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        검색결과 5

        1.
        2010.06 KCI 등재 SCOPUS 구독 인증기관 무료, 개인회원 유료
        무에 대한 I2 증기의 작물체 침적속도와 뿌리 전류계수를 측정하기 위하여 파종 후 29 일에서 53 일 사이에 생육시기별로 작물체를 I2 증기에 80 분 간 피폭시켰다. 피폭은 오전 중에 투명한 상자 내에서 수행되었다. 침적속도(ms-1)는 대체로 1.0×10-4∼2.0×10-4의 범위로 생육밀도가 높을수록 증가하는 경향이었다. 또한 상대습도가 높을 경우 값이 커진다는 기존 보고와 어느 정도 일치하였다. 본 침적속도는 몇몇 야외 측정치보다 수 십 배 정도 낮았고 이는 주로 피폭상자 내의 낮은 풍속(0.2 ms-1 내외)에 기인하는 것으로 추정되었다. 뿌리 전류계수(작물체 총침적량에 대한 수확시 뿌리 내 함유량의 비)는 다소 보수적으로 계산하여 파종 후 29 일 피폭에서 1.3×10-3, 파종 후 53 일 피폭에서는 5,0×10-3이었다. 본 실험결과의 이용에 있어서는 기상 조건, 요오드의 물리화학적 형태 등에 유의할 필요가 있다.
        4,000원
        2.
        2003.04 KCI 등재 서비스 종료(열람 제한)
        It has been researched the relationship between deposition velocity and factors which could affect the deposition phenomena and deposition velocity also has been estimated for several land-use types. The typical deposition velocities are complex functions of surface types, atmospheric stabilities, friction velocities, air pollutants and so on. The canopy resistance is major contribution to the model's total resistance for O3. Canopy wetness is also an important factor to calculate deposition velocity. We considered the canopy wetness as canopy water content(CWC) in our Model. But, it is not easy to observe CWC over each land-use types. In this study, we use CWC observed by EMEFS(CANADA Environment Service, 1988) to examine the influence of CWC in estimation of O3 dry deposition velocity(Vd) in summertime. The value of O3 Vd range 0.2~0.7 cms-1 on dry surface and 0.01~0.35 cms-1 on wet surface in daytime.
        3.
        2002.09 KCI 등재 서비스 종료(열람 제한)
        Land-use types should be included in air pollutant diffusion model because a complex mixture of various land-use patterns with computational grid can make errors in calculation of several parameters. However, the air pollutant diffusion model has generally been treated with a uniform component with land-use type in each mesh because of the complexity of the simulation. This study presents a numerical simulation of the horizontal distribution of O3 dry deposition velocity during summertime in Busan metropolitan city. The calculation of the meteorological field was conducted using the land cover data. Simulation has been performed by the following two scenarios : (1) one with current land cover data, and (2) the other with only land and sea for the surface characteristics. The results from each scenario reveals considerable differences on the meteorological fields and these differences can cause changes in the calculation values of O3 deposition velocity.
        4.
        2002.07 KCI 등재 서비스 종료(열람 제한)
        The aerodynamic resistance(Ra) to vertical transfer in the surface boundary layer can be formulated in terms of the friction velocity, height of observation, vertical heat flux and surface roughness. Unlike previous studies which focused on the role of Rc, present study perform additional tests using a variety of Ra formulae. Several Ra formulations available in the literature, suitable for unstable conditions, were tested for their influence on the dry deposition velocity. The canopy resistance(Rc) determines the shape of the diurnal pattern, while a small amplitude diurnal cycle in Vd was attributed to the aerodynamic resistance. The aerodynamic resistance is the major contributor to the formation of spikes in nighttime and Ra is relatively important at night because the canopy resistance is smaller. All formulations show similar diurnal cycle and yield good agreement with the observations. Although present Vd formulations are suitable for numerical air quality models, the research must continue for further improvements in resistance parametrizations.
        5.
        1994.12 KCI 등재 서비스 종료(열람 제한)
        A predictive modal is demonstrated for gas removal rates from the atmosphere by dry deposition. Typical deposition velocities are complex functions of surface types, atmospheric stabilities, friction velocities, air pollutants, and so on. In this paper we simulated the calculation of dry deposition velocities near the earth surfaces, simultaneously we estimated real dry deposition velocities using the previous simulation. The measurement taken over a deciduous forest by Padro et al.(1988) were used to verify this model. In the comparison of the value of deposition velocity between numerical computation and observation, there are partially overestimations and underestimations between them, but we can speak that they are in a good accordance.