• 대한환경공학회지
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• 제30권11호
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• pp.1123-1131
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• 2008

본 연구는 대기 중 PM2.5의 미량금속 중 As을 중성자방사화분석법을 이용하여 분석할 때 발생되는 측정불확도를 ISO GUM 방법과 MCS 방법을 모두 적용하여 비교, 평가하였다. 불확도의 요인은 ISO GUM을 엄격하게 준용하여 파악하였으며 특정일에 채취된 PM2.5 내 As 농도에 대해 두 방법의 계산 결과가 4% 미만으로 크게 다르지 않는 것으로 나타났다. 연구기간 중 채취된 총 60개의 PM2.5 시료에 대해 As 농도의 확장불확도를 역시 MCS 방법을 이용하여 산출하였는데, 연구지역에서의 As의 개별 농도값에 대한 95% 신뢰구간의 확장불확도는 대부분 10%의 범위에서 존재하는 것으로 나타났다. 확장불확도에 대한 표준불확도 요인의 기여율은 계측통계오차(62.3%), 검출효율(18.5%), 시료 채취 시 유량(12.3%), flux 변동(2.3%), 특정감마선 방출률(1.8%) 등의 순으로 크게 나타났다.

• 한국농공학회논문집
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• 제60권3호
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• pp.15-25
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• 2018

Estimating the reference evapotranspiration is an important factor to consider in irrigation system design and agricultural water use. However, there is a limitation in using the FAO Penman-Monteith (FAO P-M) equation, which requires various meteorological data. The purpose of this study is to compare three reference evapotranspiration (ETo) equations in the case of meteorological data missing for 11 study weather stations. Firstly, the FAO P-M equation is used for reference potential evapotranspiration estimation with the actual solar radiation data $R_n$ and the actual vapor pressure $e_a$. Then, in the case of $R_n$, and $e_a$ are missed, the reference evapotranspirations applying FAO P-M, Priestley-Taylor (P-T), Hargreaves (HG) equation were calculated using other meteorological factors. Secondly, MAE, RMSE, $R^2$ were calculated to compare ETo relationship from the ETo equations. From the results, ETo with Hargreaves equation in coastal areas and the Priestley-Taylor equation in the inland areas showed relatively high correlation with FAO P-M when $e_a$ data is missed. In the case of $R_n$ data is missed or two weather data, $e_a$, and $R_n$ data are all missed, $R^2$ value in Priestley-Taylor equation was highest in coastal areas, and $R^2$ values in Hargreaves equation were the high values for 7 inland areas. The results of sensitivity analysis showed that net radiation was the most sensitive for P-T and HG equation, and for FAO P-M, the most sensitive factor was net radiation and relative humidity, air temperature and wind speed were follows. Therefore, in considering of the accessibility to the coast, the types of the missing wether data, and the correlation and the magnitude of error, the reference evapotranspiration equations would be selected in sense of different conditions.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2008년도 춘계학술대회논문집
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• pp.647-652
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• 2008

This paper focused on the application of finite element model updating technique to evaluate the structural properties of the reinforced concrete specimen using the data collected from shaking table tests. The specimen was subjected to six El Centro(NS, 1942) ground motion histories with different Peak Ground Acceleration(PGA) ranging from 0.06g to 0.50g. For model updating, flexural stiffness values of structural members(walls and slabs) were chosen as the updating parameters so that the converged results have direct physical interpretations. Initial values for finite element model were determined from the member dimensions and material properties. Frequency response functions(i.e. transfer functions), natural frequencies and mode shapes were obtained using the acceleration measurement at each floor and given ground acceleration history. The weighting factors were used to account for the relative confidence in different types of inputs for updating(i.e. transfer function and natural frequencies). The constraints based on upper/lower bound of parameters and sensitivity-based constraints were implemented to the updating procedure in this study using standard bounded variable least-squares(BVLS) method. The veracity of the updated finite element model was investigated by comparing the predicted and measured responses. The results indicated that the updated model replicates the dynamic behavior of the specimens reasonably well. At each stage of shaking, severity of damage that results from cracking of the reinforced concrete member was quantified from the updated parameters(i.e. flexural stiffness values).

• 한국소음진동공학회논문집
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• 제18권7호
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• pp.725-731
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• 2008

This paper focused on the application of finite element model updating technique to evaluate the structural properties of the reinforced concrete specimen using the data collected from shaking table tests. The specimen was subjected to six El Centre (NS, 1942) ground motion histories with different peak ground acceleration (PGA) ranging from 0.06 g to 0.50 g. For model updating, flexural stiffness values of structural members (walls and slabs) were chosen as the updating parameters so that the converged results have direct physical interpretations. Initial values for finite element model were determined from the member dimensions and material properties. Frequency response functions (i.e. transfer functions), natural frequencies and mode shapes were obtained using the acceleration measurement at each floor and given ground acceleration history. The weighting factors were used to account for the relative confidence in different types of Inputs for updating (j.e. transfer function and natural frequencies) The constraints based on upper/lower bound of parameters and sensitivity-based constraints were implemented to the updating procedure in this study using standard bounded variable least-squares(BVLS) method. The veracity of the updated finite element model was investigated by comparing the predicted and measured responses. The results indicated that the updated model replicates the dynamic behavior of the specimens reasonably well. At each stage of shaking, severity of damage that results from cracking of the reinforced concrete member was quantified from the updated parameters (i.e. flexural stiffness values).

• 한국화재소방학회논문지
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• 제19권1호
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• pp.20-28
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• 2005

미국, 유럽 등의 대형 화학회사들은 효율적인 위험관리를 위해 단계적 위험성평가 전략을 채택하고 있다. HAZOP이나 정량적위험성평가와 같은 상세한 평가를 수행하기 위한 사전단계로서 위험선별(risk screening)기법을 도입하였다. 본 연구에서는 Khan과 Abbasi가 제안한 위험선별방법인 화재폭발손실지수 법(Fire & Explosion Damage Index, FEDI)을 국내의 BTX플랜트에 적용시켜 보았다. 적용결과를 정량적위험성평가의 결과와 비교해 본 결과, 화재폭발손실지수법이 위험잠재성을 파악하는데 효과적으로 사용될 수 있음을 알 수 있었다. 또한 화재폭발손실지수 법에 대한 민감도분석을 수행함으로써 화재 및 폭발에 영향을 미치는 가장 큰 인자는 설비내 물질의 특성과 양(quantity)임을 알 수 있었다. 본 연구의 결과를 바탕으로 하여 HAZOP의 사전단계로서 화재폭발손실지수 법을 적용한다면 보다 효율적인 위험성 평가가 가능할 것이다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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• pp.274-274
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• 2012

In-depth analysis by secondary ion mass spectrometry (SIMS) is very important for the development of electronic devices using multilayered structures, because the quantity and depth distribution of some elements are critical for the electronic properties. Correct determination of the interface locations is critical for the calibration of the depth scale in SIMS depth profiling analysis of multilayer films. However, the interface locations are distorted from real ones by the several effects due to sputtering with energetic ions. In this study, the determination of interface locations in SIMS depth profiling of multilayer films was investigated by Si/Ge and Ti/Si multilayer systems. The original SIMS depth profiles were converted into compositional depth profiles by the relative sensitivity factors (RSF) derived from the atomic compositions of Si-Ge and Si-Ti alloy reference films determined by Rutherford backscattering spectroscopy. The thicknesses of the Si/Ge and Ti/Si multilayer films measured by SIMS depth profiling with various impact energy ion beam were compared with those measured by TEM. There are two methods to determine the interface locations. The one is the feasibility of 50 atomic % definition in SIMS composition depth profiling. And another one is using a distribution of SiGe and SiTi dimer ions. This study showed that the layer thicknesses measured with low energy oxygen and Cs ion beam and, by extension, with method of 50 atomic % definition were well correlated with the real thicknesses determined by TEM.

• 한국수자원학회논문집
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• 제37권8호
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• pp.631-641
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• 2004

본 연구는 개념적 준분포형 모형인 SLURP 모형의 소양강댐유역의 적용가능성에 대해 다루었다. SLURP모형은 강우의 시공간적 변화를 반영하여 강우-유출을 해석하여 관개계획 및 수자원 관리 효과를 판단할 수 있는 준분포형 모형이다. DEM으로부터 지형분석프로그램인 TOPAZ/SLURPAZ와 연계하여 빠르고 쉽게 지형매개변수와 지형자료를 획득할 수 있다. NOAA/AVHRR 위성영상을 이용하여 월별 NDVI를 산출하였으며, 대상유역 주변의 5개의 기상 관측소를 통해 일별 수문기상자료(이슬점, 일사량, 최대ㆍ최소 대기 기온, 상대습도 등)을 얻었다. DEM NDVI, 수문기상자료를 이용하여 1998년부터 2001년까지 4 개년도의 일별유출량을 모의하였다. 매개변수 최적화를 위하여 민감도 분석 및 SCE-UA 방법을 사용하였으며 대상기간의 Nash-Sutcliffe의 모형효율과 WMO 통계량을 통해 소양강댐 유역의 SLURP모형의 적용성을 검증하였다.

• Journal of Preventive Medicine and Public Health
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• 제39권1호
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• pp.81-86
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• 2006

Background: A number of studies have reported associations between the ambient air pollution concentrations and various health outcomes. Especially, ozone is well known for primary risk factor of asthma attacks. The results of a recent study indicate that the size of the effect on health outcomes due to air pollution varied according to several conditions, including age, gender, race and the socioeconomic status. Therefore, this study was conducted to examine the associations of ozone with the childhood asthma hospitalizations as stratified by the socioeconomic status (SES) at the community level in Seoul, Korea, 2002. Methods: SES at aggregated levels was measured on the basis of average regional health-insurance rate per citizen in the area. We applied the generalized additive model to analyze the effect of ozone on asthma after controlling for the potential confounding variables that were capable of influencing the results. Results: Our analysis showed that the number of children who were hospitalized for asthma increased as the SES of the residence area decreased. The estimated relative risks of hospitalization for asthma, as stratified by the SES of the community level, were 1.12 (95% confidence interval 1.00-1.25) in districts with the highest SES levels, 1.24 (95% CI=1.08-1.43) within the moderate SES levels, and 1.32 (95% CI=1.11-1.58) in the districts with the lowest SES levels. Conclusions: Our analysis showed that exposure to air pollution did not equally affect the health status of individuals. This suggests that not only the biological-sensitivity markers, but also the SES of the subjects should be considered as potentially confounding factors.

• Computers and Concrete
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• 제32권2호
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• pp.119-138
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• 2023

Concrete carbonation is a prevalent phenomenon that leads to steel reinforcement corrosion in reinforced concrete (RC) structures, thereby decreasing their service life as well as durability. The process of carbonation results in a lower pH level of concrete, resulting in an acidic environment with a pH value below 12. This acidic environment initiates and accelerates the corrosion of steel reinforcement in concrete, rendering it more susceptible to damage and ultimately weakening the overall structural integrity of the RC system. Lower pH values might cause damage to the protective coating of steel, also known as the passive film, thus speeding up the process of corrosion. It is essential to estimate the carbonation factor to reduce the deterioration in concrete structures. A lot of work has gone into developing a carbonation model that is precise and efficient that takes both internal and external factors into account. This study presents an ML-based adaptive-neuro fuzzy inference system (ANFIS) approach to predict the carbonation depth of fly ash (FA)-based concrete structures. Cement content, FA, water-cement ratio, relative humidity, duration, and CO2 level have been used as input parameters to develop the ANFIS model. Six performance indices have been used for finding the accuracy of the developed model and two analytical models. The outcome of the ANFIS model has also been compared with the other models used in this study. The prediction results show that the ANFIS model outperforms analytical models with R-value, MAE, RMSE, and Nash-Sutcliffe efficiency index values of 0.9951, 0.7255 mm, 1.2346 mm, and 0.9957, respectively. Surface plots and sensitivity analysis have also been performed to identify the repercussion of individual features on the carbonation depth of FA-based concrete structures. The developed ANFIS-based model is simple, easy to use, and cost-effective with good accuracy as compared to existing models.

• 자원ㆍ환경경제연구
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• 제22권1호
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• pp.99-125
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• 2013

신재생에너지 산업은 유망한 미래를 가지고 있지만 아직 미성숙한 산업의 특성상 높은 리스크를 지니고 있다. 국내 신재생에너지 산업의 성장을 위해서는 국내의 신재생에너지 기업들의 리스크 요인들을 파악하고 그것들을 저감시켜 줄 수 있는 방안을 찾는 것이 중요하다. 따라서 본 연구에서는 국내 신재생에너지 기업들을 대상으로 리스크 요인을 파악하고 리스크를 감소시킬 수 있는 방안을 찾아보고자 하였다. 본 연구에서는 기업의 리스크를 주가의 관점에서 시장 주가의 변동 대비 기업 주가의 변동 정도로 파악하여 연구를 진행하였다. 분석결과 국내 신재생에너지 기업의 리스크에 영향을 미치는 기업 내부 요인들을 찾았다. 분석 결과 기업의 규모, 기업의 부채 비율의 증가율, 기업의 다각화 수준이 유의한 결과를 나타내었다. 기업의 규모가 클수록 기업의 리스크는 감소하는 것으로 나타났으며, 기업의 부채 비율의 증가율과 다각화 수준이 높을수록 기업의 리스크는 증가하는 것으로 나타났다. 두 번째로 기업 외부 요인 중 높은 풍력 및 태양광 국내 설치량 증가율과 높은 정부 R&D 지원의 증가율이 신재생에너지 기업의 리스크를 감소시킴을 확인하였다. 세 번째로 각 요소들의 신재생에너지 기업의 리스크에 대한 상대적 영향도를 파악하였다. 민감도 분석 결과 신재생에너지 기업의 리스크에 영향을 미치는 요소들은 국내 연간 설치량 증가율, 사업규모 또는 기업의 사업다각화 수준, 부채 비율 증가율, 정부 R&D 지원 증가율 순으로 그 영향도가 큰 것으로 나타났다.