{"title":"Landslide hazards in the Wudongde Reservoir (China): Analysis of frequency-magnitude characteristics based on self-organized criticality theory","authors":"Qiliang Liu, Fei Guo, Hongtao Tian, Ling Li, Xiaotao Ma, Mingxing Fu, Jianmang Zhang, Gang Zeng","doi":"10.1007/s12665-025-12509-5","DOIUrl":null,"url":null,"abstract":"<div><p>To characterize the magnitude-dependent distribution of landslide hazards in the Wudongde Reservoir area, the principle of maximum complexity is employed to analyze the physical mechanisms governing power-law distributions of landslides. A frequency-magnitude distribution curve is derived using a power-law function, with a focus on investigating the statistical characteristics of landslide frequency-magnitude distributions and their deviation effects. Results indicate that when the geometric mean value is constrained and the system complexity reaches its maximum, the power-law distribution represents the most probable probabilistic model for landslide frequency-magnitude relationships. The bank landslides in Wudongde Reservoir exhibit self-organized criticality (SOC) characteristics, with their frequency-magnitude distribution curve comprising two distinct components: a power-law segment and a deviating segment. While the power-law function adequately describes the former, the double Pareto and inverse Gamma functions are found to better capture both the power-law behavior and deviation effects. Among these, the inverse Gamma function demonstrates superior goodness-of-fit, likely due to its ability to model tail behavior in complex systems. Notably, the deviation effect in the frequency-magnitude distribution is not attributed to single factors (e.g., geological genesis mechanisms, slide mass thickness, landslide branching patterns, or left/right bank positions) but rather arises from the synergistic interaction of multiple geological factors.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-08-28","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/s12665-025-12509-5","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
To characterize the magnitude-dependent distribution of landslide hazards in the Wudongde Reservoir area, the principle of maximum complexity is employed to analyze the physical mechanisms governing power-law distributions of landslides. A frequency-magnitude distribution curve is derived using a power-law function, with a focus on investigating the statistical characteristics of landslide frequency-magnitude distributions and their deviation effects. Results indicate that when the geometric mean value is constrained and the system complexity reaches its maximum, the power-law distribution represents the most probable probabilistic model for landslide frequency-magnitude relationships. The bank landslides in Wudongde Reservoir exhibit self-organized criticality (SOC) characteristics, with their frequency-magnitude distribution curve comprising two distinct components: a power-law segment and a deviating segment. While the power-law function adequately describes the former, the double Pareto and inverse Gamma functions are found to better capture both the power-law behavior and deviation effects. Among these, the inverse Gamma function demonstrates superior goodness-of-fit, likely due to its ability to model tail behavior in complex systems. Notably, the deviation effect in the frequency-magnitude distribution is not attributed to single factors (e.g., geological genesis mechanisms, slide mass thickness, landslide branching patterns, or left/right bank positions) but rather arises from the synergistic interaction of multiple geological factors.
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.