 구조와 기능 -1. 통영산 외톨개모자반(MYAGROPSIS MYAGROIDES) 개체군의 연령과 생장-)

  • Kim,Nam-Gil;Yu,Jong-Su
    • ALGAE
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    • v.18 no.4
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    • pp.289-294
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    • 2003
  • The age growth pattern of Myagropsis mygroides (Cystoseiraceae, Phaeophyta)population were investigated at Tongyeong (128$^{\circ}$ 25' E and 34$^{\circ}$ 45' N) in South coast of Korea, from September 1998 to August 1999. Water temperatures varied from 7.7${^{\circ}C}$ to 26${^{\circ}C}$ during the survey period. Distinct seasonal changes were found in the plant legth and wet weight of plant, and their maximum length and wet weight were attained 70.5(${\pm}$ 20.9) cm and 191.8(${\pm}$ 135.0) g during April and May. The growth patterns were divided into four periods of slow growth (September-November), fast growth (December-February), maturing growth (March-May) and declining period (June-August). The Tongyeong population of M. myagroides was dominated by less than three-year old small plants with slower growth rates, shorter plant length, lighter plant weight than those of other locations in Korea.