Preprints
https://doi.org/10.5194/egusphere-2025-772
https://doi.org/10.5194/egusphere-2025-772
11 Jun 2025
 | 11 Jun 2025
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Assessment of the vulnerability of buildings destroyed during postfire debris flow events in Kule village, Yajiang County, China

Jinshui Wang, Jiangang Chen, Lu Zeng, Fei Yang, Xiao Li, Wanyu Zhao, and Huayong Chen

Abstract. Debris flows are frequently triggered by rainstorms after wildfires and pose severe threats to the lives of downstream residents and buildings in mountainous regions. However, there has been limited focus on developing a comprehensive framework to assess the physical vulnerability of buildings to postfire debris flows. This study presents a quantitative approach for establishing a physical vulnerability model on the basis of the observed building damage features and simulated debris flow intensity values. Detailed field surveys were conducted in Kule village, Yajiang County, to analyse the characteristics of postfire debris flows and establish a building damage database. Numerical simulations using the FLO-2D model were performed to reproduce the debris flow process and quantify the debris flow intensity, including the flow depth, flow velocity, impact pressure, momentum flux, overturning moment, and relative burial height. Physical vulnerability curves were developed for brick–concrete buildings and compared with those obtained in previous studies, and the differences in vulnerability curves, intensity indicators, and functional models were examined. The results revealed that the lognormal cumulative distribution function (LNCDF) model provides the highest statistical significance in terms of the relative error and prediction accuracy. The momentum flux demonstrated greater sensitivity in distinguishing different damage categories, whereas the impact pressure provided more precise vulnerability index predictions. The proposed physical vulnerability model can be used to evaluate the structural resistance of buildings to debris flows in wildfire-affected areas, thus providing a systematic foundation for formulating risk management and mitigation strategies.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Jinshui Wang, Jiangang Chen, Lu Zeng, Fei Yang, Xiao Li, Wanyu Zhao, and Huayong Chen

Status: open (until 23 Jul 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2025-772', wei wang, 26 Jun 2025 reply
    • AC1: 'Reply on CC1', Jiangang Chen, 28 Jun 2025 reply
  • CC2: 'Comment on egusphere-2025-772', Xiaogang Guo, 10 Jul 2025 reply
Jinshui Wang, Jiangang Chen, Lu Zeng, Fei Yang, Xiao Li, Wanyu Zhao, and Huayong Chen
Jinshui Wang, Jiangang Chen, Lu Zeng, Fei Yang, Xiao Li, Wanyu Zhao, and Huayong Chen

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Short summary
Debris flows after wildfires threaten buildings, but assessing vulnerability remains challenging. This study develops a quantitative model to evaluate building vulnerability to postfire debris flows in Yajiang County. Field surveys and numerical simulations were used to analyze debris flow and quantify intensity. The results highlight differences in vulnerability models compared to previous studies, and provides a systematic framework for risk management strategies in wildfire-affected areas.
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