RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
          펼치기
        • 등재정보
          펼치기
        • 학술지명
          펼치기
        • 주제분류
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • 광주지방 부유분진의 농도변화

        柳贊洙,金銀貞 조선대학교 기초과학연구소 1996 自然科學硏究 Vol.19 No.1

        This study analyzes the diurnal, seasonal and annual variations of TSP in Kwangju and investigates the relation of TSP to air temperature and to RH. The data used in this study are observed from Meteorological Office and Environmental Bureau in Kwangju and the period of observation was from Jan. 1, 1991 to Dec. 31, 1993. The diurnal variation of TSP shows two vibration curves and the diurnal means are 67.9㎍/㎥. The time the diurnal maximum value is shown is 10:00 A.M. and that diurnal minimum value is shown is 06:00 A.M. The diurnal range is 55.9㎍/㎥. In this diurnal variation of TSP by season, the concentration is high in winter, spring, autumn and summer in order. The annual variation of TSP shows one vibration curve, the maximum value in April and the minimum one in August. The annual range is 43.6㎍/㎥. As a result of the regression analysis for examining the relations of TSP to air temperature and to RH, a regular polynomial regression expression is made on time series. TSP has a great significance in the diurnal variation with air temperature, but it has a little significance in the annual variation. TSP and RH have a significance in the diurnal and annual variation and show the inverse propertion with them.

      • KCI등재
      • KCI등재후보

        특별기상관측자료를 이용한 기압골 통과시 황해중부해상의 기상특성

        류찬수,안명환 한국자료분석학회 2002 Journal of the Korean Data Analysis Society Vol.4 No.4

        및 토의1999년 4월 10일부터 4월 14일까지 서해중부해상에 위치한 외연도에서 실시된 집중기상(지상, 고층)관측을 통해 생산된 자료를 이용하여 기압골 통과시 서해상의 지상기상요소의 일변화와 혼합층의 성장 과정에 관해 육상 관측소의 그것들과 비교하여 해상 기상특성을 조사하였으며, 그 결과는 다음과 같이 요약된다.1. 관측기간동안 외연도의 평균기온과 최저기온은 육상관측소(보령,서산)와 비슷하게 나타났지만 최고기온은 5℃정도 차이가 났다. 이는 해양상에 위치한 외연도는 지표면의 복사가열이 육상관측소만큼 뚜렷하지 않기 때문으로 사료된다. 외연도에서 상대습도는 육상관측소보다 10%정도 높게 나타났으며, 평균 풍속은 4.6m/s, 풍향의 최대 발생빈도는 북서풍으로 전체의 35%를 차지하였다. 풍속의 변화 양상과 풍향의 발생빈도는 보령지점보다는 해안에 인접한 서산지점의 그것들과 유사하게 나타났다. 기압의 변화에서는 종관 기압계의 진행방향과 관련하여 최저기압의 출현시각이 외연도에서는 4월 12일 1450LST, 보령지점과 서산지점은 각각 4월 12일 1500LST와 1800LST로 나타났다. 이러한 기상요소들의 일변화 특성은 해양상에 위치한 외연도의 주변 환경, 다시 말해 해양의 큰 열용량이 기온의 일변화에 미치는 영향, 바람의 변화에 미치는 지형의 영향 등에 기인된다. 2. 온위의 연직분포로 부터 구한 외연도의 평균 혼합층 고도는 900m였으며 이동성 고기압의 영향을 받는 4월 10, 13, 14일의 혼합고가 기압골의 영향하인 4월 11, 12일보다 높았다. Holzworth (1972)의 방법으로 구한 오산의 혼합층 고도는 기압골이 통과한 날인 4월 12일의 경우 외연도보다 혼합층 고도가 높았는데 이는 지면의 성질에 따른 지상 온도의 상승에 따른 내부 혼합층의 증가로 해석된다. 풍속이 약한 관측기간의 전반부가 후반부에 비하여 혼합층이 높게 나타났다.이러한 연구결과는 동계 서해상의 기단변질 모형의 개발, 육지에 상륙하기전 해상에서 기압골의 연직구조의 조기 파악 그리고 육상의 단기기상예보 향상에 매우 중요한 기초연구가 된다.

      • 호남 서해안지방과 영동지방의 강설 특성에 관한 비교 연구

        柳贊洙,鄭炳玉 조선대학교 기초과학연구소 1996 自然科學硏究 Vol.19 No.1

        This paper aims to describe the characteristics of snowfall between Youngdong region and west seaside district at Honam region in Korea. Snowfall datas for Gojin, Kangnung and Samchok where located in Youngdong region and Kwangju, Kunsan and Magilsan adjacent to Sosan where located in west seaside district at Honam region. For this study, it was investigated secular variation of snowy days and snowfall, the monthly occurrence frequency of snowy days and snowfall, and pressure pattern governing snowfall at two regions. Especially, for the cases study of heavy snowfall day, it was investigated mixing ratio field by using the upper air data, which composed of 33 stations and nephanalysis by using GMS picture data. The results were summarized as follows ; 1) Annual mean occurrence frequency of snowy days were about 32.1days in west seaside district at Honam region and 20.0days in Youngdong region, respectively. The order of monthly occurrence frequency of snowy days and snowfall were Jan., Dec., Feb. and Mar. in west seaside district at Honam region, and Feb., Mar., Jan. Dec., in Youngdong region, respectively. The secular variation(1980-1990) of snowy days and snowfall showed increasing trend. 2) The pressure patterns governing snowfall in Honam region were classified broadly into three types ; 1. cP dominant type, 2. Through or Low dominant type 3. Cut-off High type. The pressure pattern which had the most occurrence frequency of snowy days and snowfall was cP dominant type. And the pressure patterns governing snowfall in Youngdong region were classified broadly into two types ; 1. cP dominant type, 2. NE air flow type. The pressure pattern which had the most occurrence frequency of snowy days was NE air flow type, which the most snowfall was cP dominat type. 3) On the heavy snowfall day, the moisture layer existed below 850hPa in west seaside district at Honam region and below 700hPa in Youngdong region, respectively. 4) In the mixing ratio field on the heavy snowfall day, the moisture tongue existed at both SFC and 850hPa level in case of heavy snowy day of Youngdong region and the meridional gradient of mixing ratio at SFC at South region in west seaside district at Honam region.

      • 都市地域의 濕度變化 特性 : 서울과 광주를 중심으로 in Seoul and Kwangju

        柳贊洙,崔盟淑 조선대학교 기초과학연구소 1996 自然科學硏究 Vol.19 No.1

        This paper is a study on the characteristics of RH variation in the urban area (in Seoul and Kwnagju). air temperature, RH and precipitation are meteorological elements observed from January 1, 1991 through December 31, 1991. The research contents of this study are distribution of variance, regression equation, annual variation, seasonal variation, diurnal variation and Dry Index. The results are as follows : Correlation coefficient of air temperature and RH is -0.91, and regression equation is RH=115-0.31T. Variation of RH has one annual cycle, which shows low RH period (spring and autumn) two times a year. It is shown that RH of urban area is lower on an annual average mean 2∼5.5% than that of surrounding area. Distribution of seasonal RH is in the order of winter>summer>spring>autumn. The order of seasonal RH difference between urban and surrounding area is autumn>spring>summer>winter. The paper shows that during one day RH at night is higher than that in daytime, and the order of RH difference between day and night is spring>autumn>summer (winter)>winter(summer). It is observed that during one day the highest RH occurs at sunrise time and the lowest, at 3 p.m. The distribution of Dry Index and RH are nearly similar.

      • KCI등재

        호남지방 고층관측자료동화가 수치기상예보에 미치는 영향에 관한 연구

        류찬수,원효성,이순환 한국지구과학회 2005 韓國地球科學會誌 Vol.26 No.1

        Aerological observation at Heuksando located in south-western part of Koran Peninsula has been started at 1 June 2003. In order to clarify the improvement of meteorological prediction quality, it is necessary to compare between aerological data observed at Gawngju and Heuksando and to make clear the influence of Heuksando data assimilation. Therefore numerical simulations were carried out with High resolution meterological prediction system based on MM5 (The 5th Generation Mesoscale Model). The pattern of wind and temperature field observed at Heuksando and Gwangju are different due to land surface friction and sensible heat flux at surface and the wind field simulated with Gwangju and Heuksando aerological data agree well with observation wind field. Although the amount of precipitation in these experiments is underestimated, the area and starting time of precipitation around Honam province in case with Heuksando data is more reliable that without the data.

      • KCI등재
      • 光州地方의 日平均氣溫 算出에 관한 硏究

        柳贊洙 조선대학교 기초과학연구소 1994 自然科學硏究 Vol.17 No.1

        The purpose of this study is to examine the variation of daily mean air temperature observed in the Kwangju area and the validity of the computation me-thods currently in use. The data use in this study is hourly observed using a thermograph at the Kwangju observatory. The period of observation was from 1:00 A.M.January 1,1981 to 24:00 P.M December 31,1990. As for the methods used in the study, the characteristics of the diurnal variation were analyzed by Fourier series. The daily mean air temperature was compared with present method according to the observation methods of 2,3,4,6 and 8 times. The most approximate method was found when the difference was calcu-lated for both daily mean air temperature and standard deviation. The results obtained using this formula were then compared with daily mean air temper-atuere used at present. From the results of this study it was learned that the diurnal variation of air temperature lost same quality as in the case of calculating daily mean air temperature due to the distinct difference of the monthly phase angle and amplitude. The greater the number og observation, the less difference, in daily mean air temperature. The difference approximated much closer to the actual daily mean tem-perature than does the current method of when the air temperature was observed at 2:00 and 9:00 A.M, at 2:00 and 9:00 P.M. The daily mean air temperature of the present method was + 0.3 oC higher than the actual daily mean air temperature. The formula for correcting this deviation is as follows. Tm = 0.996 Tp + 0.555 (oC, r ≡ 1, annual mean temperature). If the variation of air temperature is irregular, there is no periodicity and continuity and the width of variation is large. In the case of four observation, the difference in actual daily mean air temperature is large because the ref-lection of daily mean air temperature is small, comparing irregularity of variations. Therefore it may be assumed that, with the least number of observations, we must determine daily mean air temperature by six observations or so in order to decrease the difference of actual daily mean air temperature. However, due to the fact that the observation time of the weather is determined by W.M.0. it is thought that, to achieve more standardization, methods of calcula- ting this must be revised by region and month and utilize method of determining daily mean air temperature which was used in this study rather than method currently in use.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼