- 1National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, China
- 2Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, China
- 3School of Geology and Mining Engineering, Xinjiang University, Urumqi, China
- 4Beijing Engineering Corporation Limited, Beijing, China
- 5China Railway Xi’an Group Company Limited, Xi’an, Shaanxi, China
- 6China Railway Design Corporation, Tianjin, China
by Liu H, Xu C, Feng L, Wang P, Sun J, Zhang X, Wang J, Sun Q and Li K (2026). Front. Earth Sci. 13:1722201. doi: 10.3389/feart.2025.1722201
A correction has been made to the section 4.3 Global Susceptibility Assessment of Large-Scale Landslide Relics, paragraph 2. The numerical values describing the areal extent of susceptibility zones were incorrectly transcribed. The correct paragraph appears below:
“As shown in Figure 22, the high and very high susceptibility zones in the study area are primarily concentrated in the central and southern regions. Furthermore, high and very high susceptibility zones are also observed in the northeastern part of the study area. The area of each susceptibility zone was statistically analyzed, and the area ratios were calculated. The results show that the very low susceptibility zone covers approximately 43,034.36 km2, accounting for 38.64% of the total study area; the low susceptibility zone covers about 23,240.75 km2, representing 20.87%; the moderate susceptibility zone covers roughly 18,063.42 km2, accounting for 16.22%; the high susceptibility zone covers approximately 15,939.49 km2, making up 14.31%; and the very high susceptibility zone covers around 11,092.54 km2, which is 9.96% of the total study area (Table 3). Overall, the southern section of the Beijing-Guangzhou Railway from Zhuzhou to Guangzhou is more prone to landslide hazards compared to the northern section, likely due to the steeper terrain and higher landslide risk in the southern region. Therefore, it is recommended that relevant authorities enhance monitoring and early warning systems in these high-risk areas, develop targeted disaster prevention and mitigation measures, and improve local residents’ awareness of disaster prevention and emergency response capabilities.”
The original article has been updated.
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Keywords: landslide susceptibility assessment, spatial distribution patterns, random forest, Beijing-Guangzhou railway, shap
Citation: Liu H, Xu C, Feng L, Wang P, Sun J, Zhang X, Wang J, Sun Q and Li K (2026) Correction: Spatial distribution patterns and landslide susceptibility analysis from a global–local perspective along the Zhuzhou-Guangzhou section of the Beijing–Guangzhou railway. Front. Earth Sci. 14:1791906. doi: 10.3389/feart.2026.1791906
Received: 20 January 2026; Accepted: 05 February 2026;
Published: 11 February 2026.
Edited and Reviewed by
Gordon Woo, Risk Management Solutions, United KingdomCopyright © 2026 Liu, Xu, Feng, Wang, Sun, Zhang, Wang, Sun and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chong Xu, eGMxMTExMTExMUAxMjYuY29t
Hanxing Liu1,2