@article{oai:repo.qst.go.jp:00047456,
 author = {Yajima, Kazuaki and Kurihara, Osamu and Ohmachi, Yasushi and Takada, Masashi and Omori, Yasutaka and Akahane, Keiichi and Eunjoo, Kim and Torikoshi, Masami and Yonehara, Hidenori and Yoshida, Satoshi and Sakai, Kazuo and Akashi, Makoto and 矢島 千秋 and 栗原 治 and 大町 康 and 高田 真志 and 大森 康孝 and 赤羽 恵一 and 金 ウンジュ and 取越 正己 and 米原 英典 and 吉田 聡 and 酒井 一夫 and 明石 真言},
 issue = {2},
 journal = {Health Physics},
 month = {Aug},
 note = {To contribute to the reconstruction and revitalization of Fukushima Prefecture following the 2011 nuclear power disaster, annual individual doses were estimated for evacuees who will re- turn home to Tamura City, Kawauchi Village, and Iitate Village in Fukushima. Ambient external dose rates and individual doses obtained with personal dosimeters were measured at many residen- tial and occupational sites throughout the study areas to obtain fun- damental data needed for the estimation. The measurement results indicated that the ratio of individual dose based on a personal dosimeter to the ambient external dose measurement was 0.7 with 10% uncertainty. Multiplying the ambient external dose by 0.7 may be an appropriate measure of the effective dose to an individ- ual in the investigated area. Annual individual doses were estimated for representative lifestyles and occupations based on the ambi- ent external dose rates at the measurement sites, taking into ac- count the relationship between the ambient external dose and
individual dose. The results were as follows: 0.6–2.3 mSv y−1
in Tamura, 1.1–5.5 mSv y−1 in Kawauchi, and 3.8–17 mSv y−1 in Iitate. For all areas investigated, the estimated dose to out- door workers was higher than that to indoor workers. Identifying ways to reduce the amount of time that an outdoor worker spends outdoors would provide an effective measure to reduce dose.},
 pages = {122--133},
 title = {Estimating annual individual doses for evacuees returning home to areas affected by the Fukushima nuclear accident},
 volume = {109},
 year = {2015}
}