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Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change

The industrial development and the increase in the use of fossil fuels have been accelerating global warming and climate change, thereby causing more frequent and intense natural disasters than ever before. Since electrical facilities are generally installed outdoors, they are greatly affected by na...

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Autores principales: Jeong, Min-Chang, Kim, Jaehyuck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720669/
https://www.ncbi.nlm.nih.gov/pubmed/31434201
http://dx.doi.org/10.3390/ijerph16162984
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author Jeong, Min-Chang
Kim, Jaehyuck
author_facet Jeong, Min-Chang
Kim, Jaehyuck
author_sort Jeong, Min-Chang
collection PubMed
description The industrial development and the increase in the use of fossil fuels have been accelerating global warming and climate change, thereby causing more frequent and intense natural disasters than ever before. Since electrical facilities are generally installed outdoors, they are greatly affected by natural disasters, thus accidents related to electrical equipment has been on the rise. In this paper, we present the risk rating associated with climate change by analyzing the statistics of electrical fires, electric shock accidents and electrical equipment accidents caused by domestic climate change. Further, we present a risk rating analysis model for electrical fires on a monthly basis through the data analysis of electrical hazards associated with various regional (metropolitan city) climatic conditions (temperature, humidity), and analyze the accident risk rating for natural disasters related to low and high voltage equipment. Through this risk analysis model for each region and type of equipment, we presented a basic prediction model for electrical hazards. Therefore, it is possible to provide electrical safety services in the future by displaying a risk prediction map of electrical hazards for each region and type of electrical equipment through web sites or smart phone apps using the presented analysis data. Further, efforts should be made to increase the robustness or reliability of electrical equipment in order to prevent electrical accidents caused by natural disasters due to climate change in advance.
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spelling pubmed-67206692019-09-10 Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change Jeong, Min-Chang Kim, Jaehyuck Int J Environ Res Public Health Article The industrial development and the increase in the use of fossil fuels have been accelerating global warming and climate change, thereby causing more frequent and intense natural disasters than ever before. Since electrical facilities are generally installed outdoors, they are greatly affected by natural disasters, thus accidents related to electrical equipment has been on the rise. In this paper, we present the risk rating associated with climate change by analyzing the statistics of electrical fires, electric shock accidents and electrical equipment accidents caused by domestic climate change. Further, we present a risk rating analysis model for electrical fires on a monthly basis through the data analysis of electrical hazards associated with various regional (metropolitan city) climatic conditions (temperature, humidity), and analyze the accident risk rating for natural disasters related to low and high voltage equipment. Through this risk analysis model for each region and type of equipment, we presented a basic prediction model for electrical hazards. Therefore, it is possible to provide electrical safety services in the future by displaying a risk prediction map of electrical hazards for each region and type of electrical equipment through web sites or smart phone apps using the presented analysis data. Further, efforts should be made to increase the robustness or reliability of electrical equipment in order to prevent electrical accidents caused by natural disasters due to climate change in advance. MDPI 2019-08-20 2019-08 /pmc/articles/PMC6720669/ /pubmed/31434201 http://dx.doi.org/10.3390/ijerph16162984 Text en © 2019 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jeong, Min-Chang
Kim, Jaehyuck
Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title_full Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title_fullStr Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title_full_unstemmed Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title_short Prediction and Analysis of Electrical Accidents and Risk Due to Climate Change
title_sort prediction and analysis of electrical accidents and risk due to climate change
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720669/
https://www.ncbi.nlm.nih.gov/pubmed/31434201
http://dx.doi.org/10.3390/ijerph16162984
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