• Journal of the Korean Society of Propulsion Engineers
• /
• v.26 no.6
• /
• pp.1-9
• /
• 2022

This study introduces the calculation model of ionization composition and electrical conductivity for metallic plasma for practical application to modeling and simulation of modern electrical detonators. The present model includes the correction for non-ideality of dense plasma conditions which are expected in electrical explosion of bridge in detonators. The computational results for copper plasma show favorable agreement with experimental data for a wide range of plasma temperature and high density conditions and the model is proper for detonator modeling with good prediction accuracy.

• Journal of Korean Society of Environmental Engineers
• /
• v.36 no.3
• /
• pp.178-184
• /
• 2014

In this study, monitoring method which is more economic and easier in maintenance comparing to existing monitoring system was scrutinized for application to sewer intercepting chamber of 10.2 ha basin area by estimating CSOs (Combined Sewer Overflows) quantity and quality with 2 rainfall events using electrical conductivity data and civil research model. The result showed that determination coefficient of flow estimation by EC (Electrical Conductivity) dilution ratio and observed data was over 0.86 for all cases and the accuracy of estimation was improved from 0.5 to 0.8 for determination coefficient ($R^2$) and from 54.1% to 68.5% for accumulation frequency of relative error by considering antecedent dry days and rainfall duration. CSOs water quality estimation results by civil research model showed that determination coefficients were 0.64~0.97 for BOD and 0.70~0.95 for SS.

• Journal of Bio-Environment Control
• /
• v.1 no.1
• /
• pp.52-60
• /
• 1992

The optimum management of nutrient solution needs the effective combination of fertilizers as well as the accurate control of nutrient solution. This study was attempt to make a supporting system for effective fertilizer combination by using computer and also to develop a EC predicting equation for keeping the EC of solution within the allowable range after application of combined fertilizers. The supporting system consists of three parts : (1) data bases, (2) rules for deciding the kinds and amounts of fertilizers and (3) main control. With input data, the main control automatically constructs the network connecting the related data bases and subsequently executes the operation of searching proper fertilizers through it. For more effective searching, fertilizers are classified into two levels(level 1 and level 2) in consideration of solubility, price, and frequency in use, and searched in that order. The EC prediction equation, a extended form of the Robinson and Stroke's theoretical equation only available for a binary electrolyte, is suggested for predicting the EC of the nutrient solution containing many kinds of inorganic compounds. The comparison of predicted and measured ECs showed good agreements with the high correlation between the predicted EC decrement by ion interaction and the actual one(limiting EC minus measured EC).

• Journal of Bio-Environment Control
• /
• v.1 no.2
• /
• pp.162-168
• /
• 1992

As the automation of nutrient solution management proceeds in the field of hydroponics, effective supporting systems to manage the nutrient solution by computer become needed. This study was attempt to predict the EC of nutrient solution using the neural networks. The multilayer perceptron consisting of 3 layers with the back propagation learning algorithm was selected for EC prediction, of which nine variables in the input layer were the concentrations of each ion and one variable in the output layer the EC of nutrient solution. The meq unit in ion concentration was selected fir input variable in the input layer. After the 10,000 learning sweeps with 108 sample data, the comparison of predicted and measured ECs for 72 test data showed good agreements with the correlation coefficient of 0.998. In addition, the predicted ECs by neural network showed relatively equal or closer to the measured ones than those by current complicated models.

• Journal of the Korean Geotechnical Society
• /
• v.31 no.6
• /
• pp.45-58
• /
• 2015

The aim of this study is to suggest a semi-empirical equation for estimating the hydraulic conductivity of sands using geoelectrical measurements technique. The suggested formula is based on the original Kozeny-Carman equation; therefore varying factors affecting the Kozeny-Carman equation were selected as the testing variables, and six different sands with varying particle sizes and particle shapes were used as the testing materials in this study. To measure both hydraulic and electrical conductivities, a series of constant head permeameter tests equipped with the four electrodes conductivity probe was conducted. Test results reveal that the effects of both pore water conductivity and flow rate in relation between hydraulic conductivity and formation factor (=pore water conductivity / measused conductivity of soil) of tested materials are negligible. However, because the variations of hydraulic conductivity of the tested sands according to particle sizes are significant, the estimated hydraulic conductivity using the formation factor varies with particle sizes. The overall comparison between the measured hydraulic conductivity and the estimated hydraulic conductivity using the suggested formula shows a good agreement, and the variation of hydraulic conductivity with varying Archie's m exponents is smaller compared with varying porosities.

• Geophysics and Geophysical Exploration
• /
• v.12 no.4
• /
• pp.347-354
• /
• 2009

Physical properties of rocks are strongly dependant on details of pore micro-structures, which can be used for quantifying relations between physical properties of rocks through pore-scale simulation techniques. Recently, high-resolution scan techniques, such as X-ray microtomography and high performance computers make it possible to calculate permeability from pore micro-structures of rocks. We try to extend this simulation methodology to velocity and electrical conductivity. However, the smoothing effect during tomographic inversion creates artifacts in pore micro-structures and causes inaccurate property estimation. To mitigate this artifact, we tried to use sharpening filter and neural network classification techniques. Both methods gave noticeable improvement in pore structure imaging and accurate estimation of permeability and electrical conductivity, which implies that our method effectively removes the smoothing effect in pore structures. However, the calculated velocities showed only incremental improvement. By comparison between thin section images and tomogram, we found that our resolution is not high enough, and it is mainly responsible for the inaccuracy in velocity despite the successful removal of the smoothing effect. In conclusion, our methods can be very useful for pore-scale modeling, since it can create accurate pore structure without the smoothing effect. For accurate velocity estimation, the resolution of pore structure should be at least three times higher than that for permeability simulation.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.37 no.2
• /
• pp.171-177
• /
• 1992

The purpose of this study was to compare the test methods for predicting field emergence of Lotus corniculatus and Trifolium pratense. Four seed lots of two herbage legumes were controlled deteriorated, accelerated aged before germination test and conductivity of each seed lot was determined. Those germination percent and conductivity of seed lots were compared with actual field emergence rate. Field emergence rate could be estimated by the controlled deterioration test ($R^2$=0.687), by the accelerated aging test ($R^2$=0.260), and by the conductivity test ($R^2$=0.238). A multiple regression equation for predicting field emergence rate(equation omitted) was estimated as (equation omitted)=-198.16 ＋ 2.3493X$_1$-1.5564X$_2$ ＋ 1.9812X$_3$where X$_1$, percent germination of controlled deterioration test ; X$_2$, percent germination of accelerated aging test; and X$_3$, conductivity of solute leakage in the conductivity test. Conclusively, unless multiple tests are not available, the controlled deterioration test was comparatively high efficient for predicting field emergence rate, however, the combined measurements of those three tests can enhance the efficiency.

• Journal of the Korean Geotechnical Society
• /
• v.39 no.8
• /
• pp.29-39
• /
• 2023

The degree of saturation determines the connectivity of void space and the particle surface. Thus, it greatly affects the electrical conductivity of soils. This study aimed to analyze the electrical conductivities of coarse grains with a high relevance of pore water conduction and fine grains with a high relevance of surface conduction based on the degree of saturation. It also aimed to express the electrical conductivity of unsaturated soils as a combination of surface and pore water conductions using the modified Archie's equation. Samples were prepared in a plastic cell equipped with four electrodes, and the electrical conductivity was measured based on the porosity at various degrees of saturation (40%~100%). The results demonstrate that Archie's equation can be used to express the electrical conductivity of coarse grains, with a saturation exponent of ~1.93 regardless of the pore water conductivity. However, the saturation exponent of fine grains varied considerably with pore water concentration. This variation can be attributed to the relative magnitude of surface conduction with respect to the electrical conductivity of soils at different pore water concentrations. Thus, the degree of saturation has varying effects on pore water conduction and surface conduction. Therefore, different saturation exponents must be used for pore water conduction and surface conduction to predict the electrical conductivity of unsaturated soils using the modified Archie's equation.

• 한국지구과학회:학술대회논문집
• /
• 2005.09a
• /
• pp.112-123
• /
• 2005

자기지전류 탐사의 적용에 있어 인공잡음의 영향은 탐사의 승패를 좌우하는 중요한 요소이며 인공잡음의 영향을 최소화할 수 있는 탐사의 설계와 자료처리가 요구되고 있다. 본 연구에서는 수치공간자료를 이용한 공간모델링을 통해 MT 주파수 대역에서의 잡음을 예측하고 실제 탐사 자료와 비교분석하여 MT 잡음 모델링을 가능성을 살펴보았다. 수치지도로부터 추출된 잡음원일 가능성이 높은 건물, 도로, 고압 송전선에 의해 발생하는 전자기장의 강도를 지하매질의 전기전도도에 따른 전자기파의 전파 특성을 고려하여 예측하는 잡음모델을 제안하였다. 제안된 잡음모델로부터 예측된 잡음 파워와 실제 탐사를 통해 측정된 MT 자료와의 상관도 분석을 수행한 결과, 전반적으로 전기장에서는 넓은 주파수 대역에서 높은 상관관계를 보이는 반면 자기장은 60 Hz 부근의 대역에서만 상관관계를 가진다. 본 연구에서 제안된 공간모델링을 통한 잡음 예측은 특히 고도로 산업화되어가는 도시 주변지역에서의 MT 탐사를 수행하는데 있어 유용한 정보를 제공할 수 있을 것이다.

• Economic and Environmental Geology
• /
• v.50 no.4
• /
• pp.267-276
• /
• 2017

Seawater intrusion into coastal fractured rock aquifer, resulting in groundwater contamination, is of serious concern in coastal areas of Jeolla Namdo, Korea, which heavily depends on groundwater resources. Time series analysis and forecasting were carried out to analyze and predict EC which is a major indicator of seawater intrusion. Two time series models of autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) were tested for suggesting appropriate time series model. Time series data of EC measured over one year showed a increasing trend with short periodic fluctuations, due to tidal effect and pumping, which indicated that EC time series data tended to be non-stationary. SARIMA model was found better fitted to observed EC than any other time series model. Time series analysis and modeling was found to be a useful tool to analyze EC at coastal fractured rock aquifer subject to seawater intrusion.