Name: OGURA Isamu

Doctoral: Doctor of Engineering

Research Subjects:

1. Prediction of environmental fate for persistent organic pollutants.
Exchange and partitioning between two media.
Key parameters characterizing environmental fate.
Influence of environmental conditions such as temperature.

2. Source identification and emission estimations for persistent organic pollutants.
Emission inventory investigation
Estimation of the contributions of sources by using multivariate analyses (receptor models)
Estimation of sources based on environmental fate of target chemicals

3. Risk assessment for dioxin-like PCBs

Research fields:

Persistent organic pollutants (POPs), PCB (Polychlorinated biphenyls), Dioxins, Environmental fate model, Source identification, Environmental forensics, Risk assessment

Research papers:

    1. Ogura, I., Masunaga, S. and Nakanishi, J.: Atmospheric deposition of polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans and dioxin-like polychlorinated biphenyls in the Kanto Region, Japan, Chemosphere 44, 1473-1487, 2001.
    2. Ogura, I., Masunaga, S. and Nakanishi, J.: Congener-Specific Characterization of PCDDs/PCDFs in Atmospheric Deposition: Comparison of Profiles between Deposition, Source and Environmental Sink, Chemosphere 45, 173-183, 2001.
    3. Ogura, I., Masunaga, S. and Nakanishi, J.: Analysis of atmospheric behavior of PCDDs/PCDFs by a one-compartment box model. Chemosphere 53, 399-412, 2003. 
    4. Ogura, I., Masunaga, S., Nakanishi, J.: Quantitative source identification of dioxin-like PCBs in Yokohama, Japan, by temperature dependence of their atmospheric concentrations. Environmental Science & Technology 38, 3279-3285, 2004.
    5. Ogura, I.: Half-life of each dioxin and PCB congener in the human body. Organohalogen Compounds 66, 3376-3384, 2004.
    6. Ogura, I., Gamo, M., Masunaga, S. and Nakanishi, J.: Quantitative identification of sources of dioxin-like polychlorinated biphenyls in sediments by a factor analysis model and a chemical mass balance model combined with Monte Carlo techniques. Environmental Toxicology and Chemistry 24 (2), 277-285, 2005. 

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