• 제목/요약/키워드: precipitation environment

검색결과 1,074건 처리시간 0.027초

동해시의 강수 분포 특성 (The Distribution of Precipitation in Donghae-Shi)

  • 이장렬
    • 한국제4기학회지
    • /
    • 제13권1호
    • /
    • pp.45-52
    • /
    • 1999
  • 본 연구에서는 동해시의 강수 분포 특성을 파악하고자(1993~1997) 해안, 동해 레이더 기상대, 서부 산지의 고도 148m, 고도 320m, 고도 842m와 같은 고도의 경포해안, 설악산 관리사무소, 소금강 관리사무소의 AWS, 대관령 기상관측소 등의 일.월별 강수자료를 분석하였다. 이 결과를 요약하면 다음과 같다. 동해시에서 1시간 최다 강수량은 62.4mm, 일 최다 강수량은 200mm, 월 최다 강수량은 355.5mm이고, 일 신적설 최심은 35.5cm이다. 여름철 강수량은 해안에서 서부 산지로 고도가 높아질수록 증가하는 경향이고, 겨울철 강수량은 해안이나 높은 산지에 많은 편이다. 동해시에 나타난 호우 중 강우량이 가장 많았던 경우는 태풍이 통과할 때이고, 그 다음은 장마전선, 저기압 통과 순이다. 일 강수량 20mm 이상이 나타난 날은 총 81일인데 이 중 44일이 여름철에 나타났다. 이는 장마전선의 북상과 오호츠크해 고기압에 의한 북동기류의 유입 때문이다. 동해시에서는 종관 환경 에 따라 해안과 높은 산지에 강설량의 차이가 나타났다.

  • PDF

Effect of precipitation on soil respiration in a temperate broad-leaved forest

  • Jeong, Seok-Hee;Eom, Ji-Young;Park, Joo-Yeon;Chun, Jung-Hwa;Lee, Jae-Seok
    • Journal of Ecology and Environment
    • /
    • 제42권2호
    • /
    • pp.77-84
    • /
    • 2018
  • Background: For understanding and evaluating a more realistic and accurate assessment of ecosystem carbon balance related with environmental change or difference, it is necessary to analyze the various interrelationships between soil respiration and environmental factors. However, the soil temperature is mainly used for gap filling and estimation of soil respiration (Rs) under environmental change. Under the fact that changes in precipitation patterns due to climate change are expected, the effects of soil moisture content (SMC) on soil respiration have not been well studied relative to soil temperature. In this study, we attempt to analyze relationship between precipitation and soil respiration in temperate deciduous broad-leaved forest for 2 years in Gwangneung. Results: The average soil temperature (Ts) measured at a depth of 5 cm during the full study period was $12.0^{\circ}C$. The minimum value for monthly Ts was $-0.4^{\circ}C$ in February 2015 and $2.0^{\circ}C$ in January 2016. The maximum monthly Ts was $23.6^{\circ}C$ in August in both years. In 2015, annual precipitation was 823.4 mm and it was 1003.8 mm in 2016. The amount of precipitation increased by 21.9% in 2016 compared to 2015, but in 2015, it rained for 8 days more than in 2016. In 2015, the pattern of low precipitation was continuously shown, and there was a long dry period as well as a period of concentrated precipitation in 2016. 473.7 mm of precipitation, which accounted for about 51.8% of the precipitation during study period, was concentrated during summer (June to August) in 2016. The maximum values of daily Rs in both years were observed on the day when precipitation of 20 mm or more. From this, the maximum Rs value in 2015 was $784.3mg\;CO_2\;m^{-2}\;h^{-1}$ in July when 26.8 mm of daily precipitation was measured. The maximum was $913.6mg\;CO_2\;m^{-2}\;h^{-1}$ in August in 2016, when 23.8 mm of daily precipitation was measured. Rs on a rainy day was 1.5~1.6 times higher than it without precipitation. Consequently, the annual Rs in 2016 was about 12% higher than it was in 2015. It was shown a result of a 14% increase in summer precipitation from 2015. Conclusions: In this study, it was concluded that the precipitation pattern has a great effect on soil respiration. We confirmed that short-term but intense precipitation suppressed soil respiration due to a rapid increase in soil moisture, while sustained and adequate precipitation activated Rs. In especially, it is very important role on Rs in potential activating period such as summer high temperature season. Therefore, the accuracy of the calculated values by functional equation can be improved by considering the precipitation in addition to the soil temperature applied as the main factor for long-term prediction of soil respiration. In addition to this, we believe that the accuracy can be further improved by introducing an estimation equation based on seasonal temperature and soil moisture.

정량적 강수 예측을 위한 레이더 비강수 정보의 자료동화 (Data Assimilation of Radar Non-precipitation Information for Quantitative Precipitation Forecasting)

  • 김유신;민기홍
    • 한국지구과학회지
    • /
    • 제44권6호
    • /
    • pp.557-577
    • /
    • 2023
  • 본 연구에서는 레이더 관측 영역 내에 강수 에코(echo)가 없는 지역을 비강수 정보라고 정의하고 자료 동화에 활용하였다. 비강수 정보는 레이더로 관측할 수 있는 최대 영역 내에서 강수에 의한 에코가 나타나지 않고 레이더에서 관측할 수 없을 정도로 약한 강수나 구름 입자가 있거나, 강수 자체가 없다는 것을 의미한다. 기존의 레이더 자료를 동화한 연구가 강수에 의한 반사도와 시선속도를 동화하여 모델 내의 강수를 만들어내는 것에 초점을 두었다면, 본 연구에서는 에코가 없다는 것도 하나의 정보로 고려하고 이를 동화함으로써 모델 내에서 잘못 예측한 강수를 억제하였다. 비강수 정보를 자료동화에 적용시키기 위해 레이더 비강수 정보를 수상체와 상대습도로 변환하는 관측 연산자를 제시하고 이를 Weather Research and Forecasting (WRF) 모델의 자료동화 시스템인 WRF Data Assimilation system (WRFDA)에 적용하였다. 또한 비강수 정보를 효과적으로 활용하기 위한 레이더 자료의 처리 방법을 제시하였다. 비강수 정보가 모델 내에서 잘못 예측한 강수를 억제할 수 있는지 확인하기 위해 단일 관측실험을 수행하였으며 비강수 정보가 수상체와 습도 그리고 기온을 낮춤으로써 대류가 억제될 수 있는 환경을 만들었다. 비강수 정보의 동화 효과를 실제 사례에 적용한 2013년 7월 23일 대류 사례 실험을 통해 9시간 예측을 수행하여 결과를 분석하였다. 레이더 비강수 정보를 추가로 동화한 실험이 비강수 정보를 제외한 실험보다 Fractional Skill Score (FSS)가 증가하고 False Alarm Ratio (FAR)는 감소하여 모델의 강수 예측성을 향상시켰다.

침엽수 인공림에서 강우사상별 계류수 수질의 유출특성 변화 (Short Term Runoff Characteristics Change of Stream Water Quality with Different Rainfall Events in Planted Coniferous Forest)

  • 김재훈;최형태;유재윤
    • 한국환경생태학회지
    • /
    • 제29권6호
    • /
    • pp.917-922
    • /
    • 2015
  • 본 연구는 침엽수 인공림에서 강우와 유출에 따른 계류수 용존이온의 특성 밝혀보고자, 경기도 국립수목원 소재의 침엽수 시험림에서 강우, 유량, 용존이온을 조사하였다. 2005년 6월부터 2008년 9월까지 총 23개의 강수사상별 수질시료를 채수하여 분석한 결과 API 값이 낮을수록 유출량이 적었다. 유량변화에 따른 용존이온 특성으로는, $NH_4{^+}$, $K^+$, $Ca^{2+}$ 이온은 시계 방향, $Cl^-$, $NO_3{^-}$ 이온은 반시계 방향의 이력곡선을 나타냈으며, ${SO_4}^{2-}$, $Na^+$, $Mg^{2+}$ 이온은 이력현상을 보이지 않았다. $Cl^-$, $Na^+$, $NH_4{^+}$는 지하수의 영향으로 강수 이전 수준으로 농도가 유지되는 것으로, $NO_3{^-}$는 토양수의 영향으로 강수 이전 보다 높은 농도는 나타내는 것으로 판단된다. $Cl^-$, ${SO_4}^{2-}$, $Na^+$, $Mg^{2+}$, $Ca^{2+}$ 이온은 유출량 증가에 따라 강한 희석반응을 보였고, $NO_3{^-}$ 이온은 유출초기 희석 후 농도가 증가하였다. $NO_3{^-}$, $Ca^{2+}$ 이온은 강수 초기에 세탈효과를 나타냈다. 유출량 변화에 따른 이러한 농도변화 특성은 선행강수, 유출량, 지하수 등의 영향으로 판단된다.

화학적 공침법을 이용한 침상형 페라이트 합성 (Preparation and Characterization of Nanocrystalline Spinel Ferrites by Chemical Co-precipitation)

  • ;임윤희;조영민
    • 공업화학
    • /
    • 제22권2호
    • /
    • pp.185-189
    • /
    • 2011
  • 본 연구에서는 화학적 공침법을 적용하여 가스상 이산화탄소 분해를 위한 나노크기의 M-페라이트(M=Co, Ni, Cu, Zn)를 제조하였다. 열중량 분석 결과, 시험제조한 모든 시료의 최고 무게 감소율은 $350^{\circ}C$ 미만에서 발생하였다. 소성온도가 증가할수록 결정형은 우수하여 표면촉매활성화를 기대할 수 있지만, 입자결정의 크기가 크고, 비표면적이 낮은 페라이트가 합성됨을 알 수 있었다. FT-IR 분석으로부터 $375{\sim}406cm^{-1}$의 범위에서 octahedral site에 착화물이 존재함을 확인 할 수 있었으며, 이는 페라이트 내 스피넬 구조가 형성되어 있음을 보여주는 것이라고 믿는다. 본 연구로부터 얻은 이산화탄소 분해반응을 위한 금속페라이트의 최적 열처리 온도는 $500^{\circ}C$인 것으로 나타났다.

인간 타액내 항 린산칼슘 침전 단백질 (Protein Inhibition Precipitation of Calcium Phosphate in Human Saliva)

  • Song Han
    • Journal of Oral Medicine and Pain
    • /
    • 제20권1호
    • /
    • pp.7-18
    • /
    • 1995
  • The Purpose of this article is to describe the biochemical properties and biological functions of several salivary proteins that possess the unusual properties of inhibiting spontaneous and secondary precipitation of calcium phosphate. This function is very important since human salivary secretion is supersaturated with respect to calcium phosphate. Biological function of statherin, proline rich protein (PRP) and histidine rich protein (HRP) is to inhibit precipitation of calcium phosphate in salivary glands, in the oral fluids, and onto tooth surfaces. The resulting supersaturated state of the salivary secretions contributes a protective and reparative environment which is important for the integrity of the tooth. Beneficial consequences of salivary supersaturation with respect to calcium phosphate are selectively expressed in the oral cavity- that is, protection is provided for the dental enamel-while undesirable consequences, for example, precipitation of calcium phosphates in the salivary glands and onto the teeth do not occur. Purification and structural characteristics of these proteins as well as clinical significance of functions of each protein will be discussed.

  • PDF

Classification of Daily Precipitation Patterns in South Korea using Mutivariate Statistical Methods

  • Mika, Janos;Kim, Baek-Jo;Park, Jong-Kil
    • 한국환경과학회지
    • /
    • 제15권12호
    • /
    • pp.1125-1139
    • /
    • 2006
  • The cluster analysis of diurnal precipitation patterns is performed by using daily precipitation of 59 stations in South Korea from 1973 to 1996 in four seasons of each year. Four seasons are shifted forward by 15 days compared to the general ones. Number of clusters are 15 in winter, 16 in spring and autumn, and 26 in summer, respectively. One of the classes is the totally dry day in each season, indicating that precipitation is never observed at any station. This is treated separately in this study. Distribution of the days among the clusters is rather uneven with rather low area-mean precipitation occurring most frequently. These 4 (seasons)$\times$2 (wet and dry days) classes represent more than the half (59 %) of all days of the year. On the other hand, even the smallest seasonal clusters show at least $5\sim9$ members in the 24 years (1973-1996) period of classification. The cluster analysis is directly performed for the major $5\sim8$ non-correlated coefficients of the diurnal precipitation patterns obtained by factor analysis In order to consider the spatial correlation. More specifically, hierarchical clustering based on Euclidean distance and Ward's method of agglomeration is applied. The relative variance explained by the clustering is as high as average (63%) with better capability in spring (66%) and winter (69 %), but lower than average in autumn (60%) and summer (59%). Through applying weighted relative variances, i.e. dividing the squared deviations by the cluster averages, we obtain even better values, i.e 78 % in average, compared to the same index without clustering. This means that the highest variance remains in the clusters with more precipitation. Besides all statistics necessary for the validation of the final classification, 4 cluster centers are mapped for each season to illustrate the range of typical extremities, paired according to their area mean precipitation or negative pattern correlation. Possible alternatives of the performed classification and reasons for their rejection are also discussed with inclusion of a wide spectrum of recommended applications.

위성기반 Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)를 활용한 한반도 지역의 기상학적 가뭄지수 적용 (Application of Meteorological Drought Index using Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) Based on Global Satellite-Assisted Precipitation Products in Korea)

  • 문영식;남원호;전민기;김태곤;홍은미
    • 한국농공학회논문집
    • /
    • 제61권2호
    • /
    • pp.1-11
    • /
    • 2019
  • Remote sensing products have long been used to monitor and forecast natural disasters. Satellite-derived rainfall products are becoming more accurate as space and time resolution improve, and are widely used in areas where measurement is difficult because of the periodic accumulation of images in large areas. In the case of North Korea, there is a limit to the estimation of precipitation for unmeasured areas due to the limited accessibility and quality of statistical data. CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations) is global satellite-derived rainfall data of 0.05 degree grid resolution. It has been available since 1981 from USAID (U.S. Agency for International Development), NASA (National Aeronautics and Space Administration), NOAA (National Oceanic and Atmospheric Administration). This study evaluates the applicability of CHIRPS rainfall products for South Korea and North Korea by comparing CHIRPS data with ground observation data, and analyzing temporal and spatial drought trends using the Standardized Precipitation Index (SPI), a meteorological drought index available through CHIRPS. The results indicate that the data set performed well in assessing drought years (1994, 2000, 2015 and 2017). Overall, this study concludes that CHIRPS is a valuable tool for using data to estimate precipitation and drought monitoring in Korea.

기후변화 시나리오 편의보정 기법에 따른 강우-유출 특성 분석 (Analysis of Rainfall-Runoff Characteristics on Bias Correction Method of Climate Change Scenarios)

  • 금동혁;박윤식;정영훈;신민환;류지철;박지형;양재의;임경재
    • 한국물환경학회지
    • /
    • 제31권3호
    • /
    • pp.241-252
    • /
    • 2015
  • Runoff behaviors by five bias correction methods were analyzed, which were Change Factor methods using past observed and estimated data by the estimation scenario with average annual calibration factor (CF_Y) or with average monthly calibration factor (CF_M), Quantile Mapping methods using past observed and estimated data considering cumulative distribution function for entire estimated data period (QM_E) or for dry and rainy season (QM_P), and Integrated method of CF_M+QM_E(CQ). The peak flow by CF_M and QM_P were twice as large as the measured peak flow, it was concluded that QM_P method has large uncertainty in monthly runoff estimation since the maximum precipitation by QM_P provided much difference to the other methods. The CQ method provided the precipitation amount, distribution, and frequency of the smallest differences to the observed data, compared to the other four methods. And the CQ method provided the rainfall-runoff behavior corresponding to the carbon dioxide emission scenario of SRES A1B. Climate change scenario with bias correction still contained uncertainty in accurate climate data generation. Therefore it is required to consider the trend of observed precipitation and the characteristics of bias correction methods so that the generated precipitation can be used properly in water resource management plan establishment.