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Analysis of electromagnetic pollution by means of geographic information system

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 6 (2021)

DOI
10.11591/ijece.v11i6.pp5099-5106
ISSN
2722-2578, 2088-8708
Published
2021-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Currently, telecommunications systems have become more widespread and there is still a discrepancy between whether or not non-ionizing radiation produces health problems in living beings at cellular level. From an experimental point of view, it is interesting to raise the correlation of high levels of electromagnetic pollution with health problems in urban populations which would make it possible to clearly determine the effects of this type of radiation on human health and the environment. By means of remote sensing, a geographic information system (GIS) has been developed for the analysis of electromagnetic pollution levels generated by emissions from non-ionizing radiation (NIR) sources in a city. A method for measuring electromagnetic pollution was applied, which allows the generation of a table of attributes of the GIS that is the input to generate by inverse distance weighting (IDW), the layer of electromagnetic pollution. The method, as a case study, was applied in the city of Manizales, located in Colombia, obtaining as a result a layer that allows evidence that the highest levels of electromagnetic pollution are concentrated in the most central area of the city. In this way, the effects of NIR on public health can be analyzed by means of correlations.

Collaboration network of the authors

35 authors · 72 co-authorship links · 36 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universidad Católica de Manizales
  • Universidad Nacional de Colombia
  • Universidad de Caldas
  • Universidad del Cauca
  • Universidad de Manizales
  • Universidad de la Amazonia
  • Nigerian Institute For Oil Palm Reasearch
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nicolás Toro GarcíaUniversidad Nacional de Colombia3
Fredy E. HoyosUniversidad Nacional de Colombia3
Paula Andrea López JimenezUniversidad Católica de Manizales2
LUIS FERNANDO DIAZ CADAVIDUniversidad Nacional de Colombia2
María Nancy Marín OlayaUniversidad Católica de Manizales2
Angie Marcela Galvez ValenciaAffiliation unknown1
Erwin Leandro Lemus RodriguezAffiliation unknown1
Miguel Andres Arango ArgotiAffiliation unknown1
Alejandro RincónUniversidad Católica de Manizales1
Gloria Yaneth Flórez YépesUniversidad Católica de Manizales1
Juan Carlos Granobles ToresUniversidad de Manizales1
Rubén Darío Lara-EscobarUniversidad Católica de Manizales1
José Israel Cardenas-JimenezUniversidad Nacional de Colombia1
Carlos-Augusto González-CorreaUniversidad de Caldas1
Clara Helena González-CorreaUniversidad de Caldas1
Jesús Emilio Pinto LoperaUniversidad de la Amazonia1
Diana Carolina Meneses-CabezasUniversidad Católica de Manizales1
Yuliana Zapata-SernaUniversidad Católica de Manizales1
Jose Manuel Monsalve-TellezUniversidad Católica de Manizales1
Jorge Luís Torres-LeónNigerian Institute For Oil Palm Reasearch1
Christian Javier Pinza-JiménezUniversidad Católica de Manizales1
Astrid Lorena Urbano-CanoUniversidad del Cauca1
Diana Jimena López MesaCorporación Universitaria Comfacauca - Unicomfacauca1
Rosa Elvira Álvarez RoseroUniversidad del Cauca1
William Efrén Chirán-AlpalaUniversidad Católica de Manizales1
Lorena Paola Cárdenas EspinosaUniversidad Católica de Manizales1
Diego Alexander Gómez-MoyaAffiliation unknown1
Laura Valeria Avendaño-GarcíaUniversidad Católica de Manizales1
Luisa Fernanda Cuellar-EscobarUniversidad Católica de Manizales1
Cristian Gómez-GuzmánUniversidad Católica de Manizales1
Erick Salvador Reyes-GalvánUniversidad Católica de Manizales1
Fredy Alexander Bolivar-GomezAffiliation unknown1
Gloria Matilde Gil DuqueUniversidad Católica de Manizales1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Analysis of electromagnetic pollution by means of geographic information system</dc:title><dc:creator>Henao-Cespedes, Vladimir</dc:creator><dc:creator>Garcés-Gómez, Yeison Alberto</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Currently, telecommunications systems have become more widespread and there is still a discrepancy between whether or not non-ionizing radiation produces health problems in living beings at cellular level. From an experimental point of view, it is interesting to raise the correlation of high levels of electromagnetic pollution with health problems in urban populations which would make it possible to clearly determine the effects of this type of radiation on human health and the environment. By means of remote sensing, a geographic information system (GIS) has been developed for the analysis of electromagnetic pollution levels generated by emissions from non-ionizing radiation (NIR) sources in a city. A method for measuring electromagnetic pollution was applied, which allows the generation of a table of attributes of the GIS that is the input to generate by inverse distance weighting (IDW), the layer of electromagnetic pollution. The method, as a case study, was applied in the city of Manizales, located in Colombia, obtaining as a result a layer that allows evidence that the highest levels of electromagnetic pollution are concentrated in the most central area of the city. In this way, the effects of NIR on public health can be analyzed by means of correlations.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v11i6.pp5099-5106</dc:identifier><dc:identifier>10.11591/ijece.v11i6.pp5099-5106</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 6 (2021); 5099</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/25698/15184</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>