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5B a - RA/ Ranking and Chemical Specific (TUP/198) Spatially Resolved Multimedia Environmental Fate Model on GIS−base Risk Assessment System−Case Study results. Suzuki, Noriyuki1, Murasawa, Kaori1, Sakurai, Takeo1, Keisuke, Matsuhashi1, Yuichi, Moriguchi1, Tanabe, Kiyoshi1, Nakasugi, Osami1, Morita, Masatoshi1, 1 National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan ABSTRACT- A spatially resolved multimedia environmental fate model was developed on the GIS (Geographical Information System)−based risk assessment framework system (Virtual World system). The Virtual World system is a comprehensive framework for the risk assessment and management of contaminants on GIS. The system is now being developed based on the several to tenth of basic data structure for the relevant databases in the system to enable the transformation among databases with different data structures. The spatially resolved multimedia fate model (G−CIEMS, Grid−Catchment Integrated Modeling System) is a fugacity−based multimedia fate model of Level IV formulation, which is a combination of geo-referenced river model and multimedia fate model. The model was developed sharing the basic data structure with the Virtual World system as a development basis. Case study for dioxins and selected compounds in Japanese geo−referenced dataset was performed. Part of dioxin emission data were generated from city/prefecture-based statistics and chemical specific emission factors by using the data transformation function of the Virtual World system, however, emission data for other chemicals were developed mainly based on the PRTR point source emissions. Dynamic simulation starting from 1960 to recent years were performed for dioxins, because the compound did not reach steady state within several tenth years. Pseud steady state calculation could be done for compounds with shorter residence times within several years. Model validation against monitoring data was performed for dioxins, which shows the general agreement within a factor of 2−3 for all media. Geographical distribution generally could be well described by the model. Key words: Fugacity model, Multimedia Model, River catchment, Dioxin |
