• 제목/요약/키워드: Aquatic wasp

검색결과 2건 처리시간 0.03초

한국산 물벌속(벌목: 맵시벌과: 물벌아과)의 미기록 1종 보고 (Discovery of an Aquatic Wasp, Agriotypus silvestris Konishi & Aoyagi (Hymenoptera: Ichneumonidae: Agriotypinae) in South Korea)

  • 김창준;오승환;서경인
    • 한국응용곤충학회지
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    • 제57권4호
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    • pp.275-278
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    • 2018
  • 한국산 맵시벌과의 미기록종인 뭉툭물벌(Agriotypus silvestris Konishi & Aoyagi, 1994) (신칭)의 국내분포를 처음으로 보고한다. 뭉툭물벌의 식별형질의 기재와 주요형질에 대한 사진과 함께 한국산 물벌속의 검색표를 제시한다.

MODELING LONG-TERM PAH ATTENUATION IN ESTUARINE SEDIMENT, CASE STUDY: ELIZABETH RIVER, VA

  • WANG P.F;CHOI WOO-HEE;LEATHER JIM;KIRTAY VIKKI
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2005년도 학술발표회(2)
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    • pp.1189-1192
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    • 2005
  • Due to their slow degradation properties, hydrophobic organic contaminants in estuarine sediment have been a concern for risks to human health and aquatic organisms. Studies of fate and transport of these contaminants in estuaries are further complicated by the fact that hydrodynamics and sediment transport processes in these regions are complex, involving processes with various temporal and spatial scales. In order to simulate and quantify long-term attenuation of Polycyclic Aromatic Hydrocarbons (PAH) in the Elizabeth River, VA, we develop a modeling approach, which employs the U.S. Environmental Protection Agency's water quality model, WASP, and encompasses key physical and chemical processes that govern long-term fate and transport of PAHs in the river. In this box-model configuration, freshwater inflows mix with ocean saline water and tidally averaged dispersion coefficients are obtained by calibration using measured salinity data. Sediment core field data is used to estimate the net deposition/erosion rate, treating only either the gross resuspension or deposition rate as the calibration parameter. Once calibrated, the model simulates fate and transport PAHs following the loading input to the river in 1967, nearly 4 decades ago. Sediment PAH concentrations are simulated over 1967-2022 and model results for Year 2002 are compared with field data measured at various locations of the river during that year. Sediment concentrations for Year 2012 and 2022 are also projected for various remedial actions. Since all the model parameters are based on empirical field data, model predictions should reflect responses based on the assumptions that have been governing the fate and sediment transport for the past decades.

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