• 제목/요약/키워드: Gaussian dispersion deposition model

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Influence of Major Urban Construction on Atmospheric Particulates and Emission Reduction Measures

  • Wang, Shunyi;Zhou, Ping;Lin, Limin;Liu, Chuankun;Huang, Tao
    • Asian Journal of Atmospheric Environment
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    • 제12권3호
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    • pp.215-231
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    • 2018
  • In order to understand the variation of air quality and the concentration of atmospheric particulates in Chengdu Second Ring Road renovation project, this paper starts to investigate the surrounding residents' opinions on the influenced environment and their daily lives via questionnaires. Then the study numerically simulates the change rule of atmospheric particulates in terms of time and space by using the Gaussian dispersion-deposition model and the compartment model. The optimized scientific scheme is selected by the improved fuzzy analytical hierarchy process(FAHP) to help decision making for the future urban reconstructions. Finally, the reduced emissions of atmospheric particulates are measured when the improvement scheme is provided. According to the study, it can be concluded that the concentration of atmospheric particulates increases rapidly in central Chengdu city during the renovation project, which results in worsening air quality in Chengdu during March 2012 to March 2013. Taking related measures on energy saving and emission reduction can effectively reduce the concentration of atmospheric particulates and promote economic, environmental and social coordination.

Characteristics of regional scale atmospheric dispersion around Ki-Jang research reactor using the Lagrangian Gaussian puff dispersion model

  • Choi, Geun-Sik;Lim, Jong-Myoung;Lim, Kyo-Sun Sunny;Kim, Ki-Hyun;Lee, Jin-Hong
    • Nuclear Engineering and Technology
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    • 제50권1호
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    • pp.68-79
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    • 2018
  • The Ki-Jang research reactor (KJRR), a new research reactor in Korea, is being planned to fulfill multiple purposes. In this study, as an assessment of the environmental radiological impact, we characterized the atmospheric dispersion and deposition of radioactive materials released by an unexpected incident at KJRR using the weather research and forecasting-mesoscale model interface program-California Puff (WRF-MMIF-CALPUFF) model system. Based on the reproduced three-dimensional gridded meteorological data obtained during a 1-year period using WRF, the overall meteorological data predicted by WRF were in agreement with the observed data, while the predicted wind speed data were slightly overestimated at all stations. Based on the CALPUFF simulation of atmospheric dispersion (${\chi}/Q$) and deposition (D/Q) factors, relatively heavier contamination in the vicinity of KJRR was observed, and the prevailing land breeze wind in the study area resulted in relatively higher concentration and deposition in the off-shore area sectors. We also compared the dispersion characteristics between the PAVAN (atmospheric dispersion of radioactive release from nuclear power plants) and CALPUFF models. Finally, the meteorological conditions and possibility of high doses of radiation for relatively higher hourly ${\chi}/Q$ cases were examined at specific discrete receptors.

통계적 방법을 이용한 방사성 물질의 대기 확산 평가 (A Study on the Diffusion of Gaseous Radioactive Effluents Based on the Statistical Method)

  • 나만균;이경진
    • Journal of Radiation Protection and Research
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    • 제23권4호
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    • pp.251-257
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    • 1998
  • 국내 원전에 적용하기 위한 기체 방사성 물질 확산 및 피폭 평가 코드를 개발하였다. 정상 운전에 의한 기체 방사성 물질 확산 및 피폭 평가에는 직선 궤도 가우시안 플륨 모델을 사용하는 XOQDOQ 코드가 사용되어 왔다. 본 연구에서는 이 코드의 단점인 발전소 주변 지역에서의 바람 방향의 영향, 산악 지형에 대한 모델, 습식 침적에 대한 개선이 이루어졌다. 현실적인 유효 고도 보정 및 산악 침투 모델을 통해서 산악 지형에 대한 고려를 하였고, 바람 발생 확률 빈도를 수정하여 직선 궤도 모델을 보완하였다. 개발된 코드는 영광원전의 주민피폭선량평가를 위해 채택되었으며, 산악이 많은 우리 나라 다른 발전소에 적용하기 위해 산악지형 입력변경을 통하여 적절히 사용될 수 있을 것이다.

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Prediction of radioactivity releases for a Long-Term Station Blackout event in the VVER-1200 nuclear reactor of Bangladesh

  • Shafiqul Islam Faisal ;Md Shafiqul Islam;Md Abdul Malek Soner
    • Nuclear Engineering and Technology
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    • 제55권2호
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    • pp.696-706
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    • 2023
  • Consequences of an anticipated Beyond Design Basis Accident (BDBA) Long-Term Station Blackout (LTSBO) event with complete loss of grid power in the VVER-1200 reactor of Rooppur Nuclear Power Plant (NPP) of Unit-1 are assessed using the RASCAL 4.3 code. This study estimated the released radionuclides, received public radiological dose, and ground surface concentration considering 3 accident scenarios of International Nuclear and Radiological Event Scale (INES) level 7 and two meteorological conditions. Atmospheric transport, dispersion, and deposition processes of released radionuclides are simulated using a straight-line trajectory Gaussian plume model for short distances and a Gaussian puff model for long distances. Total Effective Dose Equivalent (TEDE) to the public within 40 km and radionuclides contribution for three-dose pathways of inhalation, cloudshine, and groundshine owing to airborne releases are evaluated considering with and without passive safety Emergency Core Cooling System (ECCS) in dry (winter) and wet (monsoon) seasons. Source term and their release rates are varied with the functional duration of passive safety ECCS. In three accident scenarios, the TEDE of 10 mSv and above are confined to 8 km and 2 km for the wet and dry seasons, respectively in the downwind direction. The groundshine dose is the most dominating in the wet season while the inhalation dose is in the dry season. Total received doses and surface concentration in the wet season near the plant are higher than those in the dry season due to the deposition effect of rain on the radioactive substances.