Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model


Autoři: Xuelin Yao aff001;  Hongwei Deng aff001;  Ti Zhang aff001;  Yaguang Qin aff001
Působiště autorů: School of Resource and Safety Engineering, Central South University, Changsha, China aff001
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0224312

Souhrn

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.

Klíčová slova:

Geographic information systems – Geology – Geomorphology – China – Language – Rivers – Mountains – Structural geology


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Článek vyšel v časopise

PLOS One


2019 Číslo 11