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AIST-SHANEL Ver.3.0 for Chemical Exposure Assessment of Any River System in Japan
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- ISHIKAWA Yuriko
- The Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology
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- KAWAGUCHI Tomoya
- Nihon Suido Consultant Co., Ltd.
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- HIGASHINO Haruyuki
- The Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology
Bibliographic Information
- Other Title
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- 国内の任意水系を対象にした化学物質リスク評価のための産総研-水系暴露解析モデル (AIST-SHANEL) Ver.3.0
- コクナイ ノ ニンイ スイケイ オ タイショウ ニ シタ カガク ブッシツ リスク ヒョウカ ノ タメ ノ サン ソウケン-スイケイ バクロ カイセキ モデル(AIST-SHANEL)Ver.3.0
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Description
The model for exposure assessment of chemical substances, “AIST-SHANEL” ver.3.0, has been available released since October 2015. In this version, river basin data was updated from 2005 to 2011 and a new model for estimating chemical concentrations of any river basin in Japan was added. The model includes 109 class A river systems as well as class B river systems, as well as flow routings of any river basin based on a 250 m grid resolution. The model enables the assessment of the upper area of a river basin at an assessment point designated by the user and yields estimates of the daily concentrations in the area. The calculation results can be displayed on Google Earth and ArcGIS Desktop maps. Unsteady analysis of the model will also be useful for the assessment of the impacts of water quality accidents involving the leakage of chemical substances into river systems. In this study, we showed that the model can be applied to exposure assessments not only under normal conditions but also those of accidents. In the case of accidents, the resilience assessment yields estimates of the degree of recovery of the river water quality deteriorated by chemical leakage.
Journal
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- Journal of Japan Society on Water Environment
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Journal of Japan Society on Water Environment 40 (5), 199-208, 2017
Japan Society on Water Environment
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Details 詳細情報について
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- CRID
- 1390001205080343040
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- NII Article ID
- 130006072798
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- NII Book ID
- AN10372439
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- ISSN
- 18813690
- 09168958
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- NDL BIB ID
- 028729336
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed