Characterizing and Mapping of Exposure to Radiofrequency Electromagnetic Fields (20-3,000 Mhz) in Chengdu, China

2017 · No effect · Low evidence

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No effectLow evidencePaper 1349

Car-mounted measurements across commercial, residential-urban, and residential-rural sites in Chengdu (2014–2015) characterized electric field exposure from 12 RF sources. Reported exposures were below relevant guidelines/standards; the highest measured expos…

Study snapshot

Publicationmanual · 2017
Study typeexposure_assessment
Reported directionNo effect
Evidence ratingLow

Abstract

Characterizing and Mapping of Exposure to Radiofrequency Electromagnetic Fields (20-3,000 Mhz) in Chengdu, China Zhu G, Gong X, Luo R. Characterizing and Mapping of Exposure to Radiofrequency Electromagnetic Fields (20- 3,000 Mhz) in Chengdu, China. Health Phys. 2017 Mar;112(3):266-275. doi: 10.1097/HP.0000000000000599. Abstract With radiofrequency exposure caused by electronic applications increasing, some members of the public are worrying about potential health risks. In this paper, methods of performing large-scale radiofrequency exposure evaluation are described. All studied sites were divided into three categories: commercial-area, residential- urban, and residential-rural. Then a series of site investigations were conducted on a car-mounted system in the years 2014 and 2015, aiming to characterize electric field exposure from 12 different radiofrequency sources. The results indicate that the studied environment is safe as indicated by exposure below guidelines and standards. The highest exposure measured in the 2 y of monitoring was from an FM source, 316.23 mV m. Telecommunication sources dominate exposure, contributing the most power density (65-90%). Meanwhile, intergroup differences are discussed and summarized. The spatial distributions of FM and GSM1800 exposure are demonstrated on a map. This study describes an approach for the assessment of the spatiotemporal pattern of radiofrequency exposures in Chengdu and facilitates the identification of any sources causing exposure above relevant guidelines and standards. ncbi.nlm.nih.gov

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeexposure_assessment
Effect directionno_effect
PopulationNot supplied
Sample sizeNot supplied
ExposureRF · monitoring in 2014 and 2015 (2 years)
Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

Car-mounted measurements across commercial, residential-urban, and residential-rural sites in Chengdu (2014–2015) characterized electric field exposure from 12 RF sources. Reported exposures were below relevant guidelines/standards; the highest measured exposure was from an FM source (316.23 mV/m). Telecommunication sources contributed most of the power density (65–90%), and spatial distributions of FM and GSM1800 exposure were mapped.

Outcomes measured

  • Electric field exposure levels
  • Power density contribution by source category
  • Spatial distribution (mapping) of FM and GSM1800 exposure
  • Comparison of measured exposure to guidelines/standards
View raw extracted JSON
{
  "study_type": "exposure_assessment",
  "exposure": {
    "band": "RF",
    "source": "multiple radiofrequency sources (including FM and telecommunication sources such as GSM1800)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "monitoring in 2014 and 2015 (2 years)"
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Electric field exposure levels",
    "Power density contribution by source category",
    "Spatial distribution (mapping) of FM and GSM1800 exposure",
    "Comparison of measured exposure to guidelines/standards"
  ],
  "main_findings": "Car-mounted measurements across commercial, residential-urban, and residential-rural sites in Chengdu (2014–2015) characterized electric field exposure from 12 RF sources. Reported exposures were below relevant guidelines/standards; the highest measured exposure was from an FM source (316.23 mV/m). Telecommunication sources contributed most of the power density (65–90%), and spatial distributions of FM and GSM1800 exposure were mapped.",
  "effect_direction": "no_effect",
  "limitations": [],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "radiofrequency",
    "RF-EMF",
    "exposure assessment",
    "mapping",
    "spatiotemporal pattern",
    "car-mounted system",
    "FM",
    "GSM1800",
    "telecommunication sources",
    "Chengdu",
    "guidelines",
    "standards"
  ],
  "suggested_hubs": [
    {
      "slug": "exposure-mapping",
      "weight": 0.9,
      "reason": "Large-scale RF exposure characterization and spatial mapping (FM and GSM1800) in an urban area."
    }
  ]
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1097/hp.0000000000000599
PubMed: Not supplied

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