Electromagnetic intensity investigation of emitted non-ionizing radiation from base transcriptive
Abstract
Electromagnetic intensity investigation of emitted non-ionizing radiation from base transcriptive stations in the urban region of southern Iran Abbasi F, Badeenezhad A, Abouee E, Shademanpour Z, Janghorban F, Janatshoar H, Naserpour M, Mohammadpour A. Electromagnetic intensity investigation of emitted non-ionizing radiation from base transcriptive stations in the urban region of southern Iran. Int J Environ Health Res. 2024 Dec 2:1-12. doi: 10.1080/09603123.2024.2435484. Epub ahead of print. PMID: 39620927. Abstract Their monitoring in urban regions is essential for policymakers and the population. In this study, the electromagnetic intensity (EMI) was measured around 30 stations of base transcriptive stations (BTS) at both distances lower than 20m and higher than 200m using real-time equipment SMP2-dual in summer and winter. Results have shown that EMI in summer (range: 2-6500 mW/m2) was more than in winter (1.5-5000), and the intensity of about 93% of samples exceeded WHO standards. EMI has consistently decreased with the increasing distance from BTS. There was a negative correlation between the temperature and EMI in summer and humidity and EMI for both distances. The mapping of EMI depicted the highest value of EMI across the central region from south to eastern north at a distance lower than 20 m in winter. The clustering of the EMI in this region was influenced by the geographical location of BTS. pubmed.ncbi.nlm.nih.gov
AI evidence extraction
Main findings
EMI measured around 30 BTS ranged from 2–6500 mW/m2 in summer and 1.5–5000 mW/m2 in winter, with higher values in summer. The abstract reports that about 93% of samples exceeded WHO standards and that EMI decreased with increasing distance from BTS. Negative correlations were reported between temperature and EMI in summer and between humidity and EMI for both distances; mapping/clustering suggested highest EMI in a central region influenced by BTS geographic location.
Outcomes measured
- electromagnetic intensity (EMI) (mW/m2)
- proportion of samples exceeding WHO standards
- association of EMI with distance from BTS
- correlation of EMI with temperature and humidity
- spatial mapping/clustering of EMI
Limitations
- Frequency band(s) not specified in the abstract
- Exact sample size/number of measurements not reported (only number of stations)
- WHO standard referenced but not specified (which guideline/limit and averaging time not stated)
- Measurement protocol details (e.g., time of day, averaging, calibration) not provided in the abstract
Suggested hubs
-
who-icnirp
(0.6) Abstract explicitly references exceedance of WHO standards.
View raw extracted JSON
{
"study_type": "exposure_assessment",
"exposure": {
"band": null,
"source": "base transcriptive stations (BTS)",
"frequency_mhz": null,
"sar_wkg": null,
"duration": "Measurements in summer and winter; distances <20 m and >200 m from BTS"
},
"population": null,
"sample_size": null,
"outcomes": [
"electromagnetic intensity (EMI) (mW/m2)",
"proportion of samples exceeding WHO standards",
"association of EMI with distance from BTS",
"correlation of EMI with temperature and humidity",
"spatial mapping/clustering of EMI"
],
"main_findings": "EMI measured around 30 BTS ranged from 2–6500 mW/m2 in summer and 1.5–5000 mW/m2 in winter, with higher values in summer. The abstract reports that about 93% of samples exceeded WHO standards and that EMI decreased with increasing distance from BTS. Negative correlations were reported between temperature and EMI in summer and between humidity and EMI for both distances; mapping/clustering suggested highest EMI in a central region influenced by BTS geographic location.",
"effect_direction": "harm",
"limitations": [
"Frequency band(s) not specified in the abstract",
"Exact sample size/number of measurements not reported (only number of stations)",
"WHO standard referenced but not specified (which guideline/limit and averaging time not stated)",
"Measurement protocol details (e.g., time of day, averaging, calibration) not provided in the abstract"
],
"evidence_strength": "low",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "yes",
"keywords": [
"electromagnetic intensity",
"non-ionizing radiation",
"base transcriptive stations",
"BTS",
"urban monitoring",
"Iran",
"mW/m2",
"distance decay",
"temperature",
"humidity",
"spatial mapping",
"WHO standards"
],
"suggested_hubs": [
{
"slug": "who-icnirp",
"weight": 0.59999999999999997779553950749686919152736663818359375,
"reason": "Abstract explicitly references exceedance of WHO standards."
}
]
}
AI can be wrong. Always verify against the paper.
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