• Title/Summary/Keyword: 부화계수

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Geochemical Characteristics and Contamination of Surface Sediments in Streams of Gwangju City (광주광역시 하천의 표층퇴적물에 대한 지구화학적 특성과 오염)

  • Kim, Joo-Yong;Koh, Young-Koo;Youn, Seok-Tai;Shin, Sang-Eun;Park, Bae-Young;Moon, Byoung-Chan;Kim, Hai-Gyoung;Oh, Kang-Ho
    • Journal of the Korean earth science society
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    • v.24 no.4
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    • pp.346-360
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    • 2003
  • In order to investigate the geochemical characteristics of surface sediments in streams of Gwangju City, sediment samples from the main stream of Yeongsan river, Hwangryong river, and Gwangjucheon in the city were collected and analyzed for grain size and metal and organic carbon contents. The sediment types of the streams widely vary from pebble to mud. The metal contents in the sediments from Yeongsan river and Hwangryong river are mainly dependent on the grain size of the sediments and the geology around the streams, while the sediments in Gwangiucheon are controlled by organic matter contents from the domestic sewage. The enrichment factor (Ef) and index of geoaccumulation (Igeo) representing the degree of metal contamination in the sediments are relatively low in the mainstream of Yeongsan river and Hwangryong river. However, those of Gwangjucheon show EF values of P=8.30, Cu=5.54, Zn=14.28 and Pb=7.41 and Igeo values of P=3.78, Cu=2.79, Zn=3.66 and Pb=1.59. The heavy metal contamination is especially significant near the area where the Seobangcheon and Donggyecheon branches of Gwanjucheon, join. Therefore, it is suggested that the metallic contaminations of these small streams are significantly influenced by the domestic sewage of the city.

Geochemical characteristics on the petrological groups of stream sediments and water in primary channels of the Jangheung area, Korea (장흥지역 1차수계 하상퇴적물의 지질집단별 지구화학적 특성과 하천수에 대한 연구)

  • 박영석;김종균;한민수;김용준;장우석;신성천
    • Economic and Environmental Geology
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    • v.35 no.6
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    • pp.509-521
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    • 2002
  • The purpose of this study is to find out geochemical characteristics of stream sediments which are good indicator of geochemical hazard valuation and water in primary channels of the Jangheung area. We separated three groups which were granitoid area, granite gneiss area and tuffeous area by petrological properties. Physical and chemical characteristics of stream water such as temperature, pH, and EC were measured in the field between 1999 and 2001 and stream sediments samples were collected from April to May in 1999. For the chemical analysis of stream sediments samples, XRF, ICP-AES and NAA were used. The contents of the major elements had a similar contents in three groups and those of rare earth elements in granite gneiss area were lower value than those of other two groups. Zn and Cu were higher value than the other toxic elements. Through the enrichment factor and enrichment index features of the elements, we knew that $Fe_2O_3$, MgO, $TiO_2$, MnO and Eu, Yb of the tuffeous area samples and Co, Cr, Zn were enriched.

Dispersion and Enrichment of Potentially Toxic Elements of Farmland Soils from the Boeunjeil Mine Area, Korea (보은제일광산일대의 밭토양에 대한 독성원소들의 분산과 부화)

  • Yoo, Bong-Chul;Kim, Ki-Jung;Lee, Chan-Hee;Lee, Hyun-Koo
    • Economic and Environmental Geology
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    • v.40 no.1 s.182
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    • pp.15-28
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    • 2007
  • The study is for contaminations of major, rare earth and trace elements of the farmland soils from the Boeunjeil mine area. The results are compared with the soils of Chungjoo, Deokpyeong, Boeun and Chubu areas. Fe and S contents of the contaminated area are high relative to those from the uncontaminated areas, Chungjoo and Boeun areas. Trace elements of the contaminated area are high relative to those from uncontaminated area, Chunajoo, Deokpyeong, Boeun and Chubu areas. The trace elements ares divided into Cd, Ni, Sr, U, V, Zn and As, Co, Cu, Mo, Pb, Sb, based on these dispersion and correlation. Two groups show the positive correlation. Enrichment factor of potentially toxic elements from contaminated area is >5 value, but <4 value in the uncontaminated area. In the geoaccumulation index of the minor elements, the contaminated area has >1 value and the uncontaminated area has <1 value except Mn. Enrichment index of potentially toxic elements(As, Cd, Co, Cu, Ni, U, Zn) ranges from 0.3 to 87.0 in the contaminated area and from 0.4 to 3.9 in the uncontaminated area. Overall results show that the high contents of farmland soils for the elements(Fe, S, As, Cd, Co, Cu, Ni, U, Zn) indicate the contamination by coal-related activities.

점곤쟁이, Neomysis awatschensis에 대한 수종 중금속의 96시간-반수치사농도와 난부화율과의 관계

  • Jin, Pyung;Lee, Jung-A;Kim, Kyung-Sun;Kim, Jae-Won;Lee, Jung-Sik;Kim, Heung-Yoon;Lee, Bok-Kyu;Shin, Yoon-Kyung
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2002.10a
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    • pp.224-225
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    • 2002
  • 환경오염원의 단기독성 생물검정 시험 결과로부터 중장기적인 생리적 저해영향을 파악하는 것은 검정해야 할 중요한 과제의 하나다. 효율성 때문에 단기독성시험을 위주로 하지만, 재생산에 관련되는 중ㆍ장기적 피해를 예측하는 것은 지난한 일이다. Tabata(1979)는 수산생물에 대한 각종 수질오염물질의 반수치사농도와 난부화에 미치는 장기영향한계농도와의 관계를 개관하여 단기와 장기간에 0.1∼0.001의 적용계수를 제시한바 있다. (중략)

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The Sub-pixel Image Magnification Using Adaptive Warped Distance Calculation (적응적 왜곡 거리 계산을 이용한 부화소 기반 영상 확대)

  • Yoo, Jae-Wook;Park, Dae-Hyun;Kim, Yoon;Kim, Man-Bae;Jung, In-Bum
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06b
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    • pp.208-213
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    • 2007
  • 본 논문에서는 디지털 영상의 해상도를 부화소 기반의 새로운 적응적 선형보간법으로 변경하는 방법을 제안한다. 일반적 선형보간법에서 고정된 위치로 쓰이는 거리계수를 왜곡된 거리 계산에 의한 화소 가중치를 주는 방법으로 개선한다. 이를 계산하기 위하여 최소 평균 자승 에러(minimum mean square error, MMSE)를 이용한다. 원영상과의 차이를 최소화하는 왜곡 거리 계산을 위하여 이웃한 보간 화소와 왜곡거리를 참조하게 된다. 이를 사용하면 복잡도가 높지 않은 효과적인 화소 보간을 할 수 있고 실험 결과 일반적인 보간법과 비교할 때 PSNR(peak signal to noise ratio)과 주관적 화질 면에서 우수함을 알 수 있었다.

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Speaker Recognition using LPC cepstrum Coefficients and Neural Network (LPC 켑스트럼 계수와 신경회로망을 사용한 화자인식)

  • Choi, Jae-Seung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2521-2526
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    • 2011
  • This paper proposes a speaker recognition algorithm using a perceptron neural network and LPC (Linear Predictive Coding) cepstrum coefficients. The proposed algorithm first detects the voiced sections at each frame. Then, the LPC cepstrum coefficients which have speaker characteristics are obtained by the linear predictive analysis for the detected voiced sections. To classify the obtained LPC cepstrum coefficients, a neural network is trained using the LPC cepstrum coefficients. In this experiment, the performance of the proposed algorithm was evaluated using the speech recognition rates based on the LPC cepstrum coefficients and the neural network.

Wet Deposition of Heavy Metals during Farming Season in Taean, Korea (태안지역 강우의 중금속 함량 평가)

  • Jung, Goo-Bok;Kim, Min-Kyeong;Lee, Jong-Sik;Kim, Won-Il;Kim, Gun-Yeob;Ko, Byong-Gu;Kang, Kee-Kyung;Kwon, Soon-Ik
    • Korean Journal of Environmental Agriculture
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    • v.30 no.2
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    • pp.153-159
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    • 2011
  • BACKGROUND: This experiment was conducted to investigate the distribution and burden characteristics of heavy metal in the rainwater sampled at Taean area, in the middle part of Korea, from April 2002 to October 2003. METHODS AND RESULTS: The relationship between concentration of heavy metal and other chemical properties in the rainwaters was also evaluated. Chemical properties in the rainwater were various differences with raining periods and years. It appeared that a weighted average pH values of rainwater was ranged from 5.0 to 5.1. Heavy metal concentrations in the rainwater were ranked as Pb > Zn > Cu > Ni > As > Cr > Cd. As compared with heavy metal concentrations of rainwater in 2002, Cu, Pb, and Zn were higher than other elements in 2003. There were positive correlation between major ionic components, such as ${NH_4}^+$, $Ca^{2+}$, $Mg^{2+}$, $K^+$, $Na^+$, ${SO_4}^{2-}$ and ${NO_3}^-$, and As, Cd, Zn, Cr, and Ni concentrations in rainwater. For heavy metal distribution of rainwater, the order of average enrichment factor was Cd > Pb > As > Cu > Zn > Ni > Cr, and these were relatively higher than the natural components such as Fe, Mg and Ca. The monthly enrichment factor were relatively high, from August to October at Taean. The monthly amount of heavy metal precipitation was high in the rainy season from July to August because of great influence of rainfall. CONCLUSION(s): The results of this study suggest that the heavy metals(Cd, Pb, As, Cu, and Zn) of rainwater is strongly influenced by anthropogenic sources rather than natural sources.

BREEDING OF THE PUFFER FUGU RUBRIPES (자주복 Fugu rubripes (Temminck et Schlegel)의 종묘 생산에 관한 연구)

  • PYEN Choong-Byu;RHO Bum
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.3 no.1
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    • pp.52-64
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    • 1970
  • Fingerlings hatched from the eggs of the puffer, Fugu rubripes, which were spawned on May 21, 1969, and were cultivated. The results of their growth during 150 days, until October 25th, are summarized as follows: 1. The eggs began to hatch after 163 hours, at a water temperature of 15.9 to $17.4^{\circ}C$, and the hatching rate was $61.56\%$. 2. They reached the post-larval stage 6 to 7 days after hatching, and at this time a high mortality occurred. The mortality rate was 57.26 to $68.0\%$. 3. Sixteen days after hatching some of the larger fingerlings (6.7mm in total length) began attacking some of the smaller ones (4.6mm in to total length). 4. Twenty five to twenty eight days after hatching, the fish changed their food, and at this time a second high mortality occured. The total mortality rate amounted to 90.7 to $90.9\%$ of the total hatch. 5. After the fingerling stage. cannibalism occurs. The fish usually attack the caudal part of other fingerlings. It occurs regardless of body length and when the food supply is short. 6. The food coeffiicient at the age of 46 days (when body length is 53 to 68 mm) was 5.5 for short-necked clams, 8.5 for earth-worms, and 8.7 for fishes. 7. A third hish mortality occurred 53 to 63 days after hatching, the total mortality amounting to 95.76 to $97.34\%$, and the main cause of the mortality was found to be rickets resulting from nutritional deficiency 8. The growth rates were as follows: 2.68mm just after hatching, 3.84mm at the age of 10 days; 7.96mm after 25 days; 20.96mm or 130mg after 40 days; 73.68mm or 9.06g after 80 days: and 123mm or 31.8g after 150 days. 9. The water temperature during the above period was 15.7 to $28.4^{\circ}C$ with an average of $22.10^{\circ}C$ and the salinity was 25.53 to $34.50\%$ with an average of $32.07\%$, 10. The young of this species could endure well a wide range and sudden rise in salinity, and could survive easily when the salinity suddenly fell to $5\%$, but a considerable mortality occured when it fell to $3\%$. 11. When the fish were tranferred directly to fresh water from normal sea water they died out in 9 hours and 40minutes. However, when transferred from water of $5\%$ salinity at which they were reared for 54 days, they survived for 60 hours and 40 mimutes longer than in the former case.

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Migration and Enrichment of Arsenic in Rock-Soil-Crop Plant System in Areas Covered with Black Shale and Slates of Okchon Zone (옥천대 흑색셰일 및 점판암 분포지역 암석-토양-농작물 시스템에서의 As및 관련 원소들의 분산과 이동)

  • 이지민;전효택
    • Economic and Environmental Geology
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    • v.36 no.4
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    • pp.295-304
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    • 2003
  • The Dukpyung and the Chubu areas were selected to investigate the migration and enrichment of arsenic and other toxic elements in soils and crop plants in areas covered with black shales. Rock and soil samples digested in 4-acid solution (HCI+HNO$_3$+HF+HC1O$_4$) were analyzed fer arsenic and other heavy metals by ICP-AES and ICP-MS, and plant samples by INAA. Mean concentration of As in Okchon black shale is higher than those of both world average values of shale and black shale. Especially high concentration of 23.2 mg/kg As is found in black shale from the Dukpyung area. Mean concentration of As is highly elevated in agricultural soils from the Duk-pyung (28.2 mg/kg) and the Chubu areas (32.6 mg/kg). Arsenic is highly elevated in rice stalks and leaves from the Dukpyung (1.14 mg/kg) and the Chubu areas (1.35 mg/kg). The biological absorption coefficient (BAC) of As in plant species decreases in the order of rice leaves>com leaves>red pepper>soybean leaves=sesame leaves>corn stalks>corn grains.