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        검색결과 6

        3.
        2020.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Statistical analysis for the 703 air purifiers certified by Korea Air Cleaning Association from 2003 to 2019 was performed. Sixty-one percent of the products had an area coverage of 15 m2~30 m2 and the median value of the total products was 37.6 m2. The number of certified products by the top five manufacturers was 325, which corresponds to 46.2% of the total products. The median value of the clean air delivery rate (CADR) of the 703 products was 4.8 m3/min but the number of air purifiers over the value increased to 62.5%~66.3% since 2018. The odor removal ratio showed a median of 86.0% which was higher than the certification criteria but had large differences in efficacy in the five test compounds. Removal efficiencies of each compound in terms of the median and ratio to the average value showed acetate > formaldehyde > toluene > ammonia > acetaldehyde in descending order with large variances. The median noise level average value from five positions of air purifiers was 47.7 dB(A). However the medians of the top position and the front, where purified air was vented out, were relatively higher in 49.8 dB(A) and 48.2 dB(A), respectively. Noise level ratio to noise criteria had a median value of 96.4%, which showed that most of the noise levels were distributed near the criteria limit. The probability of the noise level at 100% of the criteria was calculated ton 0.232, which indicated excess noise levels.
        4,200원
        4.
        2018.03 KCI 등재 서비스 종료(열람 제한)
        수공구조물 설계시 실측 유량의 자료 부족으로 홍수량의 빈도해석 결과보다는 강우자료를 수집하여 강우-유출 관계에 따라 산정된 설계강우량을 이용하여 특정 빈도에 해당하는 설계 홍수량을 사용하는 것이 일반적이다. 과거에는 첨두유량 산정을 위하여 합리식과 같은 경험식을 이용하였으나 지속기간이 장기화됨에 따라 실제 사상과는 다른 유출양상이 나타나게 되므로 확률강우량 시간분포의 정확성이 중요하게 되었다. 현재 실무에서는 설계강우량의 시간분포 방법으로 Huff의 4분위 방법 중 3분위를 사용하고 있으며 분위별 곡선에 대한 회귀식은 지속기간 전반에 걸쳐 정확도가 높은 이유로 6차식을 적용하고 있다. 그러나 통계 모델링에서는 간결함의 원리에 따라 회귀식이 간결할 필요가 있으며, 통계적 유의수준에 기초하여 회귀계수를 결정할 필요가 있다. 따라서 본 연구에서는 기상청 관할 69개 강우관측지점을 대상으로 설계강우량의 시간분포 방법으로 사용되고 있는 Huff 4분위 방법의 시간분포 회귀식에 대한 유의성 검정을 실시하였다. 기상청 관할 69개 강우관측지점의 Huff 4분위 방법의 시간분포 회귀식의 유의성 검정결과 대부분의 지점에서 4차식까지 회귀계수가 유의한 것으로 나타나 통계학적으로 Huff의 4분위 방법의 시간분포 회귀식은 4차까지만 고려하여도 무방한 것으로 분석되었다.
        5.
        2014.12 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        Whistler mode chorus wave is considered to play a critical role in accelerating and precipitating the electrons in the outer radiation belt. In this paper we test a conventional scenario of triggering chorus using THEMIS satellite observations of waves and particles. Specifically, we test if the chorus onset is consistent with development of anisotropy in the electron phase space density (PSD). After analyzing electron PSD for 73 chorus events, we find that, for ~80 % of them, their onsets are indeed associated with development of the positive anisotropy in PSD where the pitch angle distribution of electron velocity peaks at 90 degrees. This PSD anisotropy is prominent mainly at the electron energy range of ≤ ~20 keV. Interestingly, we further find that there is sometimes a time delay among energies in the increases of the anisotropy: A development of the positive anisotropy occurs earlier by several minutes for lower energy than for an adjacent higher energy.
        6.
        2010.10 KCI 등재 서비스 종료(열람 제한)
        Three meteor-statistical forecasting models - the transfer function model, the time-series autoregressive model and the neural networks model - were tested to develop a daily forecasting model for Jejudo, where the need and demand for wind power forecasting has increased. All the meteorological observation sites in Jejudo have been classified into 6 groups using a cluster analysis. Four pairs of observation sites among them, all having strong wind speed correlation within the same meteorological group, were chosen for a model test. In the development of the wind speed forecasting model for Jejudo, it was confirmed that not only the use a wind dataset at the objective site itself, but the introduction of another wind dataset at the nearest site having a strong wind speed correlation within the same group, would enhance the goodness to fit of the forecasting. A transfer function model and a neural network model were also confirmed to offer reliable predictions, with the similar goodness to fit level.