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Sensors 2018, 18(6), 1941;

A Model Design for Risk Assessment of Line Tripping Caused by Wildfires

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
School of Electronic Information, Wuhan University, Wuhan 430072, China
State Grid Economic and Technological Research Institute Co. Ltd., Beijing 102209, China
Author to whom correspondence should be addressed.
Received: 20 April 2018 / Revised: 5 June 2018 / Accepted: 12 June 2018 / Published: 14 June 2018
(This article belongs to the Special Issue Remote Sensing and GIS for Geo-Hazards and Disasters)
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A power line is particularly vulnerable to wildfires in its vicinity, and various damage including line tripping can be caused by wildfires. Using remote sensing techniques, a novel model developed to assess the risk of line tripping caused by the wildfire occurrence in high-voltage power line corridors is presented. This model mainly contains the wildfire risk assessment for power line corridors and the estimation of the probability of line tripping when a wildfire occurs in power line corridors. For the wildfire risk assessment, high-resolution satellite data, Moderate Resolution Imaging Spectroradiometer (MODIS) data, meteorological data, and digital elevation model (DEM) data were employed to infer the natural factors. Human factors were also included to achieve good reliability. In the estimation of the probability of line tripping, vegetation characteristics, meteorological status, topographic conditions, and transmission line parameters were chosen as influencing factors. According to the above input variables and observed historical datasets, the risk levels for wildfire occurrence and line tripping were obtained with a logic regression approach. The experimental results demonstrate that the developed model can provide good results in predicting wildfire occurrence and line tripping for high-voltage power line corridors. View Full-Text
Keywords: high-voltage power line corridors; line tripping; logic regression; risk assessment; wildfire occurrence high-voltage power line corridors; line tripping; logic regression; risk assessment; wildfire occurrence

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Shi, S.; Yao, C.; Wang, S.; Han, W. A Model Design for Risk Assessment of Line Tripping Caused by Wildfires. Sensors 2018, 18, 1941.

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