Literature DB >> 15575288

Geo-referenced multimedia environmental fate model (G-CIEMS): model formulation and comparison to the generic model and monitoring approaches.

Noriyuki Suzuki1, Kaori Murasawa, Takeo Sakurai, Keisuke Nansai, Keisuke Matsuhashi, Yuichi Moriguchi, Kiyoshi Tanabe, Osami Nakasugi, Masatoshi Morita.   

Abstract

A spatially resolved and geo-referenced dynamic multimedia environmental fate model, G-CIEMS (Grid-Catchment Integrated Environmental Modeling System) was developed on a geographical information system (GIS). The case study for Japan based on the air grid cells of 5 x 5 km resolution and catchments with an average area of 9.3 km2, which corresponds to about 40,000 air grid cells and 38,000 river segments/catchment polygons, were performed for dioxins, benzene, 1,3-butadiene, and di-(2-ethyhexyl)phthalate. The averaged concentration of the model and monitoring output were within a factor of 2-3 for all the media. Outputs from G-CIEMS and the generic model were essentially comparable when identical parameters were employed, whereas the G-CIEMS model gave explicit information of distribution of chemicals in the environment. Exposure-weighted averaged concentrations (EWAC) in air were calculated to estimate the exposure ofthe population, based on the results of generic, G-CIEMS, and monitoring approaches. The G-CIEMS approach showed significantly better agreement with the monitoring-derived EWAC than the generic model approach. Implication for the use of a geo-referenced modeling approach in the risk assessment scheme is discussed as a generic-spatial approach, which can be used to provide more accurate exposure estimation with distribution information, using generally available data sources for a wide range of chemicals.

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Year:  2004        PMID: 15575288     DOI: 10.1021/es049261p

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

Review 1.  Application of multimedia models for understanding the environmental behavior of volatile methylsiloxanes: Fate, transport, and bioaccumulation.

Authors:  Michael J Whelan; Jaeshin Kim
Journal:  Integr Environ Assess Manag       Date:  2021-09-16       Impact factor: 3.084

2.  Validation of AIST-SHANEL Model Based on Spatiotemporally Extensive Monitoring Data of Linear Alkylbenzene Sulfonate in Japan: Toward a Better Strategy on Deriving Predicted Environmental Concentrations.

Authors:  Tohru Nishioka; Yuichi Iwasaki; Yuriko Ishikawa; Masayuki Yamane; Osamu Morita; Hiroshi Honda
Journal:  Integr Environ Assess Manag       Date:  2019-08-09       Impact factor: 2.992

  2 in total

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