• Journal of Korean Tunnelling and Underground Space Association
• /
• v.18 no.3
• /
• pp.273-282
• /
• 2016

This study estimates tunnel face pressure through existing 8 analytical equations and 3D numerical analysis, and compares and examines it. In general, the estimating tunnel face pressure of domestic shield TBM has been examined by a method according to analytical equation and empirical method, but numerical analysis is combined in a section passing complicated stratigraphic condition and special soil condition. Therefore, the researcher is to find a reliable method to examine of tunnel face pressure by confirming a correlation between tunnel face pressure estimated by equation and tunnel face pressure estimated by numerical analysis program. When tunnel face pressure is estimated, both analytical equation and numerical analysis were identically examined in soil conditions such as sandy soil and cohesive soil. In addition, existing analytical equation is used as equation, and 3D analysis copying construction process and shield tunnel as numerical analysis.

• Journal of Korean Society of Rural Planning
• /
• v.19 no.4
• /
• pp.125-135
• /
• 2013

Analysis and evaluation of uncertainty is adopting the advanced methodology among the methods for greenhouse gas emission assessment that was defined in GPS2000 (Good practice guideline 2000) and GPG-LULUCF (GPG Land Use, Land-Use Change and Forestry). In 2006 IPCC guideline, two approaches are suggested to explain the uncertainty for each section with a national net emission and a prediction value on uncertainty as follows; 1) Spread sheet calculation based on the error propagation algorithm that was simplified with some assumptions, and 2) Monte carlo simulation that can be utilized in general purposes. There are few researches on the agricultural field including greenhouse gas emission that is generated from livestock and cultivation lands due to lack of information for statistic data, emission coefficient, and complicated emission formula. The main objective of this study is to suggest an evaluation method for the uncertainty of greenhouse gas emission in agricultural field by means of intercomparison of the prediction value on uncertainties which were estimated by spread sheet calculation and monte carlo simulation. A statistic analysis for probability density function for uncertainty of emission rate was carried out by targeting livestock intestinal fermentation, excrements treatment, and direct/indirect emission from agricultural lands and rice cultivation. It was suggested to minimize uncertainty by means of extraction of emission coefficient according to each targeting section.

• Journal of the Korean Society of Groundwater Environment
• /
• v.5 no.2
• /
• pp.116-121
• /
• 1998

For the application of study on pollution and conservation of environment determination of 33 elemental concetrations in different sediment samples were carried out using instrumental neutron activation analysis (INAA). For verification and evaluation of the analytical method, three standard reference materials (two NIST SRMs and one NRCC CRM) were chosen and the accuracy and precision of the analysis were estimated by comparison to the certified values. Under the optimum condition, the analytical procedure to apply a practical sample was estimated. Neutron irradiation of sample was done at the irradiation facilities (neutron flux, 1-3${\times}$10$\^$13/n/$\textrm{cm}^2$$.$s) of the TRIGA MARK-III and HANARO research reactor in the Korea Atomic Energy Research Institute. In addition, analysis of two IAEA's sediment was performed according to the pre-established analytical method. The analytical results of elements such as Al, As, Co, Cr, Fe, Sb and Zn by INAA were intercompared with those of WD-XRF, ICP-MS and AAS, and are relatively agreed with each other.

• Journal of Applied Biological Chemistry
• /
• v.60 no.3
• /
• pp.279-282
• /
• 2017

Chloride is known as the most important anion in salt-affected soils. We observed the degree of EC change upon AgCl precipitation was quantitatively related with the chloride concentration. Method validation and intercomparison with ion chromatography revealed the proposed method can provide rapid and moderately precise chloride concentrations in salt-affected soils.

• Journal of Korea Water Resources Association
• /
• v.37 no.3
• /
• pp.173-184
• /
• 2004

The objective of this study is to examine the usefulness of climate model simulations (GCM) in Korea water resource management. The methods are based on probabilistic measures of the effectiveness of GCM simulations of an indicator variable for discriminating high versus low regional observations of a target variable. The formulation uses the significance probability of the Kolmogorov-Smirnov test for detecting differences between two variables. AMIP-II(Atmospheric Model Intercomparison Project-II) type GCM simulation done by ECMWF(European Centre for Medium-Range Weather Forecasts) was used for indicator variable and observed mean average precipitation(MAP) values on 7 major river basins were used as target variable. Monte Carlo simulation is used to establish the significance of the estimator values. The results show that GCM simulations done by ECMWF are skillful in discriminating the high from the low of the observed MAP for wet season in all seven basins of Korea, but not enough for dry season.

• Korean Journal of Environmental Agriculture
• /
• v.26 no.2
• /
• pp.186-191
• /
• 2007

The objective of this research was to assess the reliability of data and to improve nuclear analytical techniques concerning the Domestic Radioactivity Intercomparison program for environmental radioactivity monitoring of Jeju from 1998 to 2006. Gross beta for filter papers and water samples was determined, and gamma nuclides for natural and artificial nuclides in soil and water samples were analyzed. The gross beta activity of all samples except for the water samples of 1998 and 1999 showed a good agreement within the confidence intervals. In gamma nuclides, $^{40}K$ and $^{137}Cs$ of soil samples and most nuclides in the water samples, with the exception of several nuclides, were evaluated to be reliable. Based on these results, it is considered that a reliable method for the analysis and monitoring of environmental radioactivity were established, which may play an important role in case of emergency radiation accident.

• Atmosphere
• /
• v.27 no.2
• /
• pp.199-211
• /
• 2017

The cold surges over East Asia can be grouped to two types of the wave-train and the blocking. Recently, the observational study proposed new dynamical index to objectively identify cold surge types. In this study, the dynamical index is applied to the simulations of 10 climate models, which participate in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Focusing on assessment of cold surge simulation, we discuss characteristic of the wave-train and blocking cold surges in the climate models. The wave-train index (WI) and the blocking index (BI) based on potential temperature anomalies at dynamical tropopause over the subarctic region, the northeast China, and the western North Pacific enable us to classify cold surges in the climate models into two types. The climate models well simulate the occurrence mechanism of the wave-train cold surges with vertical structure related to growing baroclinic wave. However, while the wave-train in the observation propagates in west-east direction across the Eurasia Continent, most of the models simulate the southeastward propagation of the wave-train originated from the Kara Sea. For the blocking cold surges, the general features in the climate models well follow those in the observation to show the dipole pattern of a barotropic high-latitude blocking and a baroclinic coastal trough, leading to the Arctic cold surges with the strong northerly wind originated from the Arctic Sea. In both of the observation and climate models, the blocking cold surges tend to be more intense and last longer compared to the wave-train type.

• Journal of Radiation Protection and Research
• /
• v.39 no.2
• /
• pp.96-102
• /
• 2014

Urine bioassay has been widely used for internal dosimetry due to simple process of sampling and measurement. In this paper, we participated in the NRIP (NIST Radiochemistry Intercomparison Program) hosted by US NIST to carry out a reliable performance test of urine bioassay and introduced the measurement method and results of NRIP-2013. In customary exercise with 60 days of reporting time, bioassay results of 12 radionuclides in the synthetic urine samples were acceptable based on the performance criteria of ANSI N13.30. In emergency preparedness exercise with 8 hours of reporting time, bioassay results of 9 radionuclides showed that differences ranged from -35% to 45%. However, we concluded that urine bioassay applied for emergency preparedness exercise would be applicable for rapid screening and estimation of internal exposure within a difference of ${\pm}45%$ in the event of radiological accidents.

• Proceedings of the KSRS Conference
• /
• 2000.04a
• /
• pp.43-48
• /
• 2000

중간 및 하부 대규권의 열적 상태에 대한 결과들의 상대적인 정확성을 평가하기 위하여 대기대순환 모델의 재분석(1980-93년) 그리고 세 종류의 위성관측 자료들(1980-97년)을 태평양, 한반도 부근에 대한 시.공간 분석으로 상호 비교하였다. 중간 대류권 온도를 반영하는 위성자료는 본 연구에서 유도된 Microwave Sounding Unit (MSU) 채널2 직하점 밝기온도(MSU2)와 Spencer and Christy(1992a)가 전체 주사자료를 사용하여 유도된 채널2 밝기 온도(SC2)이고, 하부 대류권 온도를 반영하는 위성자료는 Spencer and Christy(1992a)가 유도한 것이다(SC2R). 또한, 모델 자료는 ECMWF 재분석 온도이며, 위성관측 자료와의 비교를 위하여 재구성되었다. 한편, 각 위.경도 격자에서 위성관측과 모델 재분석의 월평균 값들의 상관도 전구적으로 조사하였다. 세 종류의 관측 자료들 간의 상관은 중.고위도에서 높았으나(r$\geq$0.9), 저위도 그리고 대류가 활발한 열대 서태평양 및 콩고강 부근에서 낮았다(r~0.65). 특히 SC2R에 대한 다른 자료의 상관이 상대적으로 낮았다. 이는 하부 대류권의 열적 상태를 반영하는 SC2R이 수적 및 지표방출의 영향으로 잡음을 크게 내포하기 때문인 것으로 추정되었다. 관측들과 모델 온도에 대한 월평균과 아노말리 값의 분석에서 시.공간 변동은 대체로 유사하였다. 관측 및 모델 자료는 열대 태평양 이외의 지역에 대한 월평균 값 모드1에서 연주기를 보였으나, 열대 태평양의 경우 모드2에서 보였다. 열대 태평양의 MSU2 모드1은 Walker 순환에 의한 동.서 대비를 보인 반면, 다른 위성관측과 모델 자료에서는 이러한 형태가 현저하지 않았다. 이 지역의 아노말리 값 모드2에서 위성관측들은 엘리뇨 기간에 적도를 중심으로 열대 동태평양 부근에서 아령모양의 대칭 형태를 보였으나 모델 결과에서는 이러한 특징이 약하였다. 관측과 모델 모두는 열대 태평양에 대한 아노말리 값의 모드 1,2에서 엘니뇨와 라니냐에 의한 경년변동을 뚜렷하게 보였다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.197-201
• /
• 2018

인공위성 기반의 원격탐사자료는 홍수, 가뭄 등 자연재해에 대한 모니터링 및 예측에 활용되어 왔으며, 특히 인공위성을 이용한 광역적 강수량 추정 자료는 지형적 제약을 받는 지상관측자료와 비교하여 시공간적으로 연속적이고 균질한 강수량 자료 취득이 가능하다는 장점이 있다. 우리나라의 경우 상대적으로 조밀한 지상관측망이 구축되어 있어 공간적으로 상세한 강수량 정보를 생산할 수 있는 여건을 갖추고 있지만, 북한 지역의 경우 기상, 수문, 통계자료에 관한 자료의 접근 및 품질의 제한성으로 인해 미계측 지역에 대한 강수량의 추정에 한계가 있다. CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations) 데이터는 1999년부터 미국국제개발처 (U.S. Agency for International Development, USAID), 미국항공우주국 (National Aeronautics and Space Administration, NASA), 미국해양대기청 (National Oceanic and Atmospheric Administration, NOAA)의 지원으로 개발된 전지구 강우데이터 자료이다. CHIRPS는 1981년부터 현재까지 전지구 강우자료를 0.05도 격자 해상도로 제공하고 있으며, 강수량의 추세 분석 및 가뭄 모니터링을 위해 활용되고 있다. 본 연구에서는 CHG (Climate Hazards Group)에서 제공하고 있는 인공위성을 이용한 광역적 강수량 추정 자료인 CHIRPS와 남한 및 북한의 지상관측 강수량 자료와의 비교를 통해 위성으로부터 유도된 격자 강수량자료의 정확도 및 지역적인 강수추정의 불확실성을 평가하고, 수자원 및 재해 분야 이용 가능성을 검토하고자 한다.