Operational Optimization at Screening Points During a Nuclear Disaster
Hengyang Li(1*), Kyoko Oba(2), Muneyoshi Numada(3)
(1) Energy Engineering, Nagaoka University of Technology, Nagaoka, Japan
(2) Nagaoka University of Technology, Japan
(3) Institute of Industrial Science (IIS), the University of Tokyo, Japan
(*) Corresponding Author
Abstract
In nuclear disaster scenarios, residents near affected areas may need to evacuate as the situation escalates. During the initial phase of evacuation in the Fukushima Daiichi Nuclear Power Plant accident following the Great East Japan Earthquake, approximately 20% of evacuees from restricted zones failed to undergo mandatory radiation screening. Niigata Prefecture, Japan, has established a manual for screening point management. However, the framework lacks a systematic examination of multifactorial variables affecting implementation under diverse nuclear disaster scenarios. To protect the public from exposure to radioactive substances released during a nuclear disaster, this study investigates the operational optimization of screening points through stay time modeling. For the considered evacuation scenario, simulations on the effects of the number of evacuees and the number of lanes installed (i.e., inspection capacity) are conducted. The results demonstrate a significant stay time reduction. The optimization criteria for the simulation are presented and the optimal number of lanes for mitigating radiation exposure risk is determined. This modeling approach provides quantitative evidence for optimizing screening point operations, which is particularly crucial during early-phase evacuations when radiation levels peak. The findings contribute to emergency response planning by establishing a framework for balancing evacuation efficiency with thorough radiation screening requirements.
Received: 2024-05-24 Revised: 2025-02-25 Accepted: 2025-04-03 Published: 2025-05-26
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Japan NRA. (2013). 8th Nuclear Emergency Preparedness Study Team <Reference Materials> (d): Establishment of criteria for determining the implementation of protective measures (OIL: Operational Intervention Level) in the revision of the Nuclear Emergency Preparedness Guidelines in February 2013. Way of thinking.
Japan NRA. (2018). About comprehensive criteria (GC) and operational intervention levels (OIL).
Japan NRA. (2021). NRA Guide for Emergency Preparedness and Response.
Japanese Government. Act on Special Measures Concerning Nuclear Emergency Preparedness. , (1999).
Kobayashi, T., & Moriguchi, S. (2018). IT Project Scheduling Based on a Multi-objective Genetic Algorithm. Information Processing Society of Japan. Information Processing Society of Japan. Transactions on Mathematical Modeling and Its Applications, 11(3), 42–57.
Malešič, M., Prezelj, I., Juvan, J., Polič, M., & Uhan, S. (2015). Evacuation in the event of a nuclear disaster: Planned activity or improvisation? International Journal of Disaster Risk Reduction, 12, 102–111. https://doi.org/10.1016/j.ijdrr.2014.12.005
Nagaoka City. (2015). The refuge project which prepared for Nagaoka City nuclear-power disaster. Retrieved from https://www.city.nagaoka.niigata.jp/shisei/cate01/nuclear-safety/file/hinan_20151215-01.pdf
Nagaoka City. (2022). Nagaoka city population. Retrieved from https://www.city.nagaoka.niigata.jp/syoukai/jinkou/jinkou.html
Niigata Prefecture. (2018). Niigata Prefecture Wide-Area Evacuation Action Guidelines for Nuclear Disasters.
Niigata Prefecture. (2019a). Niigata Prefecture Local Disaster Management Plan (Nuclear Disaster Countermeasures Edition: Materials Edition).
Niigata Prefecture. (2019b). Niigata Prefecture Nuclear Disaster Wide Area Evacuation Plan.
Niigata Prefecture. (2021). 2021 Niigata Prefecture Nuclear Emergency Drill (held on November 9th, 11th, 13th, 2021)《Coverage guidelines》.
Niigata Prefecture. (2022a). Niigata Prefecture Screening/Simple Decontamination Manual. Retrieved from https://www.pref.niigata.lg.jp/uploaded/attachment/222992.pdf
Niigata Prefecture. (2022b). Radiation measurement status in Niigata Prefecture. Retrieved from https://www.pref.niigata.lg.jp/site/houshasen/1356818644064.html
Niigata Prefecture. (2022c). Results of monitoring radiation, etc. In Niigata Prefecture due to the Fukushima Daiichi Nuclear Power Plant accident. Retrieved from https://www.pref.niigata.lg.jp/uploaded/attachment/381356.pdf
Otun, O. W. (2021). Incremental planning of the location of public health facilities in a rural region. Indonesian Journal of Geography, 53(1). https://doi.org/10.22146/ijg.56107
OYAMA, Y., & NUMADA, M. (2018). Disaster response process and simulation of human resources allocation for efficient disaster medical relief system. Seisan-Kenkyu, 70, 8. https://doi.org/10.20965/jdr.2021.p0719
Shimada, K., & Takahara, S. (2021). Comparison analysis between U.S. and Japan on Evacuation Time Estimation for nuclear emergency planning zones (No. JAEA-Review 2021-013). JAEA. Retrieved from JAEA website: https://doi.org/10.11484/jaea-review-2021-013
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