• 환경영향평가
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• 제21권3호
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• pp.417-429
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• 2012

In this study, a diagnostic wind model, CALMET and a micrometeorological numerical model, ENVI-MET were used to analyze the wind field in and out of the site designated for the industrial complex around Buron-myeon, Wonju, Gangwon-do. The results of modeling with CALMET showed that the air flow in industrial complex was little affected by the surrounding terrain. And the result of wind field analysis with ENVI-MET showed there are turbulent air flows such as cavity and wake around structures in the industrial complex, which can cause high-air pollution. Therefore, it is necessary to design the industrial complex considering the wind path according to wind directions.

• 한국환경보건학회지
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• 제16권2호
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• pp.21-29
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• 1990

This study investigated to find out the patterns of the wind direction and wind speeds influenced by concentration of sulfur dioxide in Taegu area for a year in 1988.The results were as follows: Prevailing wind by months where easterly wind from May to September and the other months were westerly and / or west-north-westerly wind. Condition of calm was the most at December(8.6%). Prevailing wind by seasons were westerly and easterly wind in spring and autumn, east-north-easterly and/or west-south wind in summer, the other hand, west-south-westerly and/or west-north-westerly wind in winter. Mean concentration of sulfur dioxide (SO$_{2}$) at each sites were influenced by prevailing wind and location of industrial estates. Mean wind speeds by times were the highest at the before and after 4 P.M.,but the lowest at the before and after 5 A.M. Average wind velocity were highest at Spring (3.38m / sec).

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2000년도 추계학술대회 논문집
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• pp.51-54
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• 2000

수은의 순환현상은 원소성 수은의 지화학적 분포특성으로 대표된다 (Kim et al., 1997). 강한 휘발성과 화학적인 안정성은 광역적으로 수은이 균질한 분포특성을 유지하여 지구규모의 대기순환에 종속되는 원인으로 이해된다. 수은의 순환과 관련된 근래의 연구들은 다음과 같이 다양한 환경권계면간에서 진행되는 교환현상들에 주로 초점을 맞추어 왔다. 대기환경과 수림식생과의 교환현상에 대한 연구 (Lindbereg et al., 1995, 1998), 대기환경과 토양생태계의 교환 (Carpi and Lindberg, 1998; Kim et al., 1995; Kim and Kim, 1999, 1998. Xiao et al., 1991), 수환경과 대기환경계의 교환(Poissant and Casimir, 1998)등 상대적으로 오염원의 강한 영향을 받는 환경권역을 중심으로 한 교환현상에 대한 정량적인 평가자료는 아직까지 드물게 보고되고 있다. (중략)

• 한국농림기상학회지
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• 제1권1호
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• pp.60-71
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• 1999

The micrometeorological tower flux network is the cornerstone of the global terrestrial vegetation monitoring. The eddy covariance technique used for tower fluxes is derived from the conservation of mass and is most applicable for steady-state conditions over flat, extended, and uniform vegetation. This technique allows us to obtain surface fluxes of energy budget components, greenhouse and trace gases, and other pollutants. The quality-controlled flux data are invaluable to validate various models with temporal scales ranging from minutes to years and spatial scales ranging from a few meters to hundreds of kilometers. In this paper, we review the theoretical background of this important eddy covariance technique, examine the measurement criteria and corrections, and finally suggest some measurement strategies that may facilitate coordinated flux measurements among different disciplines and provide a strong infrastructure for the global flux network.

• 대한원격탐사학회지
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• 제35권4호
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• pp.609-616
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• 2019

Land surface temperature ($T_s$) is a critical variable for understanding the surface energy exchange between land and atmosphere. Using the data measured from micrometeorological flux towers, three types of $T_s$, obtained using a thermal-infrared radiometer (IRT), a net radiometer, and an equation for sensible heat flux, were compared. The $T_s$ estimated using the net radiometer was highly correlated with the $T_s$ obtained from the IRT. Both values acceptably fit the $T_s$ from the Terra/MODIS (Moderate Resolution Imaging Spectroradiometer)satellite. These results will enhance the measurement of land surface temperatures at various scales. Further, they are useful for understanding land surface energy partitioning to evaluate and develop land surface models and algorithms for satellite remote sensing products associated with surface thermal conditions.

• 한국토양비료학회지
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• 제25권3호
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• pp.231-241
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• 1992

벼 군락(群落)의 미기상요소(微氣象要素)들이 증발산(蒸發散)에 미치는 영향(影響)과 그들의 상호관련(相互關聯)을 구명(究明)하고자 1989년(年)에 기상청(氣象廳) 수원기상대(水原氣象臺) 포장(圃場)에서 대청벼와 삼강벼를 공시(供試)하여 종관기상(綜觀氣象), 군락(群落)의 미기상(微氣象)과 증발산량(蒸發散量), 작물(作物)의 건물생산량(乾物生産量) 등을 측정(測定) 조사(調査)하고, 증발산량(蒸發散量)의 생육시기별(生育時期別) 변화(變化)와 기상요소(氣象要素)의 영향(影響)을 검토(檢討)한 결과(結果)를 요약(要約)하면 다음과 같다. 1. 벼 군락(群落)의 증발산량(蒸發散量)은 증발계(蒸發計)의 증발량(蒸發量), 기온(氣溫), 일사량(日射量), 일조시수(日照時數), 초관부(草冠部) 상단(上端)의 공기(空氣)와의 포차(飽差), 수온(水溫) 등의 순(順)으로 상관계수(相關係數)가 높았다. 2. 벼 군락(群落)의 증발산량(蒸發散量)과 측정증발량(測定蒸發量)과의 관계(關係)는 소형증발계(小型蒸發計)의 증발량(蒸發量)에 비하여 Class A 증발계(蒸發計)의 증발량(蒸發量)이 더욱 밀접한 상관관계(相關關係)를 보였다. 3. 벼 군락(群落)의 증발산량(蒸發散量)과 증발량(蒸發量)과의 관계(關係)에서 대청벼 보다 삼강벼의 상관계수(相關係數)가 더욱 높은 품종간차이(品種間差異)를 보였다. 4. Class A 증발계(蒸發計)로 측정(測定)된 증발량(蒸發量)에 대한 벼 군락(群落)의 증발산량(蒸發散量)의 비(比)는 전생육기간(全生育期間)을 통(通)하여 1.0이상이었으며, 8월(月) 하순(下旬)에는 1.9로서 최고(最高)에 달하였다. 5. Class A 증발계(蒸發計)의 증발량(蒸發量)은 소형증발계(小型蒸發計)에 의한 측정치(測定値)의 0.719배(倍)이었다. 6. 증발산량(蒸發散量)은 순복사량(純輻射量)보다는 태양(太陽)에너지 복사량(輻射量)과의 상관(相關)이 높았으며, 순복사량(純輻射量)은 태양(太陽)에너지 복사량(輻射量)의 0.66배(倍)이었다. 7. 최고기온(最高氣溫)은 평균기온(平均氣溫)보다 작물(作物)의 증발산량(蒸發散量)과의 상관(相關)이 높았고, 6m 높이의 풍속(風速)과는 정(正)의 상관(相關)을 보였지만, 강우일(降雨日)을 제외한 경우 상대습도(相對濕度)와의 상관계수(相關係數)는 매우 낮았다. 8. 기상요소(氣象要素)를 자료(資料)로 증발산량(蒸發散量)을 추정(推定)하기위하여 작성된 회귀(回歸)모델은 $ET=-5.3594+0.7005_{pan}A+0.1926T_{mean}+0.0878_{sol}+0.025RH$이었고, 이 모델에 의한 추정치(推定値)는 실측치(實測値)와 거의 일치(一致)($R^2=0.607$)하였다.

• 한국농림기상학회지
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• 제15권1호
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• pp.9-16
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• 2013

해안사구는 해양생태계에서 내륙생태계로 이행하는 생태 이행대(ecotone)로서 중요한 생태계이다. 이러한 독특한 생태계의 서식지 특성 분석의 일환으로 우리나라에서 사구가 가장 넓게 분포하는 지역인 태안해안국립공원에서 미기상 요인(기온, 지온, 상대습도, 토양수분함량, 강우량 및 일사량, 풍향 및 풍속)의 통년 관측자료를 이용하여 계절변화를 분석하였다. 해안사구 초지생태계에서 미기상 요인의 계절변화는 산림생태계와 비교하여 상대적으로 고온 다습하며 6월과 7월에 집중 강우를 보였다. 토양온도는 기온보다 평균 $2{\sim}3^{\circ}C$ 높은 상태로 계절변화 하였으며 토양수분함량은 연중 10% 미만으로 매우 건조한 특성을 나타내었다. 또한 2011년 최고 풍속은 156.72m $s^{-1}$(10월 7일)를 기록하였고 현지 측정한 풍향과 기상청 자료는 상이함을 알 수 있었다. 해안사구 초지생태계의 서식지 특성을 더 잘 이해하기 위해서는 이러한 미기상 요인의 통년 장기관측이 필요할 것이다.

• 한국환경과학회지
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• 제2권3호
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• pp.207-216
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• 1993

The concentrations of $SO_2$ and $SO_3$ were measured to estimate a new developed long time exposure $SO_2$ sampler at Onsan industrial area considering the meteorological factors from June to October, 1992. The mean concentration of $SO_3$ by $PbO_2$ method was 0.924 mg $SO_3 / 10cm^2$ $PbO_2$/day and their high values were shown in the center of the industrial area, which show potential pollution due to the increase of industrial activities and micrometeorological factors in and around the sites. As a result of statistical correlation between $SO_2$ concentration by new sampling method and $SO_3$ concentration by $PbO_2$ method in July and August, 1992, correlation coefficients were high (r=0.87, 0.91) and shown more than 0.83 value in the high concentration data set, which was arbitrarily divided into 7~10${\mu}l$$SO_2$ concentration in an attempt to further investigate these relationships. Therefore, use of new developed long time exposure TEX>$SO_2$ sampler is good for TEX>$SO_2$ measurement and valuable for estimation of air quality in the urban and industrial area. Key Words : a new developed long time exposure TEX>$SO_2$ sampler, correlation coefficients, high, $SO_2$ measurement, estimation of air Quality.

• 한국대기환경학회지
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• 제12권2호
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• pp.189-198
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• 1996

Mercury (Hg) is ubiquitous throughout the earth's atmosphere. The uniqueness of its atmospheric geochemistry is well-known with the high environmental mobility and relatively long atmospheric residence time (c.a., 1 year) associated with its high chemical stability. Despite a growing recognition of the environmental significance of its global cycling, the prexisting Korean database for atmospheric Hg is extremely rare and confined to a number of concentration measurements conducted under relatively polluted urban atmospheric environments. To help activate the research on this suvject, an in-depth analysis on the current development in the measurements of atmospheric mercury and the associated fluxes has been made using the most using the most updated data ests reported worldwide. As a first step toward this purpose, the most reliable techniques commonly employed in the measurements of its concentration in the background atmosphere are introduced in combination with the flux measurement techniques over soil surface such as: dynamic enclosure (or field flux chamber) method and field micrometeorological method. Then the results derived using these measurement techniques are discussed and interpreted with an emphasis on its mobilization across the terrestrial biosphere and atmosphere interface. A unmber of factors including air/soil temperature, soil chemical composition, soil water content, and barometric pressure are found out to be influential to the rate and amount of such exchange processes. Although absolute magnitude of such exchange processes is insignificant relative to that of the major component like the oceanic environment, this exchange process is thought to be the the predominant natural pathway for both the mobilization and redistribution of atmospheric Hg on a local or regional scale.

• Asian-Australasian Journal of Animal Sciences
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• 제23권9호
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• pp.1229-1235
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• 2010

With the increase of human activities since the Industrial Revolution, atmospheric greenhouse gas (GHG) concentration has increased, which is believed the cause of climate change. Methane ($CH_4$) fluxes were measured at two commercial swine barns (Jarvis and Guelph) with a four tower micrometeorological mass balance method. Two and three separate measurements were conducted at Jarvis and at Guelph, respectively. In the Jarvis experiments from May to July, mean $CH_4$ flux ($490.4{\mu}g/m^2/s$) during daytime was lower than that during nighttime ($678.0{\mu}g/m^2/s$) (p<0.05), which would be caused by break of slurry temperature stratification. In the Guelph experiment from January to April, mean $CH_4$ flux ($62.9{\mu}g/m^2/s$) during daytime was higher than that during nighttime ($39.0{\mu}g/m^2/s$) (p<0.05), which would be generated by high slurry temperature at 3 cm depth after April 6. Slurry temperature stratification in the Guelph experiment would happen from January to March.