Analysis of relationship between EMR characteristics and urban functions in highly populated urban areas

2018 · Unclear · Insufficient evidence

← Research stream

UnclearInsufficient evidencePaper 1960

Study snapshot

Publicationmanual · 2018

Study typeexposure_assessment

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Analysis of relationship between EMR characteristics and urban functions in highly populated urban areas Tang C, Yang C, Cai RS, Ye H, Duan L, Zhang Z, Shi Z, Lin K, Song J, Huang X, Zhang H, Yang J, Cai P. Analysis of the relationship between electromagnetic radiation characteristics and urban functions in highly populated urban areas. Sci Total Environ. 2018 Nov 10;654:535-540. doi: 10.1016/j.scitotenv.2018.11.143. Abstract The electromagnetic environment (EME) in cities is becoming increasingly complex, and the resulting potential health hazards have attracted widespread attention. Large-scale field observations and monitoring of electromagnetic fields were performed in Xiamen Island over the past six years. The results show that the integrated electric field intensity in Xiamen Island ranged from 0.32 V/m to 1.70 V/m, while the integrated magnetic flux density ranged from 0.11 μT to 0.50 μT; where more electric power facilities and electronic equipment are present in the island, the electric and magnetic field strengths are higher; the radiation power of 2nd Generation mobile communication (2G) is higher than that of 3rd Generation mobile communication (3G) and 4th Generation mobile communication (4G), the coverage of the 3G signal was more uniform than the others and the 4G communication signal's coverage is still developing. The relationship between the EME characteristics and urban functions has been analyzed in this study. Results showed that electric field intensity had no correlation with urban functional areas, magnetic flux density had a positive correlation with residential area (q = 0.29); 2G and 4G radiation power are positively related to the educational (Edu) function area (960 MHz q = 0.22, 1.8 GHz q = 0.47, 2.61 GHz q = 0.28); there was a positive relationship between 2G (1.8 GHz) radiation power and residential area (q = 0.2). We concluded that there is a strong link between the Xiamen Island's EME and the distribution of electromagnetic radiation (EMR) sources, the denser and wider distributed EMR sources lead to a more complicated urban EME. 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 directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureRF · field observations over six years

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Large-scale monitoring in Xiamen Island over six years found integrated electric field intensity ranged 0.32–1.70 V/m and integrated magnetic flux density ranged 0.11–0.50 µT. Electric field intensity showed no correlation with urban functional areas, while magnetic flux density was positively correlated with residential area (q=0.29). 2G and 4G radiation power were positively related to educational function areas (960 MHz q=0.22; 1.8 GHz q=0.47; 2.61 GHz q=0.28), and 2G (1.8 GHz) radiation power was positively related to residential area (q=0.2).

Outcomes measured

Integrated electric field intensity (V/m)
Integrated magnetic flux density (µT)
Radiation power/coverage characteristics of 2G/3G/4G signals
Correlations between EMR/EME metrics and urban functional areas (residential, educational)

View raw extracted JSON

{
  "study_type": "exposure_assessment",
  "exposure": {
    "band": "RF",
    "source": "urban environmental monitoring (mobile communication networks; electric power facilities/electronic equipment)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "field observations over six years"
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Integrated electric field intensity (V/m)",
    "Integrated magnetic flux density (µT)",
    "Radiation power/coverage characteristics of 2G/3G/4G signals",
    "Correlations between EMR/EME metrics and urban functional areas (residential, educational)"
  ],
  "main_findings": "Large-scale monitoring in Xiamen Island over six years found integrated electric field intensity ranged 0.32–1.70 V/m and integrated magnetic flux density ranged 0.11–0.50 µT. Electric field intensity showed no correlation with urban functional areas, while magnetic flux density was positively correlated with residential area (q=0.29). 2G and 4G radiation power were positively related to educational function areas (960 MHz q=0.22; 1.8 GHz q=0.47; 2.61 GHz q=0.28), and 2G (1.8 GHz) radiation power was positively related to residential area (q=0.2).",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "electromagnetic environment",
    "electromagnetic radiation",
    "urban functions",
    "field monitoring",
    "electric field intensity",
    "magnetic flux density",
    "2G",
    "3G",
    "4G",
    "960 MHz",
    "1.8 GHz",
    "2.61 GHz",
    "Xiamen Island"
  ],
  "suggested_hubs": [
    {
      "slug": "school-wi-fi",
      "weight": 0.22,
      "reason": "Findings include positive relationships between 2G/4G radiation power and educational function areas (Edu), though not specifically Wi‑Fi."
    },
    {
      "slug": "occupational-exposure",
      "weight": 0.1,
      "reason": "Mentions higher fields where more electric power facilities/electronic equipment are present, but no occupational population is assessed."
    }
  ]
}

AI can be wrong. Always verify against the paper.

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: 10.1016/j.scitotenv.2018.11.143
PubMed: Not supplied

Read the original paper →

Related papers

← Back to the Research Library