School of Resource and Safety Engineering, Central South University, Changsha, China.
PLoS One. 2019 Nov 5;14(11):e0224312. doi: 10.1371/journal.pone.0224312. eCollection 2019.
To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system. Then, the cloud model theory is introduced to improve the importance scale and membership degree involved in the evaluation process, and the multi-level fuzzy comprehensive evaluation method of landslide risk improved by a cloud model is proposed. Thus, a multi-level fuzzy evaluation cloud model for evaluating landslide risk is established. Finally, using the improved cloud model method, a multistage fuzzy comprehensive evaluation of landslide risk is conducted for the K112+210~K112 +630 section of the Long Chuan to Huaiji Highway Project in Guangdong Province. The results show that the improved cloud model can solve the problem of uncertainty in the process of landslide preparation and occurrence, greatly improve the effectiveness of landslide evaluation results, and provide an effective reference for landslide disaster prevention.
为了准确研究滑坡灾害的风险评估，首先将诱发滑坡灾害的环境条件视为一个模糊系统，构建多级分析系统中的滑坡风险因素，建立多级模糊评价指标体系。然后，引入云模型理论来改进评价过程中涉及的重要性尺度和隶属度，提出基于云模型的滑坡风险多级模糊综合评价方法。从而建立了一个用于评估滑坡风险的多级模糊评价云模型。最后，利用改进的云模型方法，对广东省龙川县至怀集公路工程 K112+210~K112+630 段进行了多级模糊综合评价。结果表明，改进的云模型可以解决滑坡准备和发生过程中的不确定性问题，大大提高滑坡评价结果的有效性，为滑坡灾害防治提供有效参考。
