• 제목/요약/키워드: annual precipitation

검색결과 611건 처리시간 0.024초

충청지역 극한강우지수의 시공간적 경향과 변동성 분석 (Analysis of Spatial-temporal Variability and Trends of Extreme Precipitation Indices over Chungcheong Province, South Korea)

  • Bashir, Adelodun;Golden, Odey;Seulgi, Lee;Kyung Sook, Choi
    • 한국농공학회논문집
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    • 제64권6호
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    • pp.101-112
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    • 2022
  • Extreme precipitation events have recently become a leading cause of disasters. Thus, investigating the variability and trends of extreme precipitation is crucial to mitigate the increasing impact of such events. Spatial distribution and temporal trends in annual precipitation and four extreme precipitation indices of duration (CWD), frequency (R10 mm), intensity (Rx1day), and percentile-based threshold (R95pTOT) were analyzed using the daily precipitation data of 10 observation stations in Chungcheong province during 1974-2020. The precipitation at all observation stations, except the Boryeong station, showed nonsignificant increasing trends at 95% confidence level (CL) and increasing magnitudes from the west to east regions. The high variability in mean annual precipitation was more pronounced around the northeast and northwest regions. Similarly, there were moderate to high patterns in extreme precipitation indices around the northeast region. However, the precipitation indices of duration and frequency consistently increased from the west to east regions, while those of intensity and percentile-based threshold increased from the south to east regions. Nonsignificant increasing trends dominated in CWD, R10 mm, and Rx1day at all stations, except for R10 mm at Boeun station and Rx1day at Cheongju and Jecheon stations, which showed a significantly increasing trend. The spatial distribution of trend magnitude shows that R10 mm increased from the west to east regions. Furthermore, variations in precipitation were very strongly correlated (99% CL) with R10 mm, Rx1day, and R95pTOT at all stations, except with wR10 mm at Cheongju station, which was strongly correlated with a 95% CL.

EOF와 CSEOF를 이용한 한반도 강수의 변동성 분석 (Investigation of Korean Precipitation Variability using EOFs and Cyclostationary EOFs)

  • 김광섭;순밍동
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2009년도 학술발표회 초록집
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    • pp.1260-1264
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    • 2009
  • Precipitation time series is a mixture of complicate fluctuation and changes. The monthly precipitation data of 61 stations during 36 years (1973-2008) in Korea are comprehensively analyzed using the EOFs technique and CSEOFs technique respectively. The main motivation for employing this technique in the present study is to investigate the physical processes associated with the evolution of the precipitation from observation data. The twenty-five leading EOF modes account for 98.05% of the total monthly variance, and the first two modes account for 83.68% of total variation. The first mode exhibits traditional spatial pattern with annual cycle of corresponding PC time series and second mode shows strong North South gradient. In CSEOF analysis, the twenty-five leading CSEOF modes account for 98.58% of the total monthly variance, and the first two modes account for 78.69% of total variation, these first two patterns' spatial distribution show monthly spatial variation. The corresponding mode's PC time series reveals the annual cycle on a monthly time scale and long-term fluctuation and first mode's PC time series shows increasing linear trend which represents that spatial and temporal variability of first mode pattern has strengthened. Compared with the EOFs analysis, the CSEOFs analysis preferably exhibits the spatial distribution and temporal evolution characteristics and variability of Korean historical precipitation.

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분위사상법을 이용한 RCP 기반 미래 극한강수량 편의보정 ; 우리나라 20개 관측소를 대상으로 (Bias Correction of RCP-based Future Extreme Precipitation using a Quantile Mapping Method ; for 20-Weather Stations of South Korea)

  • 박지훈;강문성;송인홍
    • 한국농공학회논문집
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    • 제54권6호
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    • pp.133-142
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    • 2012
  • The objective of this study was to correct the bias of the Representative Concentration Pathways (RCP)-based future precipitation data using a quantile mapping method. This method was adopted to correct extreme values because it was designed to adjust simulated data using probability distribution function. The Generalized Extreme Value (GEV) distribution was used to fit distribution for precipitation data obtained from the Korea Meteorological Administration (KMA). The resolutions of precipitation data was 12.5 km in space and 3-hour in time. As the results of bias correction over the past 30 years (1976~2005), the annual precipitation was increased 16.3 % overall. And the results for 90 years (divided into 2011~2040, 2041~2070, 2071~2100) were that the future annual precipitation were increased 8.8 %, 9.6 %, 11.3 % respectively. It also had stronger correction effects on high value than low value. It was concluded that a quantile mapping appeared a good method of correcting extreme value.

LARS-WG 상세화 기법을 적용한 미래 기온 및 강수량 전망 및 분석 - 우리나라 8개 기상관측소를 대상으로 - (Projection and Analysis of Future Temperature and Precipitation using LARS-WG Downscaling Technique - For 8 Meteorological Stations of South Korea -)

  • 신형진;박민지;조형경;박근애;김성준
    • 한국농공학회논문집
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    • 제52권4호
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    • pp.83-91
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    • 2010
  • Generally, the GCM (General Circulation Model) data by IPCC climate change scenarios are used for future weather prediction. IPCC GCM models predict well for the continental scale, but is not good for the regional scale. This paper tried to generate future temperature and precipitation of 8 scattered meteorological stations in South Korea by using the MIROC3.2 hires GCM data and applying LARS-WG downscaling method. The MIROC3.2 A1B scenario data were adopted because it has the similar pattern comparing with the observed data (1977-2006) among the scenarios. The results showed that both the future precipitation and temperature increased. The 2080s annual temperature increased $3.8{\sim}5.0^{\circ}C$. Especially the future temperature increased up to $4.5{\sim}7.8^{\circ}C$ in winter period (December-February). The future annual precipitation of 2020s, 2050s, and 2080s increased 17.5 %, 27.5 %, and 39.0 % respectively. From the trend analysis for the future projected results, the above middle region of South Korea showed a statistical significance for winter precipitation and south region for summer rainfall.

최근 30년간(1976-2005) 우리나라 강수의 시.공간변동과 지리환경 (Temporal and Spatial Variations of Precipitation in South Korea for Recent 30 Years (1976-2005) and Geographic Environments)

  • 홍기옥;서명석;나득균
    • 한국지구과학회지
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    • 제27권4호
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    • pp.433-449
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    • 2006
  • 최근 30년($1976{\sim}2005$년)간 기상청 60개 관측 지점의 자료를 이용하여 강수 현상의 시 공간 변동 특성에 대해 분석하였다. 남한 전체 연 평균 강수량은 약 1310 mm이고 남부지역과 경기/강원 지역에서 많고(약 1300 mm 이상) 경북내륙지역에서는 적으며(1100 mm 이하), 강수 일수는 주로 소백산맥 주변지역에서 약 100일 이상인 반면 경북 내륙지역에서는 90일 이하로 공간차가 크다. 강수현상의 경년 변동은 주로 강수량 및 강수일수가 많고 강수강도가 강한 남부지방과 영동지역, 소백산맥과 그 서쪽 지역 그리고 남부와 중부지역에서 각각 크다. 강수량의 경우 남해안 지역에서는 과우해와 다우해의 연 강수량 차이가 최대 800 mm에 이를 정도로 경년 변동이 크다. 강수 현상의 계절 변동(여름집중도)은 경년 변동에 비해 지리적 환경(해발고도, 해안/내륙, 태백산맥의 동쪽/서쪽)에 더 밀접하게 연관되어 발생하고있다. 남해안(동해안) 지역에서는 봄, 여름과 가을의 강수비율이 각각 20(16)%, 53(53)% 및 20(24)%로 강수의 여름집중도가 약한 반면, 경기 내륙 지역에서는 봄, 여름과 가을의 강수비율이 각각 18%, 60%, 18%로 여름 집중도가 강하다. 또한 남한 전체 평균 여름 강수량 비율이 약 55%로 허창회와 강인식(1988)의 연구 결과 보다 약 5% 정도 높게 나타나 최근 강수의 여름 집중도가 심화되고 있음을 제시한다. 집중 호우 및 연강수량에 대한 집중 호우의 비율과 연강수량과의 상관계수가 각각 0.92와 0.75로 나타나 집중 호우의 발생 빈도가 연강수량에 비례해서 높아짐을 제시한다. 강수량은 해발 고도와 밀접하게 관련되어 있으며 강수량에 대한 지형의 영향은 강수량에 비례하게 증가된다.

Effects of atmospheric environmental changes on annual ring growth of Cryptomeria japonica in Southern Korea

  • Luong, Thi-Hoan;Jang, Kyoung-Soo;Choi, Woo-Jung;Lee, Kye-Han
    • Journal of Ecology and Environment
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    • 제36권1호
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    • pp.31-38
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    • 2013
  • Annual ring formation is considered a source of information to investigate the effects of environmental changes caused by temperature, air pollution, and acid rain on tree growth. A comparative investigation of annual ring growth of Cryptomeria japonica in relation to environmental changes was conducted at two sites in southern Korea (Haenam and Jangseong). Three wood disks from each site were collected from stems at breast height and annual ring growth was analyzed. Annual ring area at two sites increased over time (p > 0.05). Tree ring growth rate in Jangseong was higher than that in Haenam. Annual ring area increment in Jangseong was more strongly correlated with environmental variables than that in Haenam; annual ring growth increased with increasing temperature (p < 0.01) and a positive effect of $NO_2$ concentration on annual ring area (p < 0.05) could be attributed to nitrogen deposition in Jangseong. The correlation of annual ring growth increased with decreasing $SO_2$ and $CO_2$ concentrations (p < 0.01) in Jangseong. Variation in annual growth rings in Jangseong could be associated with temperature changes and N deposition. In Haenam, annual ring growth was correlated with $SO_2$ concentration (p < 0.01), and there was a negative relationship between precipitation pH and annual ring area (p < 0.01) which may reflect changes in nutrient cycles due to the acid rain. Therefore, the combined effects of increased $CO_2$, N deposition, and temperature on tree ring growth in Jangseong may be linked to soil acidification in this forest ecosystem. The interactions between air pollution ($SO_2$) and precipitation pH in Haenam may affect tree growth and may change nutrient cycles in this site. These results suggested that annual tree ring growth in Jangseong was more correlated with environmental variables than that in Haenam. However, the further growth of C. japonica forest at two sites is at risk from the long-term effects of acid deposition from fossil fuel combustion.

Climate Change Impacts in Natural Resources and Livestock in Mongolia Climate

  • Batima, P.;Natsagdorj, L.;Bayarbaatar, L..;Bolortsetseg, B.;Natsagsuren, N.;Erdenetsetseg, B.
    • 한국제4기학회지
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    • 제18권2호통권23호
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    • pp.103-104
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    • 2004
  • This paper discuss some results of observed changes of meteorological elements as temperature, precipitation and some extreme indexes in Mongolia. Mongolia is one of the largest landlocked countries in the world. The climate is characterized by a long lasting cold winter, dry and hot summer, low precipitation, high temperature fluctuation and relatively high number of sunny days per year. During last 60 years the annual mean air temperature has risen $1.66^{\circ}C$. Intensive warming of > $2^{\circ}C$ was observed at higher altitudes of high mountains when warming of < $1^{\circ}C$ was observed the Domod steppe and the Gobi Desert. Heat Wave Duration have statistically significant risen trend with increaded number of days by 8-18 at significance level of 95-99.9% depending on geography and Cold Wave Duration have shortened by 13.3 days significance level of 95-99%. In general, by the amount of precipitation, Mongolia falls in semi-arid and arid region. It is 300-350 mm in the high mountain regions while it is only 50-150 mm in Gobi Desert regions. The changes of annual precipitation have very localized character i.e.decreasing at one site and increasing at a sit nearby. Annual precipitation decreased by 30-90 mm in the northern-central region and increased by 2-60 mm in the western and eastern region. The magnitude of alteration changes in precipitation regardless increasing or decreasing is 5-25%. A trends, significant at the level of 90%, found where changes are more than 40 mm or more than 15% of annual mean value. Moreover, the soil moisture resources was decreased in the last 40 years. Specially, moisture contents of the top soil have decreased 2 times(N. Natsagsuren, 2002). Months of June and July in Mongolia is the year that moisture is not inhibiting vegetation growth. Unfortunately, its also found that moisture in this time tends to decrease. Increased temperature, decreased precipitation and soil moisture are most likely resulted in occurences of more intense drought spells that have taken place during the recent years. Intimately, these changes have considerable impact on livestock in Mongolia.

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연유출량 추정모형 개발 (Development of the Annual Runoff Estimation Model)

  • 김양수;정상만;서병하
    • 물과 미래
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    • 제24권3호
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    • pp.95-104
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    • 1991
  • 본 연구에서는 장기 수자원계획시 유역내 가용 수자원을 파악하는데 이용할 수 있는 새로운 연유출량 추정모형의 개발을 시도하였다. 연구범위는 우리나라 전역으로 1945년부터 1988년 까지의 육수량, 유출량 자료를 이용하였다. 모형개발을 위한 표준유역은 유출의 인공조작이 없고 수위자료가 양호하며, 수위-유량 관계곡선이 작성되어 있는 46개 지점을 택하였으며, 표본 유역별로 일수위 자료를 수집, 정리하여 일유출량을 산정하고 합산하여 연유출량을 산정하였다. 또한, 연평균강수량을 산정하여 지점별로 연유출율을 계산하고 이것을 기초로 우리나라 연평균 유출율을 추정하였다. 그리고, 연유출량과 역특성인자들을 이용하여 연유출량 추정모형을 개발하였으며, 실제유역에 적용하여 모형의 합리성을 검토하였다.

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한국의 극한 기온 및 강수 사상의 변화 경향에 관한 연구 (Trends on Temperature and Precipitation Extreme Events in Korea)

  • 최영은
    • 대한지리학회지
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    • 제39권5호
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    • pp.711-721
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    • 2004
  • 기상과 관련된 재해의 직접 원인이 되는 극한 기후 사상의 발생 빈도 및 강도의 변화 경향을 파악하는 것이 된 연구의 목적이다. 일최저기온, 일최고기온, 일강수량 자료를 이용하여, 10개 기후 변화 지시자를 산출하였다. 그 변화 경향의 공간 분포를 파악하였다. 일최저기온을 이용하여 산출된 온난야의 발생 빈도는 한반도에서 증가하는 추세를 나타냈고. 최저기온의 증가로 인하여 서리일수는 감소하고 생장기간은 증가하였다. 매해의 일최저기온과 일최고기온의 차로 산출되는 연극한기온교차는 최고기온은 변화하지 않았지만. 최저기온의 증가로 인하여 감소하고 있다. 강수와 관련된 지시자들은 기온 관련 지시자에 비하여 변화 경향이 뚜렷하지 않지만, 무강수일수의 한반도 시계열은 감소하는 경향이 나타났고, 호우지수로 분류될 수 있는 강수강도는 증가하고 있다.

데이터 스크린 기법을 이용한 연강수량의 통계적 특성 분석 (Analysis of Statistical Characteristics of Annual Precipitation in Korea Using Data Screeening Technique)

  • 정세진;임가균;김병식
    • 한국방재안전학회논문집
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    • 제13권3호
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    • pp.15-28
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    • 2020
  • 본 논문에서는 미계측 유역에 적용할 수 있는 갈수지수 산정 회귀모형을 개발하고자 하였다. 30개의 중권역 유역을 대상으로 국가수자원종합관리시스템에서 제공하는 장기유출자료를 이용하여 평균 갈수량과 평균저수량, 지속기간별 빈도별 갈수지수를 산정하였으며 이를 유역특성인자 18개와 기상특성인자 3개와의 상관 분석을 통하여 최종적으로 유역면적, 유역 평균 표고, 유역 평균 경사, 수계 밀도, 유출곡선지수, 연증발산량, 연강수량을 선정하여 다중회귀분석을 수행하여 갈수지수 회귀모형을 개발하였다. 개발된 회귀모형을 평가하기 위하여 10개의 검증유역을 미계측 유역으로 간주하여 평균제곱근오차(RMSE) 와 평균절대오차(MAE)를 이용하여 정확도를 추정하였다. 또한 기존의 평균갈수량 산정 회귀모형과의 비교를 통하여 본 논문에서 개발한 모형의 우수성을 검토하였다. 기존의 미계측 유역의 평균 갈수량 회귀모형과 비교·분석에서 보다 우수한 결과를 나타내었는데 이는 기존의 회귀모형보다 다양한 유역 특성인자와 수문특성인자를 고려하여 회귀모형을 개발하였기 때문인 것으로 판단된다.