• 제목/요약/키워드: wet precipitation

검색결과 209건 처리시간 0.026초

대기 중 수은의 습식 침적 평가: 소양호를 중심으로 (Estimation of Atmospheric Mercury Wet-deposition to Lake So-yang)

  • 안명찬;한영지
    • 한국대기환경학회지
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    • 제24권6호
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    • pp.693-703
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    • 2008
  • The important source of the mercury in water-column is the influx of atmosphere mercury, via dry and wet deposition. In this study, wet deposition of mercury was estimated to be $14.56{\mu}g/m^2$ during 15 months at the Lake Soyang, which is a little higher than those observed in the several rural US Mercury Deposition Network (MDN) sites with similar precipitation depth. The mercury concentration in precipitation did not show a positive correlation with atmospheric RGM (reactive gaseous mercury) concentration, while maintaining good correlation with atmospheric $PM_{2.5}$ at Soyang Dam. This result suggests that the contribution of particulate Hg to the total Hg wet deposition should be more significant than that of RGM. In this study, both precipitation depth and precipitation type affected the amount of wet deposition and the concurrent mercury levels in precipitation. There was generally an inverse relationship between precipitation depth and Hg concentration in precipitation. Precipitation type was another factor that exerted controls on the Hg concentration in precipitation. As a result, the highest concentration of Hg was observed in snow, followed by in mixture (snow+rain) and in rain.

최근 한반도 중부 황해안의 Pu 핵종 습식 침착 (Current Wet Deposition of Pu Isotopes in the mid-Yellow Sea Coast of Korea)

  • 이상한;정창수;김석현;이광우
    • 한국대기환경학회지
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    • 제15권2호
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    • pp.79-87
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    • 1999
  • $^{239+240}Pu$ concentrations in precipitation were determined for the period of May 1994 to August 1996 in oder to describe current $^{239+240}Pu$ deposition at the mid-western coat of Korea (Ansan, 37$^{\circ}$17'N, $126^{\circ}$50'E). $^{239+240}Pu$ concentration in daily precipitation varied from 0.05 to 131$\mu$Bq $kg^{-1}$ with a geometric mean of $1.26\mu$Bq $kg^{-1}$. The concentration was high in the period of Yellow Sand Storm in spring and low in wet summer monsoon. The specific $^{239+240}Pu$ concentration in daily precipitation appears to be controlled by the $^{239+240}Pu$ input to the atmosphere in spring and washout effects by precipitation in the wet summer monsoon. Wet depositional flux of $^{239+240}Pu$ varied from 4 to 123$\mu$Bq $m^{-2}d^{-1}$ with a geometric mean of $33.8\mu$Bq $m^{-2}d^{-1}$ and with a maximum in the period of Yellow Sand Storm and a minimum in the period of wet summer monsoon. $^{238}Pu$/$^{239+240}Pu$ activity raios(0.04~0.31) in precipitation for March-June period suggested that one of the major sources of Pu isotopes falling in Ansan area is the arid region of the Chinese continent.

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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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침적 모형에 의한 습성침적 플럭스 수치모의 (Numerical simulation of wet deposition flux by the deposition model)

  • 이화운;문난경;임주연
    • 한국환경과학회지
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    • 제11권12호
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    • pp.1235-1242
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    • 2002
  • The purpose of this study is to estimate wet deposition flux and to investigate wet deposition characteristics by using the ADOM model. Wet deposition flux of highly reactive $SO_2$ is estimated by applying observed meteorological parameters and concentrations of chemical species to the ADOM model. Wet deposition is largely dependent on large scale precipitation and cloud thickness. Wet deposition flux of sulfate depends on $SO_2$ oxidation in clouds. When large amount of $SO_2$ is converted to sulfate, deposition flux of sulfate increases, but wet deposition flux of $SO_2$ is small. On the whole, the pattern of sulfate wet deposition flux agrees with the typical pattern of sulfate wet deposition that is high in the summer(July) and low in the winter(January).

IDENTIFICATION OF POSSIBLE MERCURY SOURCES AND ESTIMATION OF MERCURY WET DEPOSITION FLUX IN LAKE ONTARIO FROM LAKE ONTARIO ATMOSPHERIC DEPOSITION STUDY (LOADS)

  • Han, Young-Ji
    • Environmental Engineering Research
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    • 제10권6호
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    • pp.306-315
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    • 2005
  • Total gas phase mercury (TGM) concentrations and event wet-only precipitation for Hg were collected for nine months (from April, 2002 to Dec., 2002) at Sterling, NY on the shoreline of Lake Ontario. TGM concentrations measured in this study ($3.02{\pm}2.14\;ng/m^3$) were in somewhat high range compared to other background sites. Using simplified quantitative transport bias analysis (SQTBA) possible sources affecting high Hg concentration in Sterling was identified, and they are coal-fired power plants located in southern NY and Pennsylvania. Wet deposition measured at Mercury Deposition Network (MDN) sites including Pt. Petre and Egbert, ON were compared with data obtained at the Sterling to estimate the total mercury wet deposition flux to Lake Ontario. The wet deposition flux was calculated to be the highest at the Sterling site ($7.94\;{\mu}g/m^2$ from April, 2002 to Dec. 2002) and the lowest at the Egbert ($3.92\;{\mu}g/m^2$), due to the both the difference in precipitation depth and Hg concentration in the precipitation. The deposition measured at the Sterling site is similar to Lake Michigan deposition of $6-14\;{\mu}g/m^2$ (converted for ninth months) measured for Lake Michigan Mass Balance Study (LMMBS).

간헐(間歇) 수문과정(水文過程)의 모의발생(模擬發生) 모형(模型)(II) - Markov 연쇄와 연속확률분포(連續確率分布) - (A Simulation Model for the Intermittent Hydrologic Process (II) - Markov Chain and Continuous Probability Distribution -)

  • 이재준;이정식
    • 대한토목학회논문집
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    • 제14권3호
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    • pp.523-534
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    • 1994
  • 본 연구의 목적은 간헐수문과정인 일강수계열의 모의발생 모델을 개발하는 것이다. 이를 위하여 연구(I)에서는 교대재생과정을 이용하여 강수발생과정을 해석하였으며, 본 연구(II)에서는 강수발생과정으로 Markov 연쇄를 이용하고 습윤일의 강수량 분포를 조합하여 일 강수계열을 모의발생하는 추계학적 모델을 개발하였다. Markov 연쇄로는 상태 2(건조, 습윤)의 1차 연쇄를 사용하였으며, 습윤일의 강수량 분포는 연속확률분포인 Gamma, Pearson Type-III(PT3), Extremal Type-III(T3E), Weibull 분포를 적용하였다. 일 강수계열 자료의 계절적 변동성을 고려하여 월별로 분리하여 해석하였으며, 강수발생과정과 습윤일의 강수량과정을 조합하여 구성한 두 개의 모의발생 모델 M-W, M-G 모델을 낙동강과 섬진강 유역의 7개 관측소에 적용하여 관측치와 모의발생치를 비교하므로써 모의발생 모델의 적용성을 확인하였다.

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동아시아 여름 강수 모의에 있어 한반도 주변 해륙분포가 미치는 영향 (Impacts of the Land-sea Distribution around Korean Peninsula on the simulation of East Asia Summer Precipitation)

  • 차유미;이효신;권원태;부경온
    • 대기
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    • 제17권3호
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    • pp.241-253
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    • 2007
  • This paper investigates summer precipitation change in East Asia according to switching surface boundary condition over South Korea and Shantung. Simulations are carried out by ECHO-G/S for 20 years (1980-1999). Surface condition over both areas in ECHO-G/S is represented by ocean (OCN experiment). In OCN experiment, the summer precipitation is considerably underestimated around the Korean peninsula (the dry region) and overestimated over the eastern Tibetan Plateau (the wet region). It may be related that the lack of the heat sources from the unrealistically prescribed land-sea mask weakens northward expansion of rainband and the development of convective precipitation. Moreover the simulated rainband retreats before June in connection with the early genesis of summer monsoon circulation. The systematic bias of the summer precipitation over the dry and wet regions are reduced comparing with the OCN experiment when the land-sea masks over South Korea and Shantung are realistically considered as land (LND experiment). These improvements can be explained by the thermodynamical dissimilarity between land and ocean. Enhanced warming by switching the areas from sea to land has led to develop the thermal low over Yellow Sea with the cyclonic circulation. Thus, this cyclonic circulation supports moistures from the south to the dry region and blocks to the wet region. The heat transport from the land surface to atmosphere plays a key role in the developing convective precipitation in local scale and maintaining the precipitation and the rainband. Therefore, this results indicate that the design of the realistic land-sea distribution is required for the accurate simulation of the regional precipitation.

분포형 물수지 모델(WetSpass-M)을 이용한 삽교천 상류 유역에서의 월별 지하수 함양량 산정 (Evaluation of Groundwater Recharge using a Distributed Water Balance Model (WetSpass-M model) for the Sapgyo-cheon Upstream Basin)

  • 안효원;하규철
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제26권6호
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    • pp.47-64
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    • 2021
  • In this study, the annual and monthly groundwater recharge for the Sapgyo-cheon upstream basin in Chungnam Province was evaluated by water balance analysis utilizing WetSpass-M model. The modeling input data such as topography, climate parameters, LAI (Leaf Area Index), land use, and soil characteristics were established using ArcGIS, QGIS, and Python programs. The results showed that the annual average groundwater recharge in 2001 - 2020 was 251 mm, while the monthly groundwater recharge significantly varied over time, fluctuating between 1 and 47 mm. The variation was high in summer, and relatively low in winter. Variation in groundwater recharge was the largest in July in which precipitation was heavily concentrated, and the variation was closely associated with several factors including the total amount of precipitation, the number of days of the precipitation, and the daily average precipitation. This suggests the extent of groundwater recharge is greatly influenced not only by quantity of precipitation but also the precipitation pattern. Since climate condition has a profound effect on the monthly groundwater recharge, evaluation of monthly groundwater recharge need to be carried out by considering both seasonal and regional variability for better groundwater usage and management. In addition, the mathematical tools for groundwater recharge analysis need to be improved for more accurate prediction of groundwater recharge.

간헐(間歇) 수문과정(水文過程)의 모의발생(模擬發生) 모형(模型)(I) - 교대재생과정(交代再生過程)(ARP)과 연속확률분포(連續確率分布) - (A Simulation Model for the Intermittent Hydrologic Process(I) - Alternate Renewal Process (ARP) and Continuous Probability Distribution -)

  • 이재준;이정식
    • 대한토목학회논문집
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    • 제14권3호
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    • pp.509-521
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    • 1994
  • 본 연구는 간헐 수문과정인 일 강수계열의 모의발생 모델을 개발한 것으로서, 일 강수계열의 구조적 특성인 강수발생과정과 습윤일의 강수량과정을 고려하였다. 본 연구는 두편이 논문으로 구성되어 있으며, 연구(I)에서는 강수발생과정을 위하여 고대재생과정(ARP)을 이용하였으며, 건조 습윤계속기간 분포에 대해서는 TBD, TPD, TNBD, LSD의 4가지 이산형 확률분포를 적용하였다. 후속논문인 연구(II)에서는 강수발생과정으로 Markov 연쇄모델을 이용한다. 그리고 습윤일의 강수량 분포에 대해서는 Gamma 분포, Pearson Type-III 분포, Type-III 극치분포, 3모수 Weibull 분포의 4가지 연속형 확률분포를 적용하였다. 연구(I)에서는 낙동강 유역의 대구, 고령, 밀양, 영주 관측소 및 섬진강 유역의 하동, 순창, 구례 관측소의 일 강수계열 자료를 사용하였으며, 강수발생과정과 습윤일의 강수량과정을 조합하여 구성한 두가지의 일 강수계열 모의발생 모델 A-W, A-G 모델의 적용성을 확인하였다.

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다지점 일강수 모의를 위한 추계학적 강수모의모형의 구축 (Development of a Stochastic Precipitation Generation Model for Generating Multi-site Daily Precipitation)

  • 정대일
    • 대한토목학회논문집
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    • 제29권5B호
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    • pp.397-408
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    • 2009
  • 본 연구에서는 다지점의 일단위 강수량을 동시에 모의할 수 있는 추계학적 강수모의모형을 제시하였다. 각 지점의 강수발생은 무강수 기간에 대해 고차를 허용하는 혼합차수 마코프 모형을 이용하였으며, 강수량은 Anscombe 잔차와 감마분포를 이용하여 모의하였다. 다지점에 대한 강수발생과 강수량의 공간적 상관관계는, 상관관계를 가진 랜덤자료를 생성하여 재현하였다. 구축된 강수모의모형을 이용하여 우리나라 중부지역에 위치한 17개 관측지점의 강수량을 모의하고 모의정확성을 검토 하였다. 검증에 필요한 통계값들은 50번의 반복실행에 의해 생성된 강수량 시계열로부터 추정하여 제시하였다. 검토결과, 강수모의모형이 관측강수의 강수일수, 강수 지속기간, 무강수 지속기간, 강수일의 평균강수량과 표준편차 등을 비교적 잘 모의 하였다. 최대 강수 지속일과 무강수 지속일의 50번 반복실행의 평균값의 RMSE는 관측자료 평균값의 약 23% 정도, 100년 빈도와 200년빈도의 강수량의 RMSE는 관측자료 평균값의 약 17% 정도에 달하는 것으로 확인되었다. 강우발생과 강우량에 대한 공간적 상관관계는 비교적 정확히 재현하고 있음을 확인하였다.