Loading…

Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study

Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic...

Full description

Saved in:
Bibliographic Details
Published in:Mathematics (Basel) 2023-05, Vol.11 (10), p.2292
Main Authors: Pavel, Ionel, Petrescu, Camelia, David, Valeriu, Lunca, Eduard
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13
cites cdi_FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13
container_end_page
container_issue 10
container_start_page 2292
container_title Mathematics (Basel)
container_volume 11
creator Pavel, Ionel
Petrescu, Camelia
David, Valeriu
Lunca, Eduard
description Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic fields produced by OPLs is a challenge. In this paper a hybrid method for the estimation of the temporal and spatial distribution of the magnetic flux density B caused by OPLs, based on experimental measurements and on numerical and analytical simulations, is presented. Thus, using a small number of simultaneous spot measurements correlated with a long-term survey, maps of the magnetic flux density distribution on extended areas are established, for several time instances. The proposed method is verified using two sets of different measurements and the results obtained through simulation. The difference between the estimated and simulated values of B is under 5.5%, which is considered acceptable considering that B spans over a large set of values (724 nT ÷ 1375 nT) in the location of the long-term survey procedure. The possibilities and limitations of the proposed method are discussed.
doi_str_mv 10.3390/math11102292
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_57199ee8f15e4fb9a9a137f96415b23f</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A750991749</galeid><doaj_id>oai_doaj_org_article_57199ee8f15e4fb9a9a137f96415b23f</doaj_id><sourcerecordid>A750991749</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13</originalsourceid><addsrcrecordid>eNpNkc9uEzEQxlcIJKrSGw9giSsp_rveOUahhUpBRaKcrdn1OHGUrFN7F9QbD8ET8iS4BFB9sD3j7_t5RtM0rwW_VAr4uwNOWyEElxLks-ZMSmkXtj48f3J_2VyUsuN1gVCdhrPm_qpMsVpjGlkKbNoS-3KsIe4Zjp7d0eGYcg3exzLl2M__hJ9wM9IUB3Ydae8Lw5zmqr_9RnlL6Nnn9J0yW8eRyq8fP5dshaWSp9k_vGpeBNwXuvh7njdfr6_uVh8X69sPN6vlejFo3k4LlMZrxAEDaOAKgLfSWBNUx1uDZpCcJPTKi172hqu6hdYrrrQWxioS6ry5OXF9wp075tplfnAJo_uTSHnjMNcO9uSMFQBEXRCGdOgBAYWyAdrK6qUKlfXmxDrmdD9TmdwuzXms5TvZCdDWmO7xx8uTaoMVGseQplwbGNDTIQ5ppBBrfmkNBxBWQzW8PRmGnErJFP6XKbh7HKp7OlT1G8Eok90</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2819475581</pqid></control><display><type>article</type><title>Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Pavel, Ionel ; Petrescu, Camelia ; David, Valeriu ; Lunca, Eduard</creator><creatorcontrib>Pavel, Ionel ; Petrescu, Camelia ; David, Valeriu ; Lunca, Eduard</creatorcontrib><description>Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic fields produced by OPLs is a challenge. In this paper a hybrid method for the estimation of the temporal and spatial distribution of the magnetic flux density B caused by OPLs, based on experimental measurements and on numerical and analytical simulations, is presented. Thus, using a small number of simultaneous spot measurements correlated with a long-term survey, maps of the magnetic flux density distribution on extended areas are established, for several time instances. The proposed method is verified using two sets of different measurements and the results obtained through simulation. The difference between the estimated and simulated values of B is under 5.5%, which is considered acceptable considering that B spans over a large set of values (724 nT ÷ 1375 nT) in the location of the long-term survey procedure. The possibilities and limitations of the proposed method are discussed.</description><identifier>ISSN: 2227-7390</identifier><identifier>EISSN: 2227-7390</identifier><identifier>DOI: 10.3390/math11102292</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Case studies ; Density distribution ; Electric properties ; experimental determination of magnetic fields ; Flux density ; magnetic field survey ; Magnetic fields ; Magnetic flux ; Mathematics ; modeling and simulation of OPLs ; Optimization ; Power lines ; Simulation ; Simulation methods ; Spatial distribution ; Temporal distribution</subject><ispartof>Mathematics (Basel), 2023-05, Vol.11 (10), p.2292</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13</citedby><cites>FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13</cites><orcidid>0000-0001-6832-6056 ; 0000-0003-1345-5998</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2819475581/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2819475581?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Pavel, Ionel</creatorcontrib><creatorcontrib>Petrescu, Camelia</creatorcontrib><creatorcontrib>David, Valeriu</creatorcontrib><creatorcontrib>Lunca, Eduard</creatorcontrib><title>Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study</title><title>Mathematics (Basel)</title><description>Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic fields produced by OPLs is a challenge. In this paper a hybrid method for the estimation of the temporal and spatial distribution of the magnetic flux density B caused by OPLs, based on experimental measurements and on numerical and analytical simulations, is presented. Thus, using a small number of simultaneous spot measurements correlated with a long-term survey, maps of the magnetic flux density distribution on extended areas are established, for several time instances. The proposed method is verified using two sets of different measurements and the results obtained through simulation. The difference between the estimated and simulated values of B is under 5.5%, which is considered acceptable considering that B spans over a large set of values (724 nT ÷ 1375 nT) in the location of the long-term survey procedure. The possibilities and limitations of the proposed method are discussed.</description><subject>Case studies</subject><subject>Density distribution</subject><subject>Electric properties</subject><subject>experimental determination of magnetic fields</subject><subject>Flux density</subject><subject>magnetic field survey</subject><subject>Magnetic fields</subject><subject>Magnetic flux</subject><subject>Mathematics</subject><subject>modeling and simulation of OPLs</subject><subject>Optimization</subject><subject>Power lines</subject><subject>Simulation</subject><subject>Simulation methods</subject><subject>Spatial distribution</subject><subject>Temporal distribution</subject><issn>2227-7390</issn><issn>2227-7390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkc9uEzEQxlcIJKrSGw9giSsp_rveOUahhUpBRaKcrdn1OHGUrFN7F9QbD8ET8iS4BFB9sD3j7_t5RtM0rwW_VAr4uwNOWyEElxLks-ZMSmkXtj48f3J_2VyUsuN1gVCdhrPm_qpMsVpjGlkKbNoS-3KsIe4Zjp7d0eGYcg3exzLl2M__hJ9wM9IUB3Ydae8Lw5zmqr_9RnlL6Nnn9J0yW8eRyq8fP5dshaWSp9k_vGpeBNwXuvh7njdfr6_uVh8X69sPN6vlejFo3k4LlMZrxAEDaOAKgLfSWBNUx1uDZpCcJPTKi172hqu6hdYrrrQWxioS6ry5OXF9wp075tplfnAJo_uTSHnjMNcO9uSMFQBEXRCGdOgBAYWyAdrK6qUKlfXmxDrmdD9TmdwuzXms5TvZCdDWmO7xx8uTaoMVGseQplwbGNDTIQ5ppBBrfmkNBxBWQzW8PRmGnErJFP6XKbh7HKp7OlT1G8Eok90</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Pavel, Ionel</creator><creator>Petrescu, Camelia</creator><creator>David, Valeriu</creator><creator>Lunca, Eduard</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6832-6056</orcidid><orcidid>https://orcid.org/0000-0003-1345-5998</orcidid></search><sort><creationdate>20230501</creationdate><title>Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study</title><author>Pavel, Ionel ; Petrescu, Camelia ; David, Valeriu ; Lunca, Eduard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Case studies</topic><topic>Density distribution</topic><topic>Electric properties</topic><topic>experimental determination of magnetic fields</topic><topic>Flux density</topic><topic>magnetic field survey</topic><topic>Magnetic fields</topic><topic>Magnetic flux</topic><topic>Mathematics</topic><topic>modeling and simulation of OPLs</topic><topic>Optimization</topic><topic>Power lines</topic><topic>Simulation</topic><topic>Simulation methods</topic><topic>Spatial distribution</topic><topic>Temporal distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pavel, Ionel</creatorcontrib><creatorcontrib>Petrescu, Camelia</creatorcontrib><creatorcontrib>David, Valeriu</creatorcontrib><creatorcontrib>Lunca, Eduard</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Mathematics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pavel, Ionel</au><au>Petrescu, Camelia</au><au>David, Valeriu</au><au>Lunca, Eduard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study</atitle><jtitle>Mathematics (Basel)</jtitle><date>2023-05-01</date><risdate>2023</risdate><volume>11</volume><issue>10</issue><spage>2292</spage><pages>2292-</pages><issn>2227-7390</issn><eissn>2227-7390</eissn><abstract>Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic fields produced by OPLs is a challenge. In this paper a hybrid method for the estimation of the temporal and spatial distribution of the magnetic flux density B caused by OPLs, based on experimental measurements and on numerical and analytical simulations, is presented. Thus, using a small number of simultaneous spot measurements correlated with a long-term survey, maps of the magnetic flux density distribution on extended areas are established, for several time instances. The proposed method is verified using two sets of different measurements and the results obtained through simulation. The difference between the estimated and simulated values of B is under 5.5%, which is considered acceptable considering that B spans over a large set of values (724 nT ÷ 1375 nT) in the location of the long-term survey procedure. The possibilities and limitations of the proposed method are discussed.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/math11102292</doi><orcidid>https://orcid.org/0000-0001-6832-6056</orcidid><orcidid>https://orcid.org/0000-0003-1345-5998</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2227-7390
ispartof Mathematics (Basel), 2023-05, Vol.11 (10), p.2292
issn 2227-7390
2227-7390
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_57199ee8f15e4fb9a9a137f96415b23f
source Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Case studies
Density distribution
Electric properties
experimental determination of magnetic fields
Flux density
magnetic field survey
Magnetic fields
Magnetic flux
Mathematics
modeling and simulation of OPLs
Optimization
Power lines
Simulation
Simulation methods
Spatial distribution
Temporal distribution
title Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T08%3A02%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimation%20of%20the%20Spatial%20and%20Temporal%20Distribution%20of%20Magnetic%20Fields%20around%20Overhead%20Power%20Lines%E2%80%94A%20Case%20Study&rft.jtitle=Mathematics%20(Basel)&rft.au=Pavel,%20Ionel&rft.date=2023-05-01&rft.volume=11&rft.issue=10&rft.spage=2292&rft.pages=2292-&rft.issn=2227-7390&rft.eissn=2227-7390&rft_id=info:doi/10.3390/math11102292&rft_dat=%3Cgale_doaj_%3EA750991749%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c406t-a25d4aacaf9490399062575f38065a5c20e29b3d1b2b5032b5f6d303441573e13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2819475581&rft_id=info:pmid/&rft_galeid=A750991749&rfr_iscdi=true