• 제목/요약/키워드: Pollution Error

검색결과 138건 처리시간 0.02초

오염할당부하량의 초과현황 및 초과해소를 위한 삭감계획 유형에 따른 페널티 적용방안 (Excessive State of Pollutant Load Allocation and Penalty Application Schemes based on Pollutant Reduction Plan Types for Solving Excessive Problem of Allocation)

  • 박재홍;박배경;오승영;황하선;이재관
    • 한국물환경학회지
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    • 제29권1호
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    • pp.66-73
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    • 2013
  • Total Maximum Daily Loads (TMDLs) system was introduced to manage pollution load of watershed and to improve water quality of unit watershed so that it is possible to protect dringking water soureces. Load allocation observation is the most important factor in TMDLs system. Because if load allocation is not observed, it is difficult to achieve water quality goal of unit watershed. Also it is impossible to improve water quality of the drinking water sources. Therefore it is necessary to apply some kind of sanctions (penalty) in case of excess of load allocation. The sanctions have to be, however, applied differently based on various reduction plan types, i.e., using the reduction load planed in 2nd phase, delay the completion, additional reduction in 2nd phase, error of the pollution sources, etc. Moreover, the penalty load should be properly imposed, lest it should be overburden the provence. The reduction load trade inter province must be restrictively permmitted only the same unit watershed.

Modification of DC Flashover Voltage at High Altitude on the Basis of Molecular Gas Dynamics

  • Liu, Dong-Ming;Guo, Fu-Sheng;Sima, Wen-Xia
    • Journal of Electrical Engineering and Technology
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    • 제10권2호
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    • pp.625-633
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    • 2015
  • The effect of altitude on thermal conduction, surface temperature, and thermal radiation of partial arc was investigated on the basis of molecular gas dynamics to facilitate a deep understanding of the pollution surface discharge mechanism. The DC flashover model was consequently modified at high altitude. The validity of the modified DC flashover model proposed in this paper was proven through a comparison with the results of high-altitude simulation experiments and earlier models. Moreover, the modified model was found to be better than the earlier modified models in terms of forecasting the flashover voltage. Findings indicated that both the thermal conduction coefficient and the surface thermodynamics temperature of partial arc had a linear decrease tendency with the altitude increasing from 0 m to 3000 m, both of which dropped by approximately 30% and 3.6%, respectively. Meanwhile, the heat conduction and the heat radiation of partial arc both had a similar linear decrease of approximately 15%. The maximum error of DC pollution flashover voltage between the calculation value according to the modified model and the experimental value was within 6.6%, and the pollution flashover voltage exhibited a parabola downtrend with increasing of pollution.

시화호.인천연안 환경자료의 오차범위 분석 (Error Bounds Analysis of the Environmental Data in Lake Shihwa and Incheon Coastal Zone)

  • 조홍연
    • Ocean and Polar Research
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    • 제30권2호
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    • pp.149-158
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    • 2008
  • The characteristic analysis of the estimated population parameters, i.e., standard deviation and error bound of coastal pollutant concentrations (hereafter PC, i.e., COD, TN, and TP concentrations), was carried out by using environmental data with different sampling frequency in Lake Shihwa and Incheon coastal zone. The results clearly show that standard deviation of the PC increases as its mean value increases. The error bounds of the annual mean values based on seasonally measured DO concentrations and PC data in Incheon coastal zone were estimated as ranges 2.26 mg/l, $0.68{\sim}0.86\;mg/l$, $0.62{\sim}0.80\;mg/l$, and $0.074{\sim}0.082\;mg/l$, respectively. In terms of annual mean of the DO concentration and PC in Lake Shihwa, the error bounds based on monthly measured data from 1997 to 2003 were also estimated as ranges 4.0 mg/l, 3.0 mg/l, $0.5{\sim}1.0\;mg/l$, and 0.05 mg/l, respectively. The error bound on the basis of real-time monitoring data is $7{\sim}13%$ only as compared to that of monthly measured data.

Human Error Analysis Technique and Its Application to Marine Accidents

  • Na, Seong;Kim, Hong-Tae;Kim, Hye-Jin;Ha, Wook-Hyun
    • 한국항해항만학회지
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    • 제34권2호
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    • pp.145-152
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    • 2010
  • The management of safety at sea is based on a set of internationally accepted regulations and codes, governing or guiding the design and operation of ships. The regulations most directly concerned with human safety and protection of the environment are, in general, agreed internationally through the International Maritime Organization(IMO). IMO has continuously dealt with safety problems and, recognized that the human element is a key factor in both safety and pollution prevention issues(IMO, 2010). This paper proposes a human error analysis methodology which is based on the human error taxonomy and theories (SHELL model, GEMS model and etc.) that were discussed in the IMO guidelines for the investigation of human factors in marine casualties and incidents. In this paper, a cognitive process model, a human error analysis technique and a marine accident causal chains focused on human factors are discussed, and towing vessel collision accidents are analyzed as a case study in order to examine the applicability of the human error analysis technique to marine accidents. Also human errors related to those towing vessel collision accidents and their underlying factors are discussed in detail.

수원시 기온의 통계적 모형 연구 (Analysis of statistical models on temperature at the Suwon city in Korea)

  • 이훈자
    • Journal of the Korean Data and Information Science Society
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    • 제26권6호
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    • pp.1409-1416
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    • 2015
  • 기온의 변화는 인간의 건강뿐 아니라 동식물의 성장, 경제, 사회, 산업, 문화 등의 전 분야에 영향을 준다. 본 연구에서는 수원시 2003년-2012년 기온을 기상자료, 온실가스자료, 대기자료를 이용하여 자기회귀오차 (autoregressive error)모형으로 월별로 분석하였다. 기온을 위한 기상자료로는, 풍속, 강수량, 일사량, 운량, 습도를 사용했고, 온실가스자료는 이산화탄소 ($CO_2$), 메탄 ($CH_4$), 아산화질소 ($N_2O$), 염화불화탄소 ($CFC_{11}$), 대기자료는 미세먼지 ($PM_{10}$), 이산화황 ($SO_2$), 이산화질 소 ($NO_2$), 오존 ($O_3$), 일산화탄소 (CO)을 사용하였다. 기온을 월별 분석한 결과 기상변수로는 일사량, 운량, 풍속이 영향을 많이 주는 것으로 분석되었다. 특히 일사량은 봄, 여름, 가을에 영향을 많이 주고 풍속은 겨울에 영향을 많이 주는 것으로 나타났다. 온실가스변수로는 염화불화탄소와 메탄이 기온에 영향을 많이 주고 대기변수로는 오존이 영향을 많이 주는 것으로 타났다. 자기회귀오차모형으로 월별 기온을 43%~69% 정도 설명할 수 있다.

경기도 파주시 오존농도의 통계모형 연구 (Analysis of statistical models for ozone concentrations at the Paju city in Korea)

  • 이훈자
    • Journal of the Korean Data and Information Science Society
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    • 제20권6호
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    • pp.1085-1092
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    • 2009
  • 지표오존 농도는 국가의 중요한 환경 척도 중의 하나이다. 본 연구에서는 경기도 파주시 오존농도를 자기회귀오차모형과 신경망모형으로 분석하였다. 오존 분석을 위한 설명변수로는 이산화황, 이산화질소, 일산화탄소, 프로메툼10 등의 대기자료와 일 최고온도, 풍속, 상대습도, 강수량, 이슬점온도, 운량, 수증기압 등의 기상자료를 사용하였다. 분석 결과 전반적으로 신경망모형이 좋은 모형으로 나타났고, 자기회귀오차모형도 오존에 영향을 주는 설명변수를 첨가하면 좋은 모형이 될 것으로 생각된다.

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인적오류 관리를 위한 수행영향인자 분류에 관한 연구 (The study of Taxonomy of Performance Shaping Factors for Human Error Management)

  • 정경희;조재립
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2010년도 춘계학술대회
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    • pp.157-160
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    • 2010
  • Almost all companies have paid much attention to the safety management ranging from maintenance to operation even at the stage of designing in order to prevent accidents, but fatal accidents continue to increase throughout the world. In particular, it is essential to systematically prevent such fatal accidents sa fire, explosion or leakage of toxic gas at factories in order to not only protect economic losses and environmental pollution. In addition, HRA may be used to detect the human errors which may cause accidents or trace back to any mistake on the part of workers. This work focuses on the coincidence of human error and mechanical failure for management of human error, and on some important performance shaping factors to propose a method for improving safety effectively of the process industries.

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생태계모델을 이용한 가막만 해역의 환경용량 산정 (The Estimation of Environmental Capacity in the Gamak Bay Using an Eco-hydrodynamic Model)

  • 강훈;김종구
    • 한국환경과학회지
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    • 제15권10호
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    • pp.951-960
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    • 2006
  • The eco-hydrodynamic model was used to estimate the environmental capacity in Gamak Bay. It is composed of the three-dimensional hydrodynamic model for the simulation of water flow and ecosystem model for the simulation of phytoplankton. As the results of three-dimensional hydrodynamic simulation, the computed tidal currents are toward the inner part of bay through Yeosu Harbor and the southern mouth of the bay during the flood tide, and being in the opposite direction during the ebb tide. The computed residual currents were dominated southward flow at Yeosu Harbor and sea flow at mouth of bay, The comparison between the simulated and observed tidal ellipses at three station showed fairly good agreement. The distributions of COD in the Gamak bay were simulated and reproduced by an ecosystem model. The simulated results of COD were fairly good coincided with the observed values within relative error of 1.93%, correlation coefficient(r) of 0.88. In order to estimate the environmental capacity in Gamak bay, the simulations were performed by controlling quantitatively the pollution loads with an ecosystem model. In case the pollution loads including streams become 10 times as high as the present loads, the results showed the concentration of COD to be $1.33{\sim}4.74mg/{\ell}(mean\;2.28mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality In case the pollution loads including streams become 30 times as high as the present loads, the results showed the concentration of COD to be $1.38{\sim}7.87mg/{\ell}(mean\;2.97mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality. In case the pollution loads including streams become 50 times as high as the present loads, the results showed the concentration of COD to be $1.44{\sim}9.80mg/{\ell}(mean\;3.56mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality.

The role of nuclear energy in the correction of environmental pollution: Evidence from Pakistan

  • Mahmood, Nasir;Danish, Danish;Wang, Zhaohua;Zhang, Bin
    • Nuclear Engineering and Technology
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    • 제52권6호
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    • pp.1327-1333
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    • 2020
  • The global warming phenomenon emerges from the issue of climate change, which attracts the attention of intellectuals towards clean energy sources from dirty energy sources. Among clean sources, nuclear energy is getting immense attention among policymakers. However, the role of nuclear energy in pollution emissions reduction has remained inconclusive and demand for further investigation. Therefore, the current study contributes to extend knowledge by investigating the nexus between nuclear energy, economic growth, and CO2 emissions in a developing country context such as Pakistan for the period between 1973 and 2017. The auto-regressive distributive lag model summarizes the nuclear energy has negative effect on environmental pollution as it releases carbon emission in the environment. Moreover, vector error correction Granger causality provides evidence for bidirectional causality between nuclear energy and carbon emissions. These interesting findings provide new insight, and policy guidelines provided based on these results.