• 제목/요약/키워드: 오염물질

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The Value of a Statistical Life and Social Costs of Death due to Nuclear Power Plant Accidents and Energy Policy Implications (원자력발전소 사고 사망의 통계적 생명가치와 사회적 비용 및 에너지정책 시사점)

  • Yong-Joo, Kim
    • Journal of the Korean Society of Radiology
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    • v.17 no.1
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    • pp.79-90
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    • 2023
  • The study is to estimate the social costs of premature deaths due to nuclear power plant(NPP) accidents, by resorting to the contingent valuation method(CVM) which is used to estimate the value of a statistical life(VSL). The VSL estimate is about 3.55 billion won, which is multiplied by some 1.8 million premature deaths due to the accidents in world history of NPP, to get a maximum social cost of 1,952 trillion won. This estimate is equivalent to the 2022 real GDP of Korea. The annual average number of premature deaths and the resulting average social cost is 26,000 and 28 trillion won, respectively. The social cost of premature deaths due not only to accidents, but also the air pollutants from fired power plants(FPP) during 1987~2021 is estimated to be 26,919 trillion won. This is equivalent to 2021 US GDP, and is about 3,000 times higher than that for NPP of 9 trillion won. In 2021, the estimated social costs of FPP and NPP are 1,075 trillion won and 292 billion won, respectively. For South Korea, the study suggests to adapt an energy mix of increased share of electricity production for NPP relative to FPP, given that the 2050 carbon neutrality strategy of Korea is expected to lead to an increased share of renewable energy in electricity production. The study emphasizes accumulating the number of CVM-based VSL studies to ensure efficient energy policies.

A Study on Prediction of PM2.5 Concentration Using DNN (Deep Neural Network를 활용한 초미세먼지 농도 예측에 관한 연구)

  • Choi, Inho;Lee, Wonyoung;Eun, Beomjin;Heo, Jeongsook;Chang, Kwang-Hyeon;Oh, Jongmin
    • Journal of Environmental Impact Assessment
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    • v.31 no.2
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    • pp.83-94
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    • 2022
  • In this study, DNN-based models were learned using air quality determination data for 2017, 2019, and 2020 provided by the National Measurement Network (Air Korea), and this models evaluated using data from 2016 and 2018. Based on Pearson correlation coefficient 0.2, four items (SO2, CO, NO2, PM10) were initially modeled as independent variables. In order to improve the accuracy of prediction, monthly independent modeling was carried out. The error was calculated by RMSE (Root Mean Square Error) method, and the initial model of RMSE was 5.78, which was about 46% betterthan the national moving average modelresult (10.77). In addition, the performance improvement of the independent monthly model was observed in months other than November compared to the initial model. Therefore, this study confirms that DNN modeling was effective in predicting PM2.5 concentrations based on air pollutants concentrations, and that the learning performance of the model could be improved by selecting additional independent variables.

A Study on the Design of Training Contents for LNG Bunkering Workers (LNG 벙커링 종사자 교육 콘텐츠 설계에 관한 연구)

  • Yoo, Hyoung-Soo;Roh, Beom-Seok;Kang, Suk-Yong;Seo, Seong-Min;Jung, Dong-Ho
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.809-818
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    • 2022
  • The number of ships using liquefied natural gas (LNG) as fuel is increasing to respond to the International Maritime Organization's (IMO) air pollutant emission regulations. At the same time, the need to expand LNG bunkering infrastructure for stable fuel supply and demand for ships is emerging. LNG bunkering is carried out in three ways: truck to ship (TTS), pipe to ship (PTS), and ship to ship (STS). In foreign countries, all three methods are being carried out, but in Korea, LNG bunkering is carried out only with the TTS method owing to the lack of infrastructure. LNG bunkering is a high-risk operation. For safe bunkering operations, the competence of the workers is extremely important, and a professional training course is required to strengthen the competence. This study was conducted to design training contents for LNG bunkering workers for fostering LNG bunkering experts and performing safe and systematic bunkering work. To this end, the current status of LNG-fueled ships and bunkering was identified, and related domestic and abroad educational contents were analyzed. In addition, opinions on the importance of educational contents were collected through expert questionnaires. Consequently, we designed training contents suitable for various training targets and divided them into basic and advanced training courses, with a duration of 4 days, and proposed. Based on the designed training contents, if additional research is conducted by sufficiently reflecting Korea's bunkering environment, it will be of great help to improve the competence of LNG bunkering workers and to foster human resources.

Non-Destructive Scientific Analysis of the Gold Fabric Excavated of Cheongsong Shim's Grave (청송심씨 묘에서 출토된 금직물의 비파괴 과학적 분석)

  • Lee, Hwang-Jo;Wi, Koang-Chul
    • Journal of Conservation Science
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    • v.38 no.3
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    • pp.243-253
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    • 2022
  • Using non-destructive analytical methods, we identified the material characteristics of two gold fabric artifacts excavated from the Cheongsong Sim clan (Bugeum Wonsam, Jikgeum Chima), including the artifact condition, fiber type, surface contamination, and metallic threads. We found that the artifacts were buried and had turned brown; thus, we were unable to determine their original color. The fiber type was determined to be silk from cocoons, based on scanning electron microscopy, Fourier transform infrared (FT-IR) analyses of Amide I, II, III, and IV peaks, and color reactions Further, the FT-IR and X-ray fluorescence (XRF) analyses identified the white and black stains as natural resin hydrolyzed substances, such as lipids and proteins, that occurred as microbial decomposition due to body decay. Finally, the XRF analyses identified the thin gold layer of the metallic yarn as gold (Au). According to the FT-IR data and the color reaction to the metallic yarn medium, the adhesive component of the medium was a product of-Amides I, II, III, and 3000 cm-1 within Amides A and B (an animal type), respectively. Thus, the medium was identified as Hanji (Korean paper), which is made from domestically produced Broussonetia kazinoki fibers.

Research Trends on Improvement of Physicochemical Properties of Sulfonated Hydrocarbon Polymer-based Polymer Electrolyte Membranes for Polymer Electrolyte Membrane Fuel Cell Applications (고분자 전해질 막 연료전지 응용을 위한 탄화수소계 고분자 전해질 막의 물성 향상에 관한 연구동향)

  • Inhyeok, Hwang;Davin, Choi;Kihyun, Kim
    • Membrane Journal
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    • v.32 no.6
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    • pp.427-441
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    • 2022
  • Polymer electrolyte membrane (PEM) serving as a separator that can prevent the permeation of unreacted fuels as well as an electrolyte that selectively transports protons from the anode to the cathode has been considered a key component of polymer electrolyte membrane fuel cell (PEMFC). The perfluorinated sulfonic acid-based PEMs, represented by Nafion®, have been commercialized in PEMFC systems due to their high proton conductivity and chemical stability. Nevertheless, these PEMs have several inherent drawbacks including high manufacturing costs by the complex synthetic processes and environmental problems caused by producing the toxic gases. Although numerous studies are underway to address these drawbacks including the development of sulfonated hydrocarbon polymer-based PEMs (SHP-PEMs), which can easily control the polymer structures, further improvement of PEM performances and durability is necessary for practical PEMFC applications. Therefore, this study focused on the various strategies for the development of SHP-PEMs with outstanding performance and durability by 1) introducing cross-linked structures, 2) incorporating organic/inorganic composites, and 3) fabricating reinforced-composite membranes using porous substrates.

MXene Based Composite Membrane for Water Purification and Power Generation: A Review (정수 및 발전을 위한 맥신(MXene) 복합막에 관한 고찰)

  • Seohyun Kim;Rajkumar Patel
    • Membrane Journal
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    • v.33 no.4
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    • pp.181-190
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    • 2023
  • Wastewater purification is one of the most important techniques for controlling environmental pollution and fulfilling the demand for freshwater supply. Various technologies, such as different types of distillations and reverse osmosis processes, need higher energy input. Capacitive deionization (CDI) is an alternative method in which power consumption is deficient and works on the supercapacitor principle. Research is going on to improve the electrode materials to improve the efficiency of the process. A reverse electrodialysis (RED) is the most commonly used desalination technology and osmotic power generator. Among many studies conducted to enhance the efficiency of RED, MXene, as an ion exchange membrane (IEM) and 2D nanofluidic channels in IEM, is rising as a promising way to improve the physical and electrochemical properties of RED. It is used alone and other polymeric materials are mixed with MXene to enhance the performance of the membrane further. The maximum desalination performances of MXene with preconditioning, Ti3C2Tx, Nafion, and hetero-structures were respectively measured, proving the potential of MXene for a promising material in the desalination industry. In terms of osmotic power generating via RED, adopting MXene as asymmetric nanofluidic ion channels in IEM significantly improved the maximum osmotic output power density, most of them surpassing the commercialization benchmark, 5 Wm-2. By connecting the number of unit cells, the output voltage reaches the point where it can directly power the electronic devices without any intermediate aid. The studies around MXene have significantly increased in recent years, yet there is more to be revealed about the application of MXene in the membrane and osmotic power-generating industry. This review discusses the electrodialysis process based on MXene composite membrane.

A Study on the Comparison of Areas Near Gunsan according to the Revision of the National Air Pollutant Emissions (CAPSS) in 2020 (국가대기오염물질 배출량(CAPSS)의 2020년 산정 방법 개정에 따른 군산 인근지역 비교에 관한 연구)

  • Sang-Hun Park;Seong-Cheon Kim
    • Journal of Environmental Health Sciences
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    • v.49 no.4
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    • pp.190-200
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    • 2023
  • Background: Gunsan has been constantly affected by pollutants generated by the Saemangeum development and the construction industry since the completion of the Saemangeum seawall on April 27, 2010. However, there are limitations to its study, such as taking into consideration weather conditions, geographical factors, and foreign inflows. Objectives: In this study, we compared the Existing-CAPSS emissions of Gunsan with Recalculated-CAPSS emissions data to analyze the differences in emissions characteristics by year (2016~2019). Methods: Using Existing data on CAPSS emissions (2016~2019) and Recalculated-CAPSS emissions (2016~2019) for Gunsan, which were Recalculated following the improvement of emissions calculations for 2020, we organized CO, NOX, SOX, PM10, VOCS, and NH3 emissions by substance and investigated the differences and characteristics of the Recalculated emissions by year. Results: For Re-CO and Re-PM10, the emission characteristics of CO were examined as energy industry combustion and PM10 emission characteristics were examined as ship cargo from non-road transportation sources, as ship leisure sources were excluded from non-road transportation source emissions. Conclusions: Comparing the emissions of Existing-CAPSS and Recalculated-CAPSS in Gunsan, the emissions of Recalculated-CAPSS by substance decreased by 39.76% for CO, 9.98% for PM10, 5.53% for VOCS, and 9.24% for NH3, while Re-NOX increased by 2.86% and Re-SOX increased by 1.97%. On the other hand, when comparing the emissions characteristics of Existing-CAPSS and Recalculated-CAPSS in Gunsan, Jeonju, and Iksan, the emission characteristics of Re-NOX, Re-SOX, Re-VOCS and Re-NH3 were similar to those of Ex-NOX, Ex-SOX, Ex-VOCS, and Ex-NH3. As such, Gunsan, Iksan, and Jeonju, showed differences in the comparison of different emission characteristics due to the geographical characteristics of the region (population, area, topography, weather factors) and the characteristics of the industrial complex (metal, petrochemical).

Reduction of Nitrate-Nitrogen by Zero-valent Iron Nanoparticles Deposited on Aluminum yin Electrophoretic Method (전기영동법으로 알루미늄에 침적된 영가 철 나노입자에 의한 질산성 질소의 환원)

  • Ryoo, Won
    • Clean Technology
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    • v.15 no.3
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    • pp.194-201
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    • 2009
  • Reductive reactivity of zero-valent iron nanoparticles was investigated for removal of nitrate-nitrogen which is considered one of the major water pollutants. To elucidate the difference in reactivity between preparation methods, iron nanoparticles were synthesized respectively from microemulsion and aqueous solution of ferric ions. Iron nanoparticles prepared from microemulsion were deposited on aluminum by electrophoretic method, and their reaction kinetics was compared to that of the same nanoparticles suspended in aqueous batch reaction. With an approximation of pseudo-first-order reaction, rate constants for suspended nanoparticles prepared from microemulsion and dilute aqueous solution were $3.49{\times}10^{-2}min^{-1}$ and $1.40{\times}10^{-2}min^{-1}$, respectively. Iron nanoparticles supported on aluminum showed ca. 30% less reaction rate in comparison with the identical nanoparticles in suspended state. However, supported nanoparticles showed the superior effectiveness in terms of nitrate-nitrogen removal per zero-valent iron input especially when excess amounts of nitrates were present. Iron nanoparticles deposited on aluminum maintained reductive reactivity for more than 3 hours, and produced nitrogen gas as a final reduction product of nitrate-nitrogen.

An Analysis of Hydrophobic Characteristics of Concrete Surfaces by Antifouling Coating Agent using Cellulose Nonofiber and Alkyl Ketene Dimer (셀룰로오스 나노 섬유와 AKD를 활용한 방오 코팅제에 의한 콘크리트 표면의 소수 특성 분석)

  • Nag-Seop Jang;Chi-Hoon Noh;Hongseob Oh
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.2
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    • pp.120-129
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    • 2023
  • Marine structures are subject to damage not only from sea salt but also from the adhesion of marine microorganisms and suspended particles, which cause additional damages. In order to prevent this, periodic coating is employed in the case of vessels to maintain the necessary performance. However, it is true that periodic coating is difficult for concrete or steel support structures, and there is a risk of marine environmental pollution. In this study, authors developed an anti-fouling coating agent using eco-friendly materials that possess hydrophilic cellulose nanofibers and AKD(alkyl ketene dimer). To achieve a homogeneous mixture, the content of cellulose nanofibers was fixed at 1 %, and AKD, distilled water, and waste glass were mixed using a digital mixer and homogenizer. The contact angle of the prepared coated surface was observed to be over 130°, indicating sufficient performance even in a water droplet flow test with a 15° slope, suggesting self-cleaning capability. Furthermore, through the analysis of viscosity characteristics at different temperatures, it was confirmed that the application is feasible at room temperature. Microstructure analysis also verified that the coating agent is uniformly applied to the concrete surface.

Analysis of Correlation Between the Number of Cyanobacterias and Water Quality Parameters in Geum River (금강유역의 남조류 세포수와 수질인자 간의 상관관계 분석)

  • Park, Gue Tae;Jang, Dong Woo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.213-213
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    • 2020
  • 최근 나타나는 지구온난화와 이상기후로 인해 가뭄과 홍수피해 같은 자연재해 발생 빈도가 높아졌고, 하천에서는 오염된 수질과 수생태계 복원 및 수변공간 조성, 수자원 관리 등의 목적으로 수질환경 개선사업이 진행되고 있다. 수질환경 측면에서 하천에서 발생하는 가장 큰 문제점으로는 녹조 즉, 남조류의 발생을 예로 들 수 있다. 본 연구에서는 최근 보 개방을 통하여 수질개선 효과가 나타나고 있는 금강을 대상으로 세종보, 공주보, 백제보 구간에 대하여 주요 수질인자에 대한 상관관계 분석을 수행하였다. 특히 남조류 세포수와 주요 하천 수질인자를 Pearson's correlation analysis를 이용하여 상관관계를 분석하였고, 보 위치별 남조류 세포수를 종속변수로 하고, 상관도가 높은 수질인자를 독립변수로 하는 다중회귀식을 도출하여 금강 내 주요 하천 수질인자의 농도에 따른 남조류 세포수 관계를 규명하고자 하였다. 분석기간은 2012년 1월부터 2019년 12월까지 보 건설 이후 시점으로 선정하였고, 월 평균 남조류 개체수가 조류경보제 발령기준 관심단계이상에 해당하는 금강수계의 3개 보에 대하여 남조류 세포수와 수질에 영향을 끼치는 인자인 강수량, (수온)W·T, (수소이온농도)pH, (용존산소)DO, (생물화학적산소요구량)BOD, (화학적산소요구량)COD, (부유물질량)SS, (총질소)TN, (총인)TP, (클로로필-a)Chl-a, (전기전도도)EC, (질산성질소)NO3-N, (암모니아성 질소)NH3-N, (인산염 인)PO4-P, (용존총질소)DTN, (용존총인)DTP, (총유기탄소)TOC 와의 상관관계를 분석하였다. 분석 결과 측정 지점별 남조류 세포수와 상관관계가 있는 인자는 서로 상이했지만 (수온)W·T과 pH의 경우 모든 지점에서 남조류 세포수와 양의 상관관계가 나타났다. 세종보는 W·T(0.383, P<0.01), pH(0.391, P<0.05)의 양의 상관계수를 나타냈고, 공주보에서는 (수온)W·T(0.436, P<0.05), pH(0.412, P<0.05)의 양의 상관관계를 나타냈다. 백제보에서는 (수온)W·T(0.415, P<0.01), pH(0.221, P<0.01)의 양의 상관성을 나타냈다. 남조류 세포수와 수질인자 간의 상관관계 분석에 따라 통계적으로 유의한 인자 중 (수온)W·T과 pH에 영향을 받는 영양염류와 퇴적물에 대한 후속 연구가 필요할 것으로 사료되며, 연구를 통해 제시된 남조류 세포수 다중회귀식은 주요 수질인자 농도에 따라 발생 가능한 남조류세포수를 예측하여 금강의 수질 관리에 활용될 수 있을 것으로 기대된다.

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