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Key factors influencing earthquake-induced liquefaction and their direct and mediation effects.

ABSTRACT: Many factors impact earthquake-induced liquefaction, and there are complex interactions between them. Therefore, rationally identifying the key factors and clarifying their direct and indirect effects on liquefaction help to reduce the complexity of the predictive model and improve its predictive performance. This information can also help researchers understand the liquefaction phenomenon more clearly. In this paper, based on a shear wave velocity (Vs) database, 12 key factors are quantitatively identified using a correlation analysis and the maximum information coefficient (MIC) method. Subsequently, the regression method combined with the MIC method is used to construct a multiple causal path model without any assumptions based on the key factors for clarifying their direct and mediation effects on liquefaction. The results show that earthquake parameters produce more important influences on the occurrence of liquefaction than soil properties and site conditions, whereas deposit type, soil type, and deposit age produce relatively small impacts on liquefaction. In the multiple causal path model, the influence path of each factor on liquefaction becomes very clear. Among the key factors, in addition to the duration of the earthquake and Vs, other factors possess multiple mediation paths that affect liquefaction; the thickness of the critical layer and thickness of the unsaturated zone between the groundwater table and capping layer are two indirect-only mediators, and the fines content and thickness of the impermeable capping layer induce suppressive effects on liquefaction. In addition, the constructed causal model can provide a logistic regression model and a structure of the Bayesian network for predicting liquefaction. Five-fold cross-validation is used to compare and verify their predictive performances.

SUBMITTER: Hu J

PROVIDER: S-EPMC7888622 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Key factors influencing earthquake-induced liquefaction and their direct and mediation effects.

Hu Jilei J Tan Yunzhi Y Zou Wenjun W

PloS one 20210217 2

Many factors impact earthquake-induced liquefaction, and there are complex interactions between them. Therefore, rationally identifying the key factors and clarifying their direct and indirect effects on liquefaction help to reduce the complexity of the predictive model and improve its predictive performance. This information can also help researchers understand the liquefaction phenomenon more clearly. In this paper, based on a shear wave velocity (Vs) database, 12 key factors are quantitativel ...[more]

PMID: 33596213

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Project description:BackgroundAssistance from non-professional disaster volunteers (hereinafter, volunteers) is essential for disaster victims to recover physically and rebuild their lives; however, disaster victims in some areas are reluctant to accept assistance from volunteers. This study explored factors that may influence collaborative activities between volunteers and victims of earthquake disasters.MethodsFrom July to September 2008, a self-reporting questionnaire survey was conducted with all 302 leaders of neighborhood associations in a city within Niigata Prefecture at the time of the Niigataken Chuetsu-oki Earthquake in 2007. Each factor was determined based on the Health Belief Model. Multiple regression analysis was conducted, using collaborative activities as the objective variable.ResultsFrom 261 valid responses received (response rate 86.4%), 41.3% of leaders collaborated with volunteers, and 60.2% of associations had residents who collaborated with volunteers. Collaboration with volunteers was significantly and positively related to perceived severity of an earthquake disaster (standardized partial regression coefficient ??=?0.224, p<0.001) and neighborhood association activities during the earthquake disaster (??=?0.539, p<0.001). A positive and marginally significant relation was found between such collaboration and sense of coherence within a community (??=?0.137, p?=?0.06), social capital (??=?0.119, p?=?0.08), and perceived benefits (??=?0.116, p?=?0.09).ConclusionCollaboration between disaster victims and volunteers during the response to an earthquake may require the preemptive estimation of damage by residents during normal times and the enhancement of neighborhood association activities during a disaster. For residents to have such estimation abilities, public institutions should provide information related to anticipated disaster damage and appropriate disaster prevention training and education. In addition, residents should create a disaster prevention map with other residents. Lastly, promoting neighborhood association activities may require the participation of many residents in disaster drills and education as well as a preemptive discussion of neighborhood activities during a disaster.

Project description:The massive quantities of bacterial genomic data being generated have facilitated in-depth analyses of bacteria for pan-genomic studies. However, the pan-genome compositions of one species differed significantly between different studies, so we used Staphylococcus aureus as a model organism to explore the influences driving bacterial pan-genome composition. We selected a series of diverse strains for pan-genomic analysis to explore the pan-genomic composition of S. aureus at the species level and the actual contribution of influencing factors (sequence type [ST], source of isolation, country of isolation, and date of collection) to pan-genome composition. We found that the distribution of core genes in bacterial populations restrained under different conditions differed significantly and showed "local core gene regions" in the same ST. Therefore, we propose that ST may be a key factor driving the dynamic distribution of bacterial genomes and that phylogenetic analyses using whole-genome alignment are no longer appropriate in populations containing multiple ST strains. Pan-genomic analysis showed that some of the housekeeping genes of multilocus sequence typing (MLST) are carried at less than 60% in S. aureus strains. Consequently, we propose a new set of marker genes for the classification of S. aureus, which provides a reference for finding a new set of housekeeping genes to apply to MLST. In this study, we explored the role of driving factors influencing pan-genome composition, providing new insights into the study of bacterial pan-genomes. IMPORTANCE We sought to explore the impact of driving factors influencing pan-genome composition using Staphylococcus aureus as a model organism to provide new insights for the study of bacterial pan-genomes. We believe that the sequence type (ST) of the strains under consideration plays a significant role in the dynamic distribution of bacterial genes. Our findings indicate that there are a certain number of essential genes in Staphylococcus aureus; however, the number of core genes is not as high as previously thought. The new classification method proposed herein suggests that a new set of housekeeping genes more suitable for Staphylococcus aureus must be identified to improve the current classification status of this species.

Project description:Background The organ transplantation sector in China is facing a severe shortage of donors, and the organ donation rate needs to be increased. Since 2015, voluntary donation by citizens has become the only source of organs for transplantation in China. In recent years, there has been a relatively positive change in young people's attitudes toward organ donation after death. The aim of the study was to understand young people's perceptions and attitudes toward organ donation and the factors that influence them and can positively impact the promotion of organ donation. Methods By analyzing relevant literature and legal texts, we developed a questionnaire. Information was obtained through questionnaires and interviews, and 501 valid questionnaires were returned from the target group. A chi-square test was used to examine whether there were significant differences in the willingness to organ donation among young people with different characteristics. A factor analysis was used to investigate the main factors influencing the different attitudes of young people toward organ donation, and a one-way ANOVA was used to examine whether young people with different characteristics were affected differently by different factors. Results In our survey of young people aged 18–30 years, 99.2% of respondents knew about organ donation, 47.1% were willing to donate organs, and 15.2% understood that there were corresponding laws and regulations for organ donation. The study's findings showed that urban residents are more willing to be organ donators than rural residents; people with higher education levels have better awareness and are more willing to donate an organ; and people with religious beliefs are more likely to donate organs. The main factors that support the willingness of young people to donate are the social environment that provides support, their optimism in dealing with death, and their desire to realize their final value after death. The main factors for those unwilling to donate were low awareness or misconceptions about organ donation among individuals and their families and their attitudes toward death. As the people who took the questionnaire are probably interested in organ donation, the sample results will show a higher percentage of people who know about organ donation. We hope to discuss further with a larger and broader sample coverage to improve the estimates' validity and reflect the overall picture more accurately in a future study. Conclusion Young people knew about organ donation but had a low depth of awareness. Household registration type, education level, and religious affiliation significantly correlate with people's willingness to donate. The supportive environment for organ donation in society and the correct understanding of the organ donation process and laws and regulations can influence people's willingness to donate.

Dataset Information

Key factors influencing earthquake-induced liquefaction and their direct and mediation effects.

Publications

Key factors influencing earthquake-induced liquefaction and their direct and mediation effects.

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