• Title, Summary, Keyword: Seasonal variation

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The Study of Elementary Preservice Teacher's Classes on Seasonal Variation (초등예비교사들의 계절변화 수업에 대한 연구)

  • Kim, Soon-Shik
    • Journal of the Korean Society of Earth Science Education
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    • v.5 no.3
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    • pp.245-255
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    • 2012
  • The purposes of this research are to analyze preservice elementary teachers' degree of difficulty in classes of seasonal variation and suggest the measures of classes so that preservice elementary teachers can progress classes of seasonal variation effectively. To achieve them, the research was conducted for 90 first graders completing teaching method of elementary science in P university of education from Sep. to Dec. 2012. This research was conducted, based on the results of in-depth interview for 9 preservice elementary teachers who performed classes of seasonal variation, survey on the degree of class difficulty and evaluation of classes on 8 classes theme of Earth sector in elementary science. The results of this research are as follows. The first, preservice elementary teachers had relatively high class difficulty for teaching seasonal variation among the sector of the earth in elementary science. The second, in the evaluation of preservice elementary teachers' classes, the more the subject showed high class difficulty, the more the score of class evaluation was low. The reason is analyzed that high class difficulty reduces teacher's confidence. The third, preservice elementary teachers had insufficient knowledges and concepts which are basically necessary for the classes of seasonal variation. Especially, it was more serious for preservice elementary teachers who didn't learn Earth-science during their high school time. The fourth, it is necessery that concrete and systematical teaching method should be developed so as to improving preservice elementary teachers' teaching method for the classes of seasonal variation.

Vegetation Classification Using Seasonal Variation MODIS Data

  • Choi, Hyun-Ah;Lee, Woo-Kyun;Son, Yo-Whan;Kojima, Toshiharu;Muraoka, Hiroyuki
    • Korean Journal of Remote Sensing
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    • v.26 no.6
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    • pp.665-673
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    • 2010
  • The role of remote sensing in phenological studies is increasingly regarded as a key in understanding large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for vegetation classification using seasonal variation patterns. The vegetation seasonal variation phase of Seoul and provinces in Korea was inferred using 8 day composite MODIS NDVI (Normalized Difference Vegetation Index) dataset of 2006. The seasonal vegetation classification approach is performed with reclassification of 4 categories as urban, crop land, broad-leaf and needle-leaf forest area. The BISE (Best Index Slope Extraction) filtering algorithm was applied for a smoothing processing of MODIS NDVI time series data and fuzzy classification method was used for vegetation classification. The overall accuracy of classification was 77.5% and the kappa coefficient was 0.61%, thus suggesting overall high classification accuracy.

Seasonal Variation in Catchability of Penaeid Prawns in the Night-time Prawn Fishery in Albatross Bay, Gulf of Carpentaria, Australia

  • Park Young Cheol;Warburton Kevin;Die David J.
    • Fisheries and aquatic sciences
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    • v.5 no.2
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    • pp.114-121
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    • 2002
  • A correction index of catchability (CIC) was derived using a 6 year research data set to examine the seasonal variation in catchability for the night time prawn fishery in Albatross Bay. CIC reflects the composite effect of the monthly variation in size selectivity, emergence­burying behaviour and population density variation of prawn populations. The values of CIC for four dominant species, Metapenaeus endeavouri, M. ensis, Penaeus semisulcatus and P. esculentus, were examined. The value of CIC for M. endeavouri varied substantially and was the highest in August. The values of CIC for M. ensis were high during November to March and the seasonality was weaker than that for M. endeavouri. The monthly variation in CIC for P. semisulcatus reflected the seasonal variation in population density, being high during November to February. These results suggest that the catch ability of P. esculentus is steady throughout the year but it varies greatly on a seasonal basis for M. endeavouri.

Seasonal Water Change Assessment at Mahanadi River, India using Multi-temporal Data in Google Earth Engine

  • Jena, Ratiranjan;Pradhan, Biswajeet;Jung, Hyung-Sup;Rai, Abhishek Kumar;Rizeei, Hossein Mojaddadi
    • Korean Journal of Remote Sensing
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    • v.36 no.1
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    • pp.1-13
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    • 2020
  • Seasonal changes in river water vary seasonally as well as locationally, and the assessment is essential. In this study, we used the recent technique of post-classification by using the Google earth engine (GEE) to map the seasonal changes in Mahanadi river of Odisha. However,some fixed problems results during the rainy season that affects the livelihood system of Cuttack such as flooding, drowning of children and waste material deposit. Therefore, this study conducted 1) to map and analyse the water density changes and 2) to analyse the seasonal variation of river water to resolve and prevent problem shortcomings. Our results showed that nine types of variation can be found in the Mahanadi River each year. The increase and decrease of intensity of surface water analysed, and it varies in between -130 to 70 ㎥/nf. The highest frequency change is 2900 Hz near Cuttack city. The pi diagram provides the percentage of seasonal variation that can be observed as permanent water (30%), new seasonal (28%), ephemeral (12%), permanent to seasonal (7%) and seasonal (10%). The analysis is helpful and effective to assess the seasonal variation that can provide a platform for the development of Cuttack city that lies in Mahanadi delta.

Bottom Loss Variation of Low-Frequency Sound Wave in the Yellow Sea (황해에서 저주파 음파의 해저손실 변동)

  • Kim, Bong-Chae
    • Ocean and Polar Research
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    • v.29 no.2
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    • pp.113-121
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    • 2007
  • The sound wave in the sea propagates under the effect of water depth, sound speed structure, sea surface roughness, bottom roughness, and acoustic properties of bottom sediment. In shallow water, the bottom sediments are distributed very variously with place and the sound speed structure varying with time and space. In order to investigate the seasonal propagation characteristics of low-frequency sound wave in the Yellow Sea, propagation experiments were conducted along a track in the middle part of the Yellow Sea in spring, summer, and autumn. In this paper we consider seasonal variations of the sound speed profile and propagation loss based on the measurement results. Also we quantitatively investigate variation of bottom loss by dividing the propagation loss into three components: spreading loss, absorption loss, and bottom loss. As a result, the propagation losses measured in summer were larger than the losses in spring and autumn, and the propagation losses measured in autumn were smaller than the losses in spring. The spreading loss and the absorption loss did not show seasonal variations, but the bottom loss showed seasonal variations. So it was thought that the seasonal variation of the propagation loss was due to the seasonal change of the bottom loss and the seasonal variation of the bottom loss was due to the change of the sound speed profile by season.

Seasonal Variation of Global Volume Transport Calculated from an Ocean General Circulation Model

  • Jang, Chan-Joo;Noh, Yign;Kim, Cheol-Ho
    • Ocean and Polar Research
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    • v.24 no.1
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    • pp.1-18
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    • 2002
  • Seasonal variation in global transport calculated from an ocean general circulation model (OGCM) has been assessed through the comparison with observational estimates. The OGCM based on the GFDL MOM1.1 has honzontal grid interval of 10 and 21 verticle levels, and was integrated for 31 years forced by climatological wind stress, freshwater flux, and heat flux with restoring. General features of the world ocean circulation are well reproduced, which include the western boundary currents such as the Kuroshio and the Agulhas Current, the Equatorial Current system, the Antarctic Circumpolar Current, and the Weddell Sea gyres. Also well resolved is the remarkable seasonal variation in the depth-integrated flows in the northern Indian Ocean due to the monsoonal wind. Monthly variation is found to be dominant in the transport of the Antarctic Circumpolar Current through the Drake Passage in accordance with observational estimates. It has been shown that the mid-latitude depth-integrated flows obey the Sverdrup relation, except for some regions such as continental shelf regions where the interaction between stratification and bottom topography is critical.

A Geostrophic Adjustment Model of the Seasonal Variation of the Ulleung Warm Eddy

  • Seung Young Ho
    • Fisheries and aquatic sciences
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    • v.4 no.3
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    • pp.101-111
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    • 2001
  • In an attempt to demonstrate the seasonal variation of the Ulleung Warm Eddy (UWE), in which the UWE changes its shape from a warm core ring in early spring to a warm lens in late summer under the effect of surrounding East Korean Warm Current (EKWC) Water, a simple geostrophic adjustment model is considered. Model results indicate that the buoyancy increase of the EKWC Water and the strengthening of the EKWC towards summer, both of which are typical of this region, are the major factors governing the seasonal variation of the UWE.

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Seasonal Variation of Edible Portion Yield and Coefficient of Fatness of Pacific Oyster (Crassostrea gigas) in Kamak Bay, Korea

  • Park Choon-Kyu
    • Fisheries and aquatic sciences
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    • v.6 no.4
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    • pp.220-224
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    • 2003
  • In order to determined the appropriate processing season of Pacific oyster (Crassostrea gigas), 30 individuals cultured in Kamak Bay on the southern coast of Korea were taken bimonthly 7 times a year, and seasonal variation of edible portion weight, edible portion yield and coefficient of fatness were investigated. There were close relationships between edible portion weight (X) and total weight (Y) and between coefficient of fatness (X) and edible portion yield (Y), which were expressed in regression lines, i.e. Y=0.2709X-1.9094 (r=0.9254) and Y=44.0596X+ 15.1127 (r=0.8485), respectively. From the results of seasonal variation of edible portion weight, yield and coefficient of fatness, the appropriate processing season of raw Pacific oyster was between winter and spring, that is, between December and following April the next year.

Alkaloid Constituents of Aconitum triphyllum NAKAI and their Seasonal Variation (세잎돌쩌기의 알칼로이드 성분과 함량의 계절적 변화)

  • Lee, Jin-Woo;Park, Jong-Hee;Kim, Hye-Kyung;Lee, Chung-Kyu
    • Korean Journal of Pharmacognosy
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    • v.35 no.2
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    • pp.128-133
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    • 2004
  • Aconitum triphyllum Nakai, the Korean spontaneous perennial herb, is one of the most important materials of oriental drug Fu-zi(aconite) and has long been used as cardiotonic for arrhythmia, analgesic and antiinflammatory drug in oriental countries. Although the plant is widely used for the preparation of aconite, the composition and amount of the toxic aconitine type alkaloids have not studied so far. As the preliminary study for seasonal variation of major constituents in mother tuber and daughter tuber of the plant, the authors tried to elucidate phytochemical characteristics of $C_{19}-diterpenoid alkaloids by $^{13}C-NMR$ spectra and seasonal variation of the alkaloidal contents by high performance liquid chromatography.

Seasonal Variation of Species Composition in Marine Organisms at Oryukdo in the Southeastern waters off Korea (오륙도 주변해역 해양생물의 종조성과 계절변동)

  • Kim, Jung-Yun;Kim, Jung-Nyun;Choi, Jung-Hwa
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.6
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    • pp.781-792
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    • 2012
  • Seasonal variation of species composition in marine organisms around Oryukdo of Busan was investigated using a gill net between 2009 and 2011. A total of 82 species, 52 families, and 6 taxa were collected during the sampling periods. Species were included two species in Cnidaria, one in Urochordata, 12 in Mollusca, 12 in Crustacea, seven in Echinodermata, and 48 in Pisces. The dominant species were Crepidula onyx, Asterina pectinifera, Ceratostoma burnetti, Asterias amurensis, Anthocidaris crassispina, and Trachurus japonicus. These six species accounted for 48.4% in the total number. Diversity indices were highest in spring 2009 (2.77) and lowest in spring 2011 (1.66). Seasonal variation of species composition and abundance in marine organisms corresponded with the water temperature.