Literature DB >> 16282796

The "AQUASCOPE" simplified model for predicting 89,90Sr, 131I, and 134,137Cs in surface waters after a large-scale radioactive fallout.

J T Smith1, N V Belova, A A Bulgakov, R N J Comans, A V Konoplev, A V Kudelsky, M J Madruga, O V Voitsekhovitch, G Zibold.   

Abstract

Simplified dynamic models have been developed for predicting the concentrations of radiocesium, radiostrontium, and I in surface waters and freshwater fish following a large-scale radioactive fallout. The models are intended to give averaged estimates for radionuclides in water bodies and in fish for all times after a radioactive fallout event. The models are parameterized using empirical data collected for many lakes and rivers in Belarus, Russia, Ukraine, UK, Finland, Italy, The Netherlands, and Germany. These measurements span a long time period after fallout from atmospheric nuclear weapons testing and following the Chernobyl accident. The models thus developed were tested against independent measurements from the Kiev Reservoir and Chernobyl Cooling Pond (Ukraine) and the Sozh River (Belarus) after the Chernobyl accident, from Lake Uruskul (Russia), following the Kyshtym accident in 1957, and from Haweswater Reservoir (UK), following atmospheric nuclear weapons testing. The AQUASCOPE models (implemented in EXCEL spreadsheets) and model documentation are available free of charge from the corresponding author.

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Year:  2005        PMID: 16282796     DOI: 10.1097/01.hp.0000176797.66673.b7

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  2 in total

1.  Long-term prediction of [Formula: see text]Cs in Lake Onuma on Mt. Akagi after the Fukushima accident using fractional diffusion model.

Authors:  Eiichi Suetomi; Yuko Hatano; Masakiyo Fujita; Yukiko Okada; Kyuma Suzuki; Shun Watanabe
Journal:  Sci Rep       Date:  2021-10-13       Impact factor: 4.379

2.  Initial flux of sediment-associated radiocesium to the ocean from the largest river impacted by Fukushima Daiichi Nuclear Power Plant.

Authors:  Yosuke Yamashiki; Yuichi Onda; Hugh G Smith; William H Blake; Taeko Wakahara; Yasuhito Igarashi; Yuki Matsuura; Kazuya Yoshimura
Journal:  Sci Rep       Date:  2014-01-16       Impact factor: 4.379

  2 in total

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