• 제목/요약/키워드: Precipitation pattern

검색결과 352건 처리시간 0.022초

장성호 수자원 이용 패턴 (Water Resources Utilization Pattern of JangSung Reservoir)

  • 윤광식;한국헌;윤석군;정재운
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.291-294
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    • 2003
  • The Water resources utilization pattern of Jangsung reservoir was studied. The observed precipitation and existing reservoir operation data such as irrigation amount, reservoir storage, river maintenance requirement, flood control discharge were collected for ten years period and analyzed. Major findings of this study are as follows: The observed average, minimum, maximum annual precipitation were 905.1mm, 1,977.3mm, 1,554.3mm during study period, respectively. The average annual irrigation amount was 554.5mm, irrigation amount of drought years of '92 and '94 was 604.6mm, 679.2mm, respectively. However, irrigation amount of extended drought year '95 was 384.9mm. It showed that supplying capacity of Jangsung reservoir was limited when consecutive 2 year drought occurred. The main water resources usage of Jangsung reservoir was irrigation, but flood control discharge exceed irrigation amount exceptionally when high precipitation occurred. The reservoir operation record revealed that discharge for river maintenance was delivered even drought years.

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Analysis of Precipitation Chemistry at Rural Site in the Eastern Coast, Korea

  • Kang, Gong-Unn;Shin, Dae-Ywen;Kim, Hui-Kang
    • Journal of Korean Society for Atmospheric Environment
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    • 제19권E1호
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    • pp.29-39
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    • 2003
  • The 10-day interval basis measurements of precipitation samples at Yangyang, the rural and coastal area on the eastern coast of the Korea peninsula were accomplished for understanding the precipitation chemistry and the temporal variations of major ions September 1991 to February 1997. The precipitation was slightly acidic, and 37% of the samples in winter were pH less than 4.5. The concentrations of cations were found on the order $Na^+\;>\;{NH_4}^+\;>\;Ca^{2+}\;>\;Mg^{2+}\;>\;K^+$ and those of anions followed the pattern $Cl^-\;>\;{SO_4}^{2-}\;>\;{NO_3}^-$. Neglecting sea salt components, the major ions controlling precipitation chemistry were nss-${SO_4}^{2-}$ and ${NO_3}^-$ in anion and ${NH_4}^+$ and nss-$Ca^{2+}$ in cation. Concentrations of these ions were lower than those measured at urban sites in Korea, but were higher than those measured in Japan. Most of nss-${SO_4}^{2-}$ and ${NO_3}^-$ were neutralized by ammonia and calcium species, especially alkaline soil particles in spring and ammonia gas in other seasons. Considering also the annual value of [nss -${SO_4}^{2-}$]/[${NO_3}^-$] ratio of 2.62 and the neutralizing factors, ammonium sulphate compounds were dominant. Annual mean concentrations of these ions showed relatively small fluctuations, while larger seasonal variations were observed with higher levels in spring and winter. Precipitation amount, influence extent of acidic gases and alkaline particles long-range transported from China continent, and energy consumption pattern in each season might be able to explain this seasonal trend.sonal trend.

최근 5년(2008~2012) 간 우리나라에 내린 봄비의 종관기상학적 특성 (The Synoptic Meteorological Characteristics of Spring Rainfall in South Korea during 2008~2012)

  • 박소연;이영곤;김정윤;안숙희;김백조
    • 한국환경과학회지
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    • 제22권4호
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    • pp.443-451
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    • 2013
  • Spring rainfall events were comprehensively analyzed based on the distribution of precipitation amount and the related synoptic weather between 2008~2012. Forty-eight cases are selected among the rain events of the entire country, and each distribution of the 24-hour accumulated precipitation amount is classified into three types: evenly distributed rain(Type 1), more rain in the southern area and south coast region (Type 2), and more rain in the central region (Type 3), respectively. Type 1 constitutes the largest part(35 cases, 72.9%) with mean precipitation amount of 19.4 mm, and the 17 cases of Type 1 are observed in March. Although Type B and C constitutes small parts (11 cases, 22.9% and 2 cases, 4.2%), respectively. The precipitation amount of these types is greater than 34.5 mm and occurred usually in April. The main synoptic weather patterns affecting precipitation distribution are classified into five patterns according to the pathway of low pressures. The most influential pattern is type 4, and this usually occurs in March, April, and May (Low pressures from the north and the ones from the west and south consecutively affect South Korea, 37.5%). The pattern 3(Low pressures from the south affect South Korea, 25%) happens mostly in April, and the average precipitation is usually greater than 30 mm. This value is relatively higher than the values in any other patterns.

관측자료로 추정한 강우유출모형을 기후변화 영향평가에 그대로 활용하여도 되는가? (Is it suitable to Use Rainfall Runoff Model with Observed Data for Climate Change Impact Assessment?)

  • 니로저 뽀우델;김영오;김초롱
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2011년도 학술발표회
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    • pp.252-252
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    • 2011
  • Rainfall-runoff models are calibrated and validated by using a same data set such as observations. The past climate change effects the present rainfall pattern and also will effect on the future. To predict rainfall-runoff more preciously we have to consider the climate change pattern in the past, present and the future time. Thus, in this study, the climate change represents changes in mean precipitation and standard deviation in different patterns. In some river basins, there is no enough length of data for the analysis. Therefore, we have to generate the synthetic data using proper distribution for calculation of precipitation based on the observed data. In this study, Kajiyama model is used to analyze the runoff in the dry and the wet period, separately. Mean and standard deviation are used for generating precipitation from the gamma distribution. Twenty hypothetical scenarios are considered to show the climate change conditions. The mean precipitation are changed by -20%, -10%, 0%, +10% and +20% for the data generation with keeping the standard deviation constant in the wet and the dry period respectively. Similarly, the standard deviations of precipitation are changed by -20%, -10%, 0%, +10% and +20% keeping the mean value of precipitation constant for the wet and the dry period sequentially. In the wet period, when the standard deviation value varies then the mean NSE ratio is more fluctuate rather than the dry period. On the other hand, the mean NSE ratio in some extent is more fluctuate in the wet period and sometimes in the dry period, if the mean value of precipitation varies while keeping the standard deviation constant.

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한국의 하계 강수량의 순변화 유형과 강수지역 (The Variation Patterns over a Period of 10 Days and Precipitation Regions of Summer Precipitation in Korea)

  • 박현욱;류찬수
    • 한국지구과학회지
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    • 제26권5호
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    • pp.417-428
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    • 2005
  • 아시아의 동안에 위치한 한반도는 수리적, 지리적 요인에 의해 지역에 따라 강수현상 및 탁월 일기의 다소와 그 계절변화가 크다. 이러한 탁월한 날씨의 특징은 한국의 하계의 강수출현율과 그 순변화에 잘 반영되고 있다. 본 논문은 한국의 78개 관측지점의 하계강수량$(1991\~2003)$의 순별 평균값에 대해 주성분분석법을 응용하여 하계강수량의 순변화형을 추출하고, 그의 공간스케일과 강수량의 다소에 따라 강수지역구분을 한 것이다. 주성분 분석에 의해 추출된 주성분 벡터와 진폭계수(Rs)에 따라 하계 강수량 순변화의 전형적인 특징은 두 개의 순변화형으로 표현되며 그 누적기여율은 $64.3\%$이다. 또한 한국의 하계 강수량의 순변화형은 $A\~K$형까지 9개가 추출되었고, 강수지역은 17개형으로 분류되었다.

하계강수량과 그 순변화형에 의한 호남지방의 지역 구분 (Regional Divisions of Honam Region by Summer Precipitation and Variation Patterns over a Period of 10 days)

  • 박현욱
    • 한국지역지리학회지
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    • 제11권1호
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    • pp.101-113
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    • 2005
  • 한반도의 남서부에 위치한 호남지방은 수리적, 지리적 요인에 의해 지역에 따라 하계의 강수현상 및 탁월일기의 다소와 그 계절변화가 크다. 본 논문은 AWS 63개 지점을 포함한 호남의 79개 기상관측지점의 하계강수량(1994$\sim$2003)과 그 순변화형(강수특성 표현의 중요한 한 요소임)에 대해 순별 강수량의 다소와 순장수량의 주성분벡터와 진폭계수(Rs)를 이용하여, 호남 각 지역에서의 하계강수량 순변화형을 수량적으로 추출하고, 그 공간스케일의 변동을 규명해, 그에 따른 호남지방의 강수지역 구분을 시도한 것이다. 그 결과 호남지방의 하계강수량 순변화의 전형적 특징은 상위 4개의 순변화형으로 표현되며 그 누적기여율은 78.0%이다. 또한 호남지방의 하계강수량의 순변화형은 A-K형까지 11개가 추출되었고, 강수지역은 18개형 지역으로 구분되었다.

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On the Characteristics of the Precipitation Patterns in Korea Due to Climate Change

  • Park, Jong-Kil;Seong, Ihn-Cheol;Kim, Baek-Jo;Jung, Woo-Sik;Lu, Riyu
    • 한국환경과학회지
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    • 제23권1호
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    • pp.25-37
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    • 2014
  • In the present study, we analyzed precipitation patterns and diurnal variation trends of hourly precipitation intensity due to climate change. To that end, we used the hourly precipitation data obtained from 26 weather stations around South Korea, especially Busan, from 1970 to 2009. The results showed that the hourly precipitation was concentrated on a specific time of day. In particular, the results showed the so-called "morning shift" phenomenon, which is an increase in the frequency and intensity of hourly precipitation during the morning. The morning shift phenomenon was even more pronounced when a higher level of hourly precipitation intensity occurred throughout the day. Furthermore, in many regions of Korea, including Busan, this morning shift phenomenon became more prevalent as climate change progressed.

동아시아 여름몬순 지수의 자기조직화지도(SOM)에 의한 강수량의 계절 내 진동 분류 (Classification of Intraseasonal Oscillation in Precipitation using Self-Organizing Map for the East Asian Summer Monsoon)

  • 추정은;하경자
    • 대기
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    • 제21권3호
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    • pp.221-228
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    • 2011
  • The nonlinear characteristics of summer monsoon intraseasonal oscillation (ISO) in precipitation, which is manifested as fluctuations in convection and circulation, is one of the major difficulty on the prediction of East Asian summer monsoon (EASM). The present study aims to identify the spatial distribution and time evolution of nonlinear phases of monsoon ISO. In order to classify the different phases of monsoon ISO, Self-Organizing Map(SOM) known as a nonlinear pattern recognition technique is used. SOM has a great attractiveness detecting self-similarity among data elements by grouping and clustering such self-similar components. The four important patterns are demonstrated as Meiyu-Baiu, Changma, post-Changma, and dry-spell modes. It is found that SOM well captured the formation of East Asian monsoon trough during early summer and its northward migration together with enhanced convection over subtropical western Pacific and regionally intensive precipitation including Meiyu, Changma and Baiu. The classification of fundamental large scale spatial pattern and evolutionary history of nonlinear phases of monsoon ISO provides the source of predictability for extended-range forecast of summer precipitation.

시베리아 고기압 영향으로 영동지역 부근에서 발달한 구름대의 위치와 Froude 수와의 관계 (The Relationship of Froude Number and Developed Cloud Band Locations Near Yeongdong Region Under the Siberian High Pressure System)

  • 김유진;김만기;이재규
    • 대기
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    • 제29권3호
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    • pp.325-342
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    • 2019
  • Precipitation and no-precipitation events under the influence of the Siberian high pressure system in Yeondong region, were analysed and classified as four types [obvious precipitation event (OP) type, obvious no-precipitation event (ON) type, ambiguous precipitation event (AP) type and ambiguous no-precipitation event (AN) type], according to the easiness in determining whether to have precipitation or not in Yeongdong region, to help in improving the forecast skill. Concerning the synoptic pressure pattern, for OP type, the ridge of Siberian high extends from Lake Baikal toward Northeast China, and there is a northerly wind upstream of the northern mountain complex (located near the Korean-Chinese border). On the other hand, for ON type, the ridge of Siberian high extends southeastward from Lake Baikal, and there is a westerly wind upstream of the northern mountain complex. The pressure pattern of AP type was similar to the OP type and that of AN type was also similar to ON type. Thus it was difficult to differentiate AP type and OP type and AN type and ON type based on the synoptic pressure pattern only. The four types were determined by U (wind speed normal to the Taebaek mountains) and Froude number (FN). That is, for OP type, average FN and U at Yeongdong coast are ~2.0 and ${\sim}6m\;s^{-1}$, and those at Yeongseo region are 0.0 and $0.1m\;s^{-1}$, respectively. On the contrary, for ON type, average FN and U at Yeongdong coast are 0.0 and $0.2m\;s^{-1}$, and those at Yeongseo region are ~1.0 and ${\sim}4m\;s^{-1}$, respectively. For AP type, average FN and U at Yeongdong coast are ~1.0 and ${\sim}4m\;s^{-1}$, and those at Yeongseo region are 0.0 and $0.2m\;s^{-1}$, whereas for AN type, average FN and U at Yeongdong coast are 0.1 and $0.6m\;s^{-1}$ and those at Yeongseo region are ~1.0 and ${\sim}3m\;s^{-1}$, respectively. Based on the result, a schematic diagram for each type was suggested.

도시화가 도시지역 강우변화에 미치는 영향 연구 (A study of urbanization effect to a precipitation pattern in a urban area)

  • 오태석;안재현;문영일;정민수
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2005년도 학술발표회 논문집
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    • pp.894-899
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    • 2005
  • 1970년대 이후, 우리나라는 산업화에 따른 급격한 도시화가 이루어졌다. 본 논문에서는 우리나라의 대표적인 도시인 서울특별시 및 6대 광역시의 1973년부터 2003년까지의 31개년의 강우량 자료를 이용하여 강우량의 변화에 대하여 분석하였다. 또한 강우량의 변화는 도시화 이외에도 엘니뇨 등의 기상 변화와 각종 기상 이변에도 큰 영향을 받으므로 도시 지역과 비교할 수 있는 비도시 지역을 선정하여 도시 지역의 강우량 변화와 비도시지역의 강우량 변화를 비교 분석하였다. 도시 지역과 비도시 지역의 연강우량, 여름 강우량, 지속 시간 1시간 및 24시간 연최대 강우량에 대해 통계적인 분석을 수행하였다. 그 결과, 도시 지역에서의 여름($6\~9$월) 강우량의 증가가 비도시 지역에 비해 두드러졌다.

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