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Miravet-Garret L, de Cózar-Macías ÓD, Blázquez-Parra EB, Marín-Granados MD, García-González JB. 3D GIS for surface modelling of magnetic fields generated by overhead power lines and their validation in a complex urban area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 796:148818. [PMID: 34280632 DOI: 10.1016/j.scitotenv.2021.148818] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/23/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
Residential exposure to magnetic fields generated by overhead high-voltage power lines, continues to be a matter of social concern and, for the scientific community, a challenge to model this exposure accurately enough to reliably detect even small effects in large populations complexes. In any expression of the magnetic field intensity, the source-receiver distance is a determining variable, especially in an environment closer to the electrical installation and critical with the existence of significant unevenness in the terrain. However, MF exposure studies adopt, due to their complexity, simplifications of reality where even sometimes the terrain relief and the buckling of the line are not considered. The application of 3D techniques with Geographic Information Systems (GIS) allows us to address this problem. This article presents a model for generating magnetic field intensity surfaces from high-precision terrain elevation data. The series expansion of the Biot-Savart law to an infinite rectilinear conductor with variable height according to the catenary described by the cables using ArcGIS software is applied to calculate the magnetic field. For the validation, 69 control points (1035 field measurements) were used in a free urban area and another 28 points (420 field measurements) in a built-up urban area with complex relief. Good estimates were obtained, although with differences in both areas. With MAPE 9.65% and 19.51%, R2 = 0.922 and 0.949, RMSE = 0.154 and 0.094 μT, respectively. Furthermore, 86% of the points were correctly classified according to usual exposure percentiles. However, the use of a 5 m resolution digital terrain model to obtain high-precision elevation data was an indispensable condition for the good performance of our model. The result as a continuous surface of magnetic field values at the real elevation of the ground can contribute significantly to the development of new environmental and public health studies.
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Affiliation(s)
- Laia Miravet-Garret
- Department of Graphic Expression, Design and Projects, School of Industrial Engineering, University of Malaga, c / Doctor Ortiz Ramos s / n, 29071 Malaga, Spain.
| | - Óscar David de Cózar-Macías
- Department of Graphic Expression, Design and Projects, School of Industrial Engineering, University of Malaga, c / Doctor Ortiz Ramos s / n, 29071 Malaga, Spain.
| | - Elidia Beatriz Blázquez-Parra
- Department of Graphic Expression, Design and Projects, School of Industrial Engineering, University of Malaga, c / Doctor Ortiz Ramos s / n, 29071 Malaga, Spain.
| | - Manuel Damián Marín-Granados
- Department of Graphic Expression, Design and Projects, School of Industrial Engineering, University of Malaga, c / Doctor Ortiz Ramos s / n, 29071 Malaga, Spain.
| | - Juan Bernabé García-González
- Department of Electrical Engineering, School of Industrial Engineering, University of Malaga, c / Doctor Ortiz Ramos s / n, 29071 Malaga, Spain.
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Amoon AT, Crespi CM, Ahlbom A, Bhatnagar M, Bray I, Bunch KJ, Clavel J, Feychting M, Hémon D, Johansen C, Kreis C, Malagoli C, Marquant F, Pedersen C, Raaschou-Nielsen O, Röösli M, Spycher BD, Sudan M, Swanson J, Tittarelli A, Tuck DM, Tynes T, Vergara X, Vinceti M, Wünsch-Filho V, Kheifets L. Proximity to overhead power lines and childhood leukaemia: an international pooled analysis. Br J Cancer 2018; 119:364-373. [PMID: 29808013 PMCID: PMC6068168 DOI: 10.1038/s41416-018-0097-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 03/14/2018] [Accepted: 04/06/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Although studies have consistently found an association between childhood leukaemia risk and magnetic fields, the associations between childhood leukaemia and distance to overhead power lines have been inconsistent. We pooled data from multiple studies to assess the association with distance and evaluate whether it is due to magnetic fields or other factors associated with distance from lines. METHODS We present a pooled analysis combining individual-level data (29,049 cases and 68,231 controls) from 11 record-based studies. RESULTS There was no material association between childhood leukaemia and distance to nearest overhead power line of any voltage. Among children living < 50 m from 200 + kV power lines, the adjusted odds ratio for childhood leukaemia was 1.33 (95% CI: 0.92-1.93). The odds ratio was higher among children diagnosed before age 5 years. There was no association with calculated magnetic fields. Odds ratios remained unchanged with adjustment for potential confounders. CONCLUSIONS In this first comprehensive pooled analysis of childhood leukaemia and distance to power lines, we found a small and imprecise risk for residences < 50 m of 200 + kV lines that was not explained by high magnetic fields. Reasons for the increased risk, found in this and many other studies, remains to be elucidated.
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Affiliation(s)
- Aryana T Amoon
- Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA
| | - Catherine M Crespi
- Department of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA
| | - Anders Ahlbom
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Megha Bhatnagar
- Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA
| | - Isabelle Bray
- Department of Health and Social Sciences, University of the West of England, Bristol, BS16 1QY, UK
| | - Kathryn J Bunch
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Headington, Oxford, OX3 7LF, UK
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers, CRESS, INSERM, UMR 1153, Paris Descartes University, Villejuif, France.,National Registry of Childhood Cancers - Hematological Malignancies, Villejuif, France
| | - Maria Feychting
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Denis Hémon
- Epidemiology of Childhood and Adolescent Cancers, CRESS, INSERM, UMR 1153, Paris Descartes University, Villejuif, France
| | - Christoffer Johansen
- The Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Oncology Clinic, Finsen Center, Rigshospitalet 5073, 2100, Copenhagen, Denmark
| | - Christian Kreis
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Carlotta Malagoli
- Research Center of Environmental (CREAGEN), Genetic and Nutritional Epidemiology University of Modena and Reggio Emilia, Modena, Italy
| | - Fabienne Marquant
- Epidemiology of Childhood and Adolescent Cancers, CRESS, INSERM, UMR 1153, Paris Descartes University, Villejuif, France
| | - Camilla Pedersen
- The Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Petersgraben 1, Basel, Switzerland
| | - Ben D Spycher
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Madhuri Sudan
- Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA.,Department of Public Health, Aarhus University, Aarhus, Denmark.,College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA, 91766-1854, USA
| | | | - Andrea Tittarelli
- Cancer Registry Unit, National Cancer Institute, Milan, 20133, Italy
| | - Deirdre M Tuck
- School of Medicine, University of Tasmania, Hobart, TAS, Australia.,Royal Hobart Hospital, Hobart, TAS, Australia
| | - Tore Tynes
- Department of Occupational Health Surveillance, National Institute of Occupational Health, Oslo, Norway
| | - Ximena Vergara
- Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA.,Energy and Environment Sector, Electric Power Research Institute, Palo Alto, CA, 94304, USA
| | - Marco Vinceti
- Research Center of Environmental (CREAGEN), Genetic and Nutritional Epidemiology University of Modena and Reggio Emilia, Modena, Italy.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Victor Wünsch-Filho
- Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, 01246-904, Brazil
| | - Leeka Kheifets
- Department of Epidemiology, University of California Los Angeles Fielding School of Public Health, Los Angeles, CA, 90095-1772, USA.
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