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Int J Environ Res Public Health. 2019 Aug 20;16(16). pii: E2984. doi: 10.3390/ijerph16162984.

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

Author information

1
Department of Electrical Engineering, Wonkwang University, Jeonbuk, Iksan 54538, Korea.
2
Department of Electrical Engineering, Wonkwang University, Jeonbuk, Iksan 54538, Korea. jaehkim@wku.ac.kr.

Abstract

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.

KEYWORDS:

climate change; electric safety; electrical accident; electrical fire; risk prediction; risk rating

PMID:
31434201
PMCID:
PMC6720669
DOI:
10.3390/ijerph16162984
[Indexed for MEDLINE]
Free PMC Article

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