title: Prediction and measurement of the electromagnetic environment of high-power medium-wave and short-wave broadcast antennas in far field.
abstract: With the increasing city size, high-power electromagnetic radiation devices such as high-power medium-wave (MW) and short-wave (SW) antennas have been inevitably getting closer and closer to buildings, which resulted in the pollution of indoor electromagnetic radiation becoming worsened. To avoid such radiation exceeding the exposure limits by national standards, it is necessary to predict and survey the electromagnetic radiation by MW and SW antennas before constructing the buildings. In this paper, a modified prediction method for the far-field electromagnetic radiation is proposed and successfully applied to predict the electromagnetic environment of an area close to a group of typical high-power MW and SW wave antennas. Different from currently used simplified prediction method defined in the Radiation Protection Management Guidelines (H J/T 10. 3-1996), the new method in this article makes use of more information such as antennas' patterns to predict the electromagnetic environment. Therefore, it improves the prediction accuracy significantly by the new feature of resolution at different directions. At the end of this article, a comparison between the prediction data and the measured results is given to demonstrate the effectiveness of the proposed new method.
authors.affiliation: College of Material Science and Engineering, Beijing University of Technology, Beijing 100124, China State Key Laboratory of Millimeter Waves, Nanjing 210096, China State Key Laboratory of Green Building Materials, Beijing 100024, China tang@bjut.edu.cn xbqiu@mail.buct.edu.cn.
authors.forename: Zhanghong
authors.initials: Z
authors.lastname: Tang
authors.affiliation: College of Material Science and Engineering, Beijing University of Technology, Beijing 100124, China.
authors.forename: Qun
authors.initials: Q
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Green Building Materials, Beijing 100024, China.
authors.forename: Zhijiang
authors.initials: Z
authors.lastname: Ji
authors.affiliation: The Quartermaster Equipment Research Institute of the General Logistics Department of the PLA, Beijing 100088, China.
authors.forename: Meiwu
authors.initials: M
authors.lastname: Shi
authors.affiliation: State Key Laboratory of Green Building Materials, Beijing 100024, China.
authors.forename: Guoyan
authors.initials: G
authors.lastname: Hou
authors.affiliation: State Key Laboratory of Green Building Materials, Beijing 100024, China.
authors.forename: Danjun
authors.initials: D
authors.lastname: Tan
authors.affiliation: State Key Laboratory of Green Building Materials, Beijing 100024, China.
authors.forename: Pengqi
authors.initials: P
authors.lastname: Wang
authors.affiliation: College of Information Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China tang@bjut.edu.cn xbqiu@mail.buct.edu.cn.
authors.forename: Xianbo
authors.initials: X
authors.lastname: Qiu
mesh_terms: D002681:China; D060733:Electromagnetic Radiation; D004781:Environmental Exposure; D006801:Humans; D011834:Radiation Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D011835:Radiation Protection / Q000592:standards / Q000706:statistics & numerical data; D011846:Radio Waves / Q000009:adverse effects*