Assessment and Mapping of Extreme Ice Accretion Damage on Electricity Infrastructure Due to Freezing Rain in China
Junfei Liu , Ming Wang , Kai Liu
International Journal of Disaster Risk Science ›› 2026, Vol. 17 ›› Issue (3) : 548 -570.
Extreme weather events, particularly freezing rain (FR), pose significant threats to electricity infrastructure through ice accretion on transmission lines and towers. This study conducted a comprehensive national-scale assessment of FR impacts on China’s electricity infrastructure using an enhanced methodological framework. We integrated high-resolution (0.1°) gridded FR data spanning 2000–2019 with infrastructure data from OpenStreetMap, developing Gaussian kernel density estimation models to map damage probability distributions and employing generalized extreme value distributions to project future vulnerabilities. Our analysis quantified combined ice and wind loads on high-voltage (HV) lines and transmission towers, assessed damage probabilities, and evaluated the effectiveness of de-icing (DI) measures across different return periods (50, 100, 200, and 500 years). The results reveal distinct spatial patterns of risk, with Hunan Province consistently emerging as the most critical hotspot. Feature importance analysis using random forest methodology demonstrated that ice load dominated HV line failures (60–85% importance), while transmission towers exhibited more complex risk patterns with significant contributions from drag forces (30–50%) in southern regions. Model validation against the catastrophic 2008 ice storm shows strong predictive capabilities (R2 > 0.95) for most provinces. Critically, while DI measures effectively reduce risk for moderate events (50-year return period), their effectiveness diminishes substantially for extreme scenarios (500-year return period), with high-risk categories persisting in provinces like Hunan, Hubei, Yunnan, and Zhejiang Provinces. These findings provide actionable insights for developing targeted, region-specific resilience strategies and highlight the need for adaptive risk management approaches that scale with event severity across China’s diverse geographical regions.
China / Electricity infrastructure / Freezing rain / Ice accretion / Risk assessment
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
Chen, X., Q. Huang, and Y. Zhou. 2024. Transmission line outage probability prediction under extreme events using Peter-Clark Bayesian structural learning. arXiv preprint arXiv: 2411.11980. |
| [5] |
China Electricity Council. 2008. Report on the impact of low temperature, rain, snow and ice disasters on power systems. Beijing: China Electricity Council. |
| [6] |
Farzaneh, M. 2008. Atmospheric icing of power networks. Heidelberg, Germany: Springer Science & Business Media. |
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
Gu, X., J. Liu, Y. Yuan, and J. Qu. 2024. Neural network prediction model for transmission line icing in freezing rain conditions based on multi-source data fusion. Paper read at Intelligent Computing Technology and Automation: Proceedings of the 16th International Conference (ICICTA 2023), 24–25 October 2023, Xi’an, China. |
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
Krishnasamy, S.G. 1985. Assessment of weather induced transmission line loads on a probabilistic basis. IEEE Transactions on Power Apparatus and Systems PAS-104(9): 2509–2516. |
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
Liu, J., K. Liu, and M. Wang. 2024. A 6-hourly 0.1° resolution freezing rain dataset of China during 2000–2019 based on deep kernel learning. Data set. Zenodo. https://doi.org/10.5281/zenodo.12776640. |
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
Lu, J., J. Guo, Z. Jian, Y. Yang, and W. Tang. 2018. Dynamic assessment of resilience of power transmission systems in ice disasters. Paper read at 2018 International Conference on Power System Technology (POWERCON), 6–8 November 2018, Guangzhou, China. |
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
Ministry of Construction of the People’s Republic of China. GB 50135–2006 Design of high-rise structure, 2006. Beijing, China Architecture & Building Press |
| [37] |
News Office of the State Council. 2008. News briefing on the situation of the current snow ice storm. Beiijing: News Office of the State Council |
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
State Grid Corporation of China. China electric power yearbook 2009, 2009. Beijing, State Grid Corporation of China |
| [45] |
|
| [46] |
|
| [47] |
The Central People’s Government of the People’s Republic of China. Rain, snow and ice: The first “natural disaster test” in 2011 in China’s southern provinces, 2011. Beijing, The Central People’s Government of the People’s Republic of China |
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
Zhou, X., Y. Zhu, Y. Zhang, and H. Li. 2022. A review of anti-icing and de-icing technology of overhead ground wire. Paper read at 2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), 25–27 Chiang Mai, Thailand. |
The Author(s)
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