title: Multicriteria relocation analysis of an off-site radioactive monitoring network for a nuclear power plant.
abstract: Due to increasing environmental consciousness in most countries, every utility that owns a commercial nuclear power plant has been required to have both an on-site and off-site emergency response plan since the 1980s. A radiation monitoring network, viewed as part of the emergency response plan, can provide information regarding the radiation dosage emitted from a nuclear power plant in a regular operational period and/or abnormal measurements in an emergency event. Such monitoring information might help field operators and decision-makers to provide accurate responses or make decisions to protect the public health and safety. This study aims to conduct an integrated simulation and optimization analysis looking for the relocation strategy of a long-term regular off-site monitoring network at a nuclear power plant. The planning goal is to downsize the current monitoring network but maintain its monitoring capacity as much as possible. The monitoring sensors considered in this study include the thermoluminescence dosimetry (TLD) and air sampling system (AP) simultaneously. It is designed for detecting the radionuclide accumulative concentration, the frequency of violation, and the possible population affected by a long-term impact in the surrounding area regularly while it can also be used in an accidental release event. With the aid of the calibrated Industrial Source Complex-Plume Rise Model Enhancements (ISC-PRIME) simulation model to track down the possible radionuclide diffusion, dispersion, transport, and transformation process in the atmospheric environment, a multiobjective evaluation process can be applied to achieve the screening of monitoring stations for the nuclear power plant located at Hengchun Peninsula, South Taiwan. To account for multiple objectives, this study calculated preference weights to linearly combine objective functions leading to decision-making with exposure assessment in an optimization context. Final suggestions should be useful for narrowing the set of scenarios that decision-makers need to consider in this relocation process.
authors.affiliation: Department of Civil and Environmental Engineering, University of Central Florida, Orlando, Florida 32816, USA. nchang@mail.ucf.edu
authors.forename: Ni-Bin
authors.initials: NB
authors.lastname: Chang
authors.forename: Shu-Kuang
authors.initials: SK
authors.lastname: Ning
authors.forename: Jen-Chang
authors.initials: JC
authors.lastname: Chen
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D011210:Power Plants; D011848:Radioactive Pollutants / Q000032:analysis*
chemical_list: D011848:Radioactive Pollutants