Volume 19 Issue 5
Oct.  2006
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HE-SHAN GE, YAN-FENG HONG. A Prediction Model of MF Radiation in Environmental Assessment[J]. Biomedical and Environmental Sciences, 2006, 19(5): 405-408.
Citation: HE-SHAN GE, YAN-FENG HONG. A Prediction Model of MF Radiation in Environmental Assessment[J]. Biomedical and Environmental Sciences, 2006, 19(5): 405-408.

A Prediction Model of MF Radiation in Environmental Assessment

  • Objective To predict the impact of MF radiation on human health.Methods The vertical distribution of field intensity was estimated by analogism on the basis of measured values from simulation measurement. Results A kind of analogism on the basis of geometric proportion decay pattern is put forward in the essay. It showed that with increasing of height the field intensity increased according to geometric proportion law. Conclusion This geometric proportion prediction model can be used to estimate the impact of MF radiation on inhabited environment, and can act as a reference pattern in predicting the environmental impact level of MF radiation.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Prediction Model of MF Radiation in Environmental Assessment

Abstract: Objective To predict the impact of MF radiation on human health.Methods The vertical distribution of field intensity was estimated by analogism on the basis of measured values from simulation measurement. Results A kind of analogism on the basis of geometric proportion decay pattern is put forward in the essay. It showed that with increasing of height the field intensity increased according to geometric proportion law. Conclusion This geometric proportion prediction model can be used to estimate the impact of MF radiation on inhabited environment, and can act as a reference pattern in predicting the environmental impact level of MF radiation.

HE-SHAN GE, YAN-FENG HONG. A Prediction Model of MF Radiation in Environmental Assessment[J]. Biomedical and Environmental Sciences, 2006, 19(5): 405-408.
Citation: HE-SHAN GE, YAN-FENG HONG. A Prediction Model of MF Radiation in Environmental Assessment[J]. Biomedical and Environmental Sciences, 2006, 19(5): 405-408.

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