Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve

Author:

Huang Yi123ORCID,Wang Mengyi4,Qiu Qianqian5,Miao Lizhi23,Zhang Haiping16,Qin Jiarui16,Min Xiangqiang16,Sheng Yehua16ORCID

Affiliation:

1. Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, 210023, China

2. School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, 210023, China

3. Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, 210023, China

4. Zhejiang Wenling High School, 317515, China

5. Jiangsu Province Surveying & Mapping Engineering Institute, China

6. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, 210023, China

Abstract

Electromagnetic geographic environment is closely related to human life. With continuous popularization of public infrastructures and daily electronic instruments, such as electric power communication systems and household appliances, electromagnetic radiation sources have increased sharply in the geographic environment, which leads to increasingly serious electromagnetic radiation pollution. Thus, it is significant to monitor, evaluate, and analyze the electromagnetic radiation condition and explore its changing law in the environment. However, the traditional monitoring method can only detect anomalies within certain frequencies in the fixed stations. To fill this gap, this research first develops a vehicle-mounted electromagnetic environment monitoring system to collect both spatial positioning data and electromagnetic data of the whole frequency range. The acquired data are then used to construct the location-based frequency-intensity curve to reflect the variation of electromagnetic radiation at different frequency ranges. On this basis, a curve similarity measurement method is introduced to analyze the similarity of different curves, which is effective to diagnose time-varying sources from both global and local perspectives. This research provides a real-time mobile monitoring method, which is significant to know the dynamic variation of local electromagnetic environment and promotes subsequent comprehensive geographic analyses.

Funder

Open Foundation of Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Reference31 articles.

1. Earth’s Electromagnetic Environment

2. The Earth's electromagnetic environment

3. Spatial interpolation method of electromagnetic geographical environment monitoring data;M. Y. Wang;Journal of Geo-information Science,2017

4. Study of electromagnetic radiation pollution in an Indian city

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