4.7 Article

Evaluation of Chinese populational exposure to environmental electromagnetic field based on stochastic dosimetry and parametric human modelling

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 14, 页码 40445-40460

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-023-25153-y

关键词

Specific absorption rate; Radiofrequency electromagnetic field; Anatomical model; Deterministic simulation; Surrogate model; Polynomial chaos expansion

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This study aimed to estimate the distribution of whole-body averaged specific absorption rate (WBSAR) using measurable physique parameters for Chinese adults exposed to electromagnetic fields (EMFs) of current wireless communication frequencies, and found that different combinations of physique parameters significantly influenced the WBSAR for different genders and frequencies. The use of surrogate modelling showed the feasibility of estimating individual WBSAR with a limited number of physique parameters. The population-based distribution of WBSAR in Chinese adults was presented for the first time in this study.
This study aimed to estimate the distribution of the whole-body averaged specific absorption rate (WBSAR) using several measurable physique parameters for Chinese adult population exposed to environmental electromagnetic fields (EMFs) of current wireless communication frequencies, and to discuss the effects of these physique parameters in the frequency-dependent dosimetric results. The physique distribution of Chinese adults was obtained from the National Physical Fitness and Health Database comprising 81,490 adult samples. The number of physique parameters used to construct the surrogate model was reduced to three via mutual information analysis. A stochastic method with 40 deterministic simulations was used to generate frequency-dependent and gender-specific surrogate models for WBSAR via polynomial chaos expansion. In the simulations, we constructed anatomically correct models conforming to the targeted physique parameters via deformable human modelling technique, which was based on deep learning from the image database including 767 Chinese adults. Thereafter, we analysed the sensitivity of the physique parameters to WBSAR by covariance-based Sobol decomposition. The results indicated that the generated models were consistent with the targeted physique parameters. The estimated dosimetric results were validated using finite-difference time-domain simulations (the error was < 6% across all the investigated frequencies for WBSAR). The novelty of the study included that it demonstrated the feasibility of estimating the individual WBSAR using a limited number of physique parameters with the aid of surrogate modelling. In addition, the population-based distribution of the WBSAR in Chinese adults was firstly presented in the manuscript. The results also indicated that the different combinations of physique parameter, dependent on genders and frequencies, significantly influenced the WBSAR, although the general conservativeness of the guidelines of the International Commission on Non-Ionizing Radiation and Protection can be confirmed in the surveyed population.

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