Numerical simulation of landslide-generated waves based on multiphase smoothed particle hydrodynamics method with a case study of Wangjiashan landslide
{"title":"Numerical simulation of landslide-generated waves based on multiphase smoothed particle hydrodynamics method with a case study of Wangjiashan landslide","authors":"Yu Li, Qiming Zhong, Hao Wu, Jizhixian Liu, Shengyao Mei, Haiyong Wang","doi":"10.1007/s12665-024-12036-9","DOIUrl":null,"url":null,"abstract":"<div><p>Landslide-generated waves pose significant risks. They can cause substantial economic losses and casualties. Accurate prediction of landslide-generated wave characteristics and potential consequences is critical for effective disaster management. In this study, a detailed simulation approach for landslide-generated waves using the multiphase smoothed particle hydrodynamics (MSPH) method has been developed, which can consider the soil–water interaction. Unlike traditional methods that treat landslide bodies as rigid blocks or discrete particles, the MSPH method accounts for the internal constitutive relationships and large deformations of the landslide mass. This method demonstrates superior performance in handling complex grid distortions, strong nonlinearities, and discontinuities in wave generation zones. After validating the model against experimental data, the MSPH method has been applied to simulate the Wangjiashan landslide. A total of 18 monitoring points were used to track the propagation of the landslide-generated wave. The simulation results show a maximum wave height of 5.73 m, which is close to those derived from alternative methods, thereby confirming the model’s accuracy. The simulation results not only enhance the understanding of landslide dynamics but also provide critical insights into wave behavior in reservoir environments, offering valuable guidance for disaster mitigation and risk management.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-024-12036-9","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Landslide-generated waves pose significant risks. They can cause substantial economic losses and casualties. Accurate prediction of landslide-generated wave characteristics and potential consequences is critical for effective disaster management. In this study, a detailed simulation approach for landslide-generated waves using the multiphase smoothed particle hydrodynamics (MSPH) method has been developed, which can consider the soil–water interaction. Unlike traditional methods that treat landslide bodies as rigid blocks or discrete particles, the MSPH method accounts for the internal constitutive relationships and large deformations of the landslide mass. This method demonstrates superior performance in handling complex grid distortions, strong nonlinearities, and discontinuities in wave generation zones. After validating the model against experimental data, the MSPH method has been applied to simulate the Wangjiashan landslide. A total of 18 monitoring points were used to track the propagation of the landslide-generated wave. The simulation results show a maximum wave height of 5.73 m, which is close to those derived from alternative methods, thereby confirming the model’s accuracy. The simulation results not only enhance the understanding of landslide dynamics but also provide critical insights into wave behavior in reservoir environments, offering valuable guidance for disaster mitigation and risk management.
期刊介绍:
Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth:
Water and soil contamination caused by waste management and disposal practices
Environmental problems associated with transportation by land, air, or water
Geological processes that may impact biosystems or humans
Man-made or naturally occurring geological or hydrological hazards
Environmental problems associated with the recovery of materials from the earth
Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources
Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials
Management of environmental data and information in data banks and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment
In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.