Paper
15 November 2023 A study on identification of key factors influencing microtopography prone to ice accretion in plateau mountainous areas
Qili Zhang, Qiang Fan, Jianrong Wu, Shuzhou Xiao, Jiyulei Dai, Jinqiang He
Author Affiliations +
Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151X (2023) https://doi.org/10.1117/12.3010333
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
Plateau mountainous regions exhibit complex and diverse terrain characteristics, with varying altitudes and extensive land coverage. These areas are subject to a complex and diverse climate, particularly during the period from November to March, where the intricate microtopography in the plateau mountainous areas leads to highly complicated local weather conditions. Under adverse geographical and micro-meteorological environments, these regions are prone to transmission line icing disasters. The main factors influencing ice accretion on vulnerable microtopography differ according to different microtopographic types. This study focuses on the Guizhou region as the research object and divides it into different zones based on its geographical and climatic conditions. Within these zones, analysis and modeling are conducted for ridge lines, valleys, passes, and windward slopes. Finally, through cross-validation of the models and comprehensive analysis of the results, the key factors influencing ice accretion on various types of vulnerable microtopography in different zones are identified.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qili Zhang, Qiang Fan, Jianrong Wu, Shuzhou Xiao, Jiyulei Dai, and Jinqiang He "A study on identification of key factors influencing microtopography prone to ice accretion in plateau mountainous areas", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151X (15 November 2023); https://doi.org/10.1117/12.3010333
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KEYWORDS
Air temperature

Ice

Relative humidity

Random forests

Power grids

Decision trees

Education and training

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