• Journal of Industrial Technology
• /
• v.16
• /
• pp.39-44
• /
• 1996

The waste basalt might be recycled in concrete, resulting in energy saving and environmental protection. An half Factorial Experiments were performed with the variables of W/C ratio, S/A, Crushed stone/Basalt ratio and Slump as a preliminary study for optimum mix design of concrete. The results show that the W/C ratio is the most important factor to the concrete strength. The substitute of waste basalt up to 100% has little influence, saying that it can substitute the coarse aggregate without damaging the concrete properties.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.19 no.3
• /
• pp.367-386
• /
• 2021

The overestimation and underestimation of the radioactivity concentration of difficult-to-measure radionuclides can occur during the implementation of the scaling factor (SF) method because of the uncertainties associated with sampling, radiochemical analysis, and application of SFs. Strict regulations ensure that the SF method as an indirect method does not underestimate the radioactivity of nuclear wastes; however, there are no clear regulatory guidelines regarding the overestimation. This has been leading to the misuse of the SF methodology by stakeholders such as waste disposal licensees and regulatory bodies. Previous studies have reported instances of overestimation in statistical implementation of the SF methodology. The analysis of the two most popular linear models of the SF methodology showed that severe overestimation may occur and radioactivity concentration data must be dealt with care. Since one major source of overestimation is the use of minimum detectable activity (MDA) values as true activity values, a comparative study of instrumental techniques that could reduce the MDAs was also conducted. Thermal ionization mass spectrometry was recommended as a suitable candidate for the trace level analysis of long-lived beta-emitters such as iodine-129. Additionally, the current status of the United States and Korea was reviewed from the perspective of overestimation.

• Journal of the Korean Society of Safety
• /
• v.32 no.2
• /
• pp.1-6
• /
• 2017

Modern society has been experiencing by population growth and urbanization that bring, a change of eating habits which has occurred a various types of waste in a large amount. Even though these wastes are required an immediate treatment with difficulties unsanitary handling and existing waste treatment method are by incineration, fermentation, drying and etc. however a bad smell occurs after the treatment that need's a lot of energy in processing organic wastes with high moisture contents and wasteful and inefficient problem. The strength assessment of the organic waste agitating vessel is required in terms of safety due to the differences of loading on the shaft that was treated by agitating the mixture of food waste. The damage of agitating axis is depended on steam pressure, temperature condition and the force moment that exerted by the food waste. Thus the strength assessment and stability evaluation are very important, especially to handle a hard waste. In this study the rotation capacity of agitation is about 5 tons considering general structural rolled steel pressure vessel strength and steam pressure. The purpose is to estimate the safety and strength evaluation for a agitator axis and impellers according to the rotating angle of the axis under the condition of the 3.2 ton capacity reactor.

• Research in Community and Public Health Nursing
• /
• v.30 no.2
• /
• pp.174-182
• /
• 2019

Purpose: The purpose of this study is to find out how much influence nursing students' environmental consciousness and knowledge of medical waste have on their attitudes toward medical waste. Methods: The subjects were 211 nursing students recruited from 2 universities. Data were collected with a structured self-report questionnaire comprising measures of environmental consciousness, and knowledge of and attitude toward medical waste. Data analysis was conducted with the SPSS/WIN 25.0 program. Results: A total of 211 copies of the questionnaire were used for the final analysis, except for 9 untrusted responses out of 220 that included missing values. Those subjects' environmental consciousness who received environmental education in middle and high schools was higher (t=3.15, p=.002). The higher their grades, the better their knowledge of medical waste (F=3.40, p=.035). Those subjects' knowledge of medical waste who received medical waste education was relatively high (t=3.14, p=.002). Those subjects with clinical practice experience had more sensitive attitudes toward medical waste (t=2.06, p=.041). Those subjects' attitudes toward Medical waste who received medical waste education at the universities were relatively high (t=2.04, p=.043). The subjects' environmental consciousness was positively correlated with their attitudes toward medical waste (r=.44, p<.001). The most influential factor in their attitudes toward medical waste is their environmental attitudes and medical waste education. Conclusion: The higher the nursing students' environmental consciousness, the higher their attitudes toward medical waste. It is necessary to provide environment and medical waste education for nursing students in order to strengthen their environmental consciousness and attitude toward medical waste.

• Journal of Environmental Policy
• /
• v.2 no.2
• /
• pp.65-79
• /
• 2003

More than 145 million tons of liquid whey is produced world-wide as dairy processing waste per year, and half of it is discarded without proper treatment. Due to its high nutrient value, the environmental impact can be significant. Bioconversion of cheese whey can provide an effective way to reduce the waste and, at the same time, generate economically attractive value-added chemicals. In this study, cheese whey was fermented with P. acidipropionici to produce propionic acid which has a high market value for chemical and pharmaceutical industries. In order to specifically enhance propionic acid production, acetic acid production was suppressed using o-iodosobenzoic acid as an enzyme inhibitor. When grown in the presence of the inhibitor, propionic acid production rate increased by a factor of 2 while acetic acid production rate decreased by a factor of 3. Furthermore, when 0.3 mM of o-iodosobenzoic acid was used, the incipient stage(creeping growth period) was considerably reduced. Therefore, the inhibitor helps the cells begin to grow earlier and speed up the production of propionic acid. Although the production rate of propionic acid effectively increased, the final concentration(or production yield) remained unchanged due to product inhibition. Methods that can reduce product inhibition are being tested combined with o-iodosobenzoic acid to optimize both the production rate and yield. The results are expected to be informative for controlling the other byproducts for other applications.

• Computers and Concrete
• /
• v.19 no.5
• /
• pp.457-465
• /
• 2017

The Taiwanese liquid crystal display (LCD) industry has traditionally produced a huge amount of waste glass that is placed in landfills. Waste glass recycling can reduce the material costs of concrete and promote sustainable environmental protection activities. Concrete is always utilized as structural material; thus, the concrete compressive strength with a variety of mixtures must be studied using predictive models to achieve more precise results. To create an efficient waste LCD glass concrete (WLGC) design proportion, the related studies utilized a multivariable regression analysis to develop a compressive strength waste LCD glass concrete equation. The mix design proportion for waste LCD glass and the compressive strength relationship is complex and nonlinear. This results in a prediction weakness for the multivariable regression model during the initial growing phase of the compressive strength of waste LCD glass concrete. Thus, the R ratio for the predictive multivariable regression model is 0.96. Neural networks (NN) have a superior ability to handle nonlinear relationships between multiple variables by incorporating supervised learning. This study developed a multivariable prediction model for the determination of waste LCD glass concrete compressive strength by analyzing a series of laboratory test results and utilizing a neural network algorithm that was obtained in a related prior study. The current study also trained the prediction model for the compressive strength of waste LCD glass by calculating the effects of several types of factor combinations, such as the different number of input variables and the relevant filter for input variables. These types of factor combinations have been adjusted to enhance the predictive ability based on the training mechanism of the NN and the characteristics of waste LCD glass concrete. The selection priority of the input variable strategy is that evaluating relevance is better than adding dimensions for the NN prediction of the compressive strength of WLGC. The prediction ability of the model is examined using test results from the same data pool. The R ratio was determined to be approximately 0.996. Using the appropriate input variables from neural networks, the model validation results indicated that the model prediction attains greater accuracy than the multivariable regression model during the initial growing phase of compressive strength. Therefore, the neural-based predictive model for compressive strength promotes the application of waste LCD glass concrete.

• Nuclear Engineering and Technology
• /
• v.54 no.7
• /
• pp.2418-2426
• /
• 2022

The grouping analysis is a method guided by the Korea Radioactive Waste Agency for efficient analysis of radioactive waste for disposal. In this study, experiments to verify the adequacy of grouping analysis were conducted with radioactive soil, concrete, and dry active waste in similar environments. First, analysis results of the major radionuclide concentrations in individual waste samples were reviewed to evaluate whether wastes from similar environments correspond to a single waste stream. As a result, the soil and concrete waste were identified as a single waste stream because the distribution range of radionuclide concentrations was "within a factor of 10", the range that meet the criterion of the U.S. Nuclear Regulatory Commission for a single waste stream. On the other hand, the dry active waste was judged to correspond to distinct waste streams. Second, after analyzing the composite samples prepared by grouping the individual samples, the population means of the values of "composite sample analysis results/individual sample analysis results" were estimated at a 95% confidence level. The results showed that all evaluation values for soil and concrete waste were within the set reference values (0.1-10) when five-package and ten-package grouping analyses were conducted, verifying the adequacy of the grouping analysis.

• Journal of Preventive Medicine and Public Health
• /
• v.51 no.4
• /
• pp.196-204
• /
• 2018

Objectives: To determine urinary mercury levels in e-waste workers in Southern Thailand and the airborne mercury levels in the e-waste shops where they worked, to describe the associations between urinary and airborne mercury levels, and to evaluate the prevalence of mercury exposure-related health effects among e-waste workers. Methods: A cross-sectional study was conducted by interviewing 79 workers in 25 e-waste shops who lived in Nakhon Si Thammarat Province, Thailand. Information on general and occupational characteristics, personal protective equipment use, and personal hygiene was collected by questionnaire. Urine samples were collected to determine mercury levels using a cold-vapor atomic absorption spectrometer mercury analyzer. Results: The e-waste workers' urinary mercury levels were $11.60{\mu}5.23{\mu}g/g$ creatinine (range, 2.00 to $26.00{\mu}g/g$ creatinine) and the mean airborne mercury levels were $17.00{\mu}0.50{\mu}g/m^3$ (range, 3.00 to $29.00{\mu}g/m^3$). The urinary and airborne mercury levels were significantly correlated (r=0.552, p<0.001). The prevalence of self-reported symptoms was 46.8% for insomnia, 36.7% for muscle atrophy, 24.1% for weakness, and 20.3% for headaches. Conclusions: Personal hygiene was found to be an important protective factor, and should therefore be stressed in educational programs. Employers should implement engineering measures to reduce urinary mercury levels and the prevalence of associated health symptoms among e-waste workers.

• Nuclear Engineering and Technology
• /
• v.51 no.3
• /
• pp.746-754
• /
• 2019

Vitrification of radioactive liquid waste (RLW) provides a feasible solution for isolating radionuclides from the biosphere for an extended period. In vitrification, base glass and radioactive waste are added simultaneously into the melter. Determination of heat and mass transfer rates is necessary for rational design and sizing of melter. For obtaining an assured product quality, knowledge of reaction kinetics associated with the thermal decomposition of waste constituents is essential. In this study Thermogravimetry (TG) - Differential Thermogravimetry (DTG) of eight kinds of nitrates and two oxides, which are major components of RLW, is investigated in the temperature range of 298-1273 K in the presence of base glasses of five component (5C) and seven component (7C). Studies on thermal behavior of constituents in RLW were carried out at heating rates ranging from 10 to $40\;K\;min^{-1}$ using TG - DTG. Thermal behavior and related kinetic parameters of waste constituents, in the presence of 5C and 7C base glass compositions were also investigated. The activation energy, pre-exponential factor and order of the reaction for the thermal decomposition of 24% waste oxide loaded glasses were estimated using Kissinger method.

• Journal of Soil and Groundwater Environment
• /
• v.17 no.1
• /
• pp.1-7
• /
• 2012

Selection of appropriate liner type would be the most important factor to prevent groundwater contamination by leachate from waste management site. This report introduces the IWEM (Industrial Waste Management Evaluation Model) developed by US EPA to evaluate the potential pollution of groundwater under the waste management unit and to suggest an appropriate type of liner, and provides with the results of IWEM application to a coal-ash landfill site in Korea as a case study. IWEM uses a standard method using a database, a decision-making process based on site characteristics, and the user-friendly input-and-output system. Authors evaluate this model to be applicable in Korea provided that the database is replaced into local data.