• Title/Summary/Keyword: Probabilistic environment

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Deriving Ecological Protective Concentration of Cadmium for Korean Soil Environment

  • Lee, Woo-Mi;Nam, Sun-Hwa;An, Youn-Joo
    • Environmental Engineering Research
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    • v.18 no.4
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    • pp.241-246
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    • 2013
  • For effective and efficient environmental management, developed countries, such as the Netherlands, UK, Australia, Canada, and United States apply ecological risk assessment, and they have an autonomous risk assessment methodology to protect native receptors. In this study, soil ecological protective concentration (EPC) of cadmium in Korea was derived using Korean ecological risk assessment methodology. The soil EPC of cadmium was calculated using probabilistic ecological risk assessment based on species sensitivity distribution. The soil EPC was calculated according to land use for residential/agricultural and industrial/commercial purposes. The chronic soil EPCs for residential/agricultural and industrial/commercial lands were derived to be 1.58 and 9.60 mg/kg, respectively. These values were similar to soil EPC of European Commission, the Netherlands, UK, and Canada. However, these values were lower than the established Korean soil standard, because the current soil standard was based on human risk. Therefore, the impact on an ecosystem when establishing environmental standard should be considered.

Clarifying Warhead Separation from the Reentry Vehicle Using a Novel Tracking Algorithm

  • Liu Cheng-Yu;Sung Yu-Ming
    • International Journal of Control, Automation, and Systems
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    • v.4 no.5
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    • pp.529-538
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    • 2006
  • Separating a reentry vehicle into warhead and body is a conventional and efficient means of producing a huge decoy and increasing the kinetic energy of the warhead. This procedure causes the radar to track the body, whose radar cross section is larger, and ignore the warhead, which is the most important part of the reentry vehicle. However, the procedure is difficult to perform using standard tracking criteria. This study presents a novel tracking algorithm by integrating input estimation and modified probabilistic data association filter to solve this difficulty in a clear environment. The proposed algorithm with a new defined association probability in this filter provides a good tracking capability for the warhead ignoring the radar cross section. The simulation results indicate that the errors between the estimated and the warhead trajectories are reduced to a small interval in a short time. Therefore, the radar can produce a beam to illuminate to the right area and keep tracking the warhead all the way. In conclusion, this algorithm is worthy of further study and application.

Efficient Supplier Selection with Uncertainty Using Monte Carlo DEA (몬테카를로 DEA를 이용한 불확실성을 고려한 효율적 공급자 선정)

  • Ha, Chunghun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.1
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    • pp.83-89
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    • 2015
  • Selection of efficient supplier is a very important process as risk or uncertainty of a supply chain and its environment are increasing. Previous deterministic DEA and probabilistic DEAs are very limited to handle various types of risk and uncertainty. In this paper, I propose an improved probabilistic DEA which consists of two steps; Monte Carlo simulation and statistical decision making. The simulation results show that the proposed method is proper to distinguish supplier's performance and provide statistical decision background.

Flexible Maintenance Scheduling of Generation System by Multi-Probabilistic Reliability Criterion in Korea Power System

  • Park, Jeong-Je;Choi, Jae-Seok;Baek, Ung-Ki;Cha, Jun-Min;Lee, Kwang-Y.
    • Journal of Electrical Engineering and Technology
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    • v.5 no.1
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    • pp.8-15
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    • 2010
  • A new technique using a search method which is based on fuzzy multi-criteria function is proposed for GMS(generator maintenance scheduling) in order to consider multi-objective function. Not only minimization of probabilistic production cost but also maximization of system reliability level are considered for fuzzy multi-criteria function. To obtain an optimal solution for generator maintenance scheduling under fuzzy environment, fuzzy multi-criteria relaxation method(fuzzy search method) is used. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system model in Korea in 2010.

Failure Probability Prediction based on probabilistic and stochastic methods in generating units (확률 통계적 기법을 이용한 발전설비 고장확률 예측)

  • Lee, Sung-Hoon;Lee, Seung-Hyuk;Kim, Jin-O;Cha, Seung-Tae;Kim, Tae-Kyun
    • Proceedings of the KIEE Conference
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    • 2004.11b
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    • pp.69-71
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    • 2004
  • This paper presents a method to predict failure probability related to aging. To calculate failure probability, the Weibull distribution is used due to age-related reliability. The Weibull distribution has shape and scale parameters. Each estimated parameter is obtained from Data Analytic Method (Type II Censoring) which is relatively simpler and faster than the traditional calculation ways for estimating parameters. Also, this paper shows the calculation procedures of a probabilistic failure prediction through a stochastic data analysis. Consequently, the proposed methods would be likely to permit that the new deregulated environment forces utilities to reduce overall costs while maintaining an age-related reliability index.

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Signal Synthesis and Feature Extraction for Active Sonar Target Classification (능동소나 표적 인식을 위한 신호합성 및 특징추출)

  • Uh, Y.;Seok, J.W.
    • Journal of Korea Multimedia Society
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    • v.18 no.1
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    • pp.9-16
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    • 2015
  • Various approaches to process active sonar signals are under study, but there are many problems to be considered. The sonar signals are distorted by the underwater environment, and the spatio-temporal and spectral characteristics of active sonar signals change in accordance with the aspect of the target even though they come from the same one. And it has difficulties in collecting actual underwater data. In this paper, we synthesized active target echoes based on ray tracing algorithm using target model having 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to synthesized target echoes to extract feature vector. Recognition experiment was performed using probabilistic neural network classifier.

A Probabilistic Reliability Assessment of KEPCO Future System with Applied HTS-FCL (초전도 한류기를 적용한 한전미래계통의 확률론적 신뢰도 평가)

  • Kwon, Jung-Ji;Lee, Seung-Ryul;Yoon, Jae-Young;Choi, Jae-Seok
    • Progress in Superconductivity and Cryogenics
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    • v.10 no.3
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    • pp.19-22
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    • 2008
  • The power systems should be improved to reduce the number of black-out events occurring throughout the world. Quantitative evaluation of composite power system reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power systems under a deregulated electricity market depends on transmission system reliability management. This paper presents sensitivity analysis of probabilistic reliability indices of Korea power systems with checking application of HTS-FCL.

Verification of the Radiation Shielding Analysis of Shipping Cask Using Deterministic and Probabilistic Methods (결정론적인 방법과 확률론적인 방법을 이용한 수송용기 방사선차폐해석의 비교 및 검증)

  • Yoon, Jeong-Hyoung;Lee, In-Koo;Bang, Kyoung-Sik;Choi, Byoung-Il;Kim, Chong-Kyoung
    • Journal of Radiation Protection and Research
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    • v.21 no.1
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    • pp.17-25
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    • 1996
  • In this study, to set-up the calculation method of radiation shielding of the KSC-4 shipping cask which is being used for spent fuel transportation, the pre-existing two calculation methods, deterministic and probabilistic methods were tested. For the first, the DOT4.2 computer code adopting the deterministic theory was applied for the calculation of effective neutron shielding under assumption of continuous wall thickness of the cask. To verify the first results, the probabilistic theory was used as an alternate calculation. In this case MCNP4A computer code adopting the probabilitic theory was used. And same approximation was obtained from the two different shielding calculations. From the results, it could be confirmed that the design and calculation method used for the radiation shielding of the KSC-4 was adequate and sufficiently safe to meet the design and QA requirements of 10CFR71 Appendix H.

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Human Health Risk Assessment of BTEX from Daesan Petrochemical Industrial Complex (대산 석유화학 산업단지 인근 지역에서의 BTEX 인체 위해성 평가)

  • Lee, Jihyeong;Jang, Yong-Chul;Cheon, Kwangsoo;Kim, Bora
    • Journal of Environmental Impact Assessment
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    • v.31 no.5
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    • pp.321-333
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    • 2022
  • In this study, the concentration and distribution characteristics of BTEX (benzene toluene, ethylbenzene, and xylene) emitted from Daesan Petrochemical Industrial Complex were examined to determine their potential hazards to local residents. Residents living nearby the complex areas may be exposed to the chemicals through various media (air, water, and soil), especially by air. This study evaluated human health risks by inhalation using both deterministic and probabilistic risk assessment approaches. As a result of the deterministic risk assessment, the non-cancer risk was much lower than the regulation limit of hazard index (HI 1.0) for all the points. However, in case of cancer risk evaluation, it was found that the risk of excess cancer for benzene at point A located in the industrial complex was 2.28×10-6, which slightly exceeded the standard regulatory limit of 1.0×10-6. In addition, the probabilistic risk assessment revealed that the percentile exceeding the standard of 1.0×10-6was found to be 45.3%. The sensitivity analysis showed that exposure time (ET) had the greatest impact on the results. Based on the risk assessment study, it implied that ethylbenzene, toluene, and xylene had little adverse effects on potential human exposure, but benzene often exceeded the cancer risk standard (1.0×10-6). Further studies on extensive VOCs monitoring are needed to evaluate the potential risks of industrial complex areas.

Human Health Risk Assessment of Benzene from Industrial Complexes of Chungcheong and Jeonla Province (충청·전라지역 산업단지 주변지역에서의 벤젠 인체 위해성 평가)

  • Jang, Yong-Chul;Lee, Sungwoo;Shin, YongSeung;Kim, Heekap;Lee, Jonghyun
    • Journal of Environmental Impact Assessment
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    • v.20 no.4
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    • pp.497-507
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    • 2011
  • This research studied human health risk assessment of benzene from industrial complexes of Chungcheong Province (Seosan industrial complex) and Jeonla Province (Iksan industrial complex and Yeosoo industrial complex). The residents near the industrial complexes areas can be often exposed to volatile organic compounds (e.g., benzene, toluene, xylenes) through a number of exposure pathways, including inhalation of the organic pollutant via various environmental matrices (air, water and soil), contaminated water, and soil intake. Benzene is well known to be a common carcinogenic and toxic compound that is produced from industrial and oil refinery complexes. In this study, a number of samples from water, air, and soil were taken from the residential settings and public school zones located near the industrial complex sites. Based on the carcinogenic risk assessment, the risk estimates were slightly above $10{\times}10^{-6}$ at all three industrial sites. According to deterministic risk assessment, inhalation was the most important route. The distribution of benzene in the environment would be dependent on vapor pressure, and the physical property influencing the extent of the potential risks. Non-carcinogenic risk assessment of benzene shows that the values of Hazard Index(HI) were much lower than 1.0 at all industrial complexes. Therefore, benzene was not a cause of concern in terms of non-carcinogenic risk posed to the residents near the sites. When compared to probabilistic risk assessment, the CTE(central tendency exposure) cancer risk values of deterministic risk assessment were close to the mean values predicted by the probabilistic risk assessment. The RME(reasonable maximum exposure) values fell within the range of 95% to 99.9% estimated by the probabilistic risk assessment. Since the values of carcinogenic risk assessment were higher than $10{\times}10^{-6}$, further detailed monitoring and refined risk assessment for benzene may be warranted to estimate more reliable and potential inhalation risks to receptors near the industrial complexes.