• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用暴露计和地理信息系统对城市核心区域射频辐射暴露进行时空映射。

Spatial and Temporal Mapping of RF Exposure in an Urban Core Using Exposimeter and GIS.

作者信息

Rufo-Pérez Montaña, Antolín-Salazar Alicia, Paniagua-Sánchez Jesús M, Jiménez-Barco Antonio, Rodríguez-Hernández Francisco J

机构信息

Department of Applied Physics, School of Technology, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.

School of Technology, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.

出版信息

Sensors (Basel). 2025 Feb 20;25(5):1301. doi: 10.3390/s25051301.

DOI:10.3390/s25051301
PMID:40096075
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11902647/
Abstract

The primary aim of this study was to evaluate the spatial and temporal variation in human exposure to electromagnetic fields across different frequency bands within an urban area identified as the commercial zone of a medium-sized city. Central to this investigation was the use of an exposimeter, strategically positioned on the back of the operator and secured to the hip area via a belt, to ensure comprehensive and accurate field measurements. An initial analysis was conducted to determine the shielding coefficients of the human body, allowing for precise corrections of the electric field values used in the spatial assessment. To map power density across the study area for each frequency, kriging interpolation was applied. Furthermore, temporal variations in exposure levels were analyzed at three distinct times of day-morning business hours, afternoon business hours, and non-business hours-using robust statistical methods. The study's innovative approach lies in the integration of GIS technology to uncover and visualize temporal patterns in exposure, particularly during periods of higher pedestrian density. This integration facilitated both the detection of temporal variations and the spatial representation of these changes, enabling rapid identification and assessment of exposure hotspots.

摘要

本研究的主要目的是评估在一个被确定为中等城市商业区的市区内,人类在不同频段接触电磁场的时空变化。这项调查的核心是使用一台暴露计,将其战略性地放置在操作人员的背部,并通过腰带固定在臀部区域,以确保全面而准确地测量场强。进行了初步分析以确定人体的屏蔽系数,从而对空间评估中使用的电场值进行精确校正。为了绘制每个频率在研究区域内的功率密度图,应用了克里金插值法。此外,使用稳健的统计方法,在一天中的三个不同时间——上午营业时间、下午营业时间和非营业时间——分析了暴露水平的时间变化。该研究的创新方法在于整合地理信息系统(GIS)技术,以揭示和可视化暴露的时间模式,特别是在行人密度较高的时期。这种整合有助于检测时间变化以及这些变化的空间表现,从而能够快速识别和评估暴露热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/039ccdf9b623/sensors-25-01301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/d0603974bac2/sensors-25-01301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/a41d93a6fc01/sensors-25-01301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/ded66a18db99/sensors-25-01301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/10027c2c4e73/sensors-25-01301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/34b6680df00d/sensors-25-01301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/039ccdf9b623/sensors-25-01301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/d0603974bac2/sensors-25-01301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/a41d93a6fc01/sensors-25-01301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/ded66a18db99/sensors-25-01301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/10027c2c4e73/sensors-25-01301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/34b6680df00d/sensors-25-01301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2017/11902647/039ccdf9b623/sensors-25-01301-g006.jpg

相似文献

1
Spatial and Temporal Mapping of RF Exposure in an Urban Core Using Exposimeter and GIS.利用暴露计和地理信息系统对城市核心区域射频辐射暴露进行时空映射。
Sensors (Basel). 2025 Feb 20;25(5):1301. doi: 10.3390/s25051301.
2
Exposure to radiofrequency electromagnetic fields: Comparison of exposimeters with a novel body-worn distributed meter.射频电磁场暴露:新型体戴分布式仪表与暴露计的比较。
Environ Int. 2021 Nov;156:106711. doi: 10.1016/j.envint.2021.106711. Epub 2021 Jun 19.
3
Use of portable exposimeters to monitor radiofrequency electromagnetic field exposure in the everyday environment.使用便携式暴露计监测日常环境中的射频电磁场暴露。
Environ Res. 2016 Oct;150:289-298. doi: 10.1016/j.envres.2016.06.020. Epub 2016 Jun 20.
4
Personal RF-EMF exposure from mobile phone base stations during temporary events.个人在临时事件中来自移动电话基站的射频电磁辐射暴露。
Environ Res. 2019 Aug;175:266-273. doi: 10.1016/j.envres.2019.05.033. Epub 2019 May 21.
5
Temporal trends of radio-frequency electromagnetic field (RF-EMF) exposure in everyday environments across European cities.日常环境中射频电磁场(RF-EMF)暴露的时间趋势:欧洲城市研究。
Environ Res. 2014 Oct;134:134-42. doi: 10.1016/j.envres.2014.07.003. Epub 2014 Aug 13.
6
Lessons learnt on biases and uncertainties in personal exposure measurement surveys of radiofrequency electromagnetic fields with exposimeters.利用暴露计对射频电磁场进行个人暴露测量调查中的偏差和不确定性的经验教训。
Environ Int. 2016 Sep;94:724-735. doi: 10.1016/j.envint.2016.06.023. Epub 2016 Jun 26.
7
Comprehensive personal RF-EMF exposure map and its potential use in epidemiological studies.个人射频电磁场暴露综合地图及其在流行病学研究中的潜在应用。
Environ Res. 2016 Aug;149:105-112. doi: 10.1016/j.envres.2016.05.010. Epub 2016 May 16.
8
Assessment of personal exposure from radiofrequency-electromagnetic fields in Australia and Belgium using on-body calibrated exposimeters.使用人体校准暴露计评估澳大利亚和比利时射频电磁场的个人暴露情况。
Environ Res. 2016 Nov;151:547-563. doi: 10.1016/j.envres.2016.08.022. Epub 2016 Aug 31.
9
Characterisation of personal exposure to environmental radiofrequency electromagnetic fields in Albacete (Spain) and assessment of risk perception.在西班牙阿尔瓦塞特进行的环境射频电磁场个人暴露特征描述及风险感知评估。
Environ Res. 2019 May;172:109-116. doi: 10.1016/j.envres.2019.02.015. Epub 2019 Feb 12.
10
Determining the relationship between mobile phone network signal strength and radiofrequency electromagnetic field exposure: protocol and pilot study to derive conversion functions.确定移动电话网络信号强度与射频电磁场暴露之间的关系:推导转换函数的方案与初步研究
Open Res Eur. 2025 Mar 31;4:206. doi: 10.12688/openreseurope.18285.2. eCollection 2024.

本文引用的文献

1
Assessment of the electromagnetic field exposure due to wireless communication technologies in two university campuses of medellin, Colombia.哥伦比亚麦德林市两所大学校园里无线通信技术造成的电磁场暴露评估。
Heliyon. 2023 Sep 20;9(9):e20323. doi: 10.1016/j.heliyon.2023.e20323. eCollection 2023 Sep.
2
Comparison of ambient radiofrequency electromagnetic field (RF-EMF) levels in outdoor areas and public transport in Switzerland in 2014 and 2021.2014年和2021年瑞士室外区域和公共交通中环境射频电磁场(RF-EMF)水平的比较。
Environ Res. 2023 Nov 15;237(Pt 1):116921. doi: 10.1016/j.envres.2023.116921. Epub 2023 Aug 19.
3
Public exposure to broadband electromagnetic fields and its association with population density and building density: The case study of Beijing.
公众暴露于宽带电磁场及其与人口密度和建筑密度的关联:以北京为例的案例研究
Heliyon. 2023 Jun 20;9(6):e17153. doi: 10.1016/j.heliyon.2023.e17153. eCollection 2023 Jun.
4
Large-area mobile measurement of outdoor exposure to radio frequencies.大面积移动测量户外射频暴露。
Sci Total Environ. 2023 Jun 15;877:162852. doi: 10.1016/j.scitotenv.2023.162852. Epub 2023 Mar 15.
5
Radiofrequency Exposure Levels in Greece.希腊的射频暴露水平。
Bioelectromagnetics. 2023 Jan;44(1-2):17-25. doi: 10.1002/bem.22434. Epub 2023 Feb 14.
6
Minimization of measuring points for the electric field exposure map generation in indoor environments by means of Kriging interpolation and selective sampling.通过克里金插值和选择性采样,最小化室内环境电场暴露图生成中的测量点数量。
Environ Res. 2022 Sep;212(Pt D):113577. doi: 10.1016/j.envres.2022.113577. Epub 2022 May 28.
7
Personal Exposure Assessment to Wi-Fi Radiofrequency Electromagnetic Fields in Mexican Microenvironments.个人对墨西哥微环境中 Wi-Fi 射频电磁场的暴露评估。
Int J Environ Res Public Health. 2021 Feb 14;18(4):1857. doi: 10.3390/ijerph18041857.
8
Georeferencing of Personal Exposure to Radiofrequency Electromagnetic Fields from Wi-Fi in a University Area.在大学区域对 Wi-Fi 产生的射频电磁场的个人暴露进行地理定位。
Int J Environ Res Public Health. 2020 Mar 14;17(6):1898. doi: 10.3390/ijerph17061898.
9
Guidelines for Limiting Exposure to Electromagnetic Fields (100 kHz to 300 GHz).电磁场暴露限制导则(100 kHz 至 300 GHz)。
Health Phys. 2020 May;118(5):483-524. doi: 10.1097/HP.0000000000001210.
10
Dimensionless coefficients for assessing human exposure to radio-frequency electromagnetic fields indoors and outdoors in urban areas.评估城市室内外射频电磁场人体暴露的无量纲系数。
Environ Res. 2020 Apr;183:109188. doi: 10.1016/j.envres.2020.109188. Epub 2020 Jan 29.