This paper develops an analytical approach for reliability analysis of infinite slope stability in presence of spatially variable shear strength parameters. The analytical approach considers spatial autocorrelation of each parameter and cross-correlations between different parameters. It is robust, computational efficient and provides insight to the importance of spatial correlation scale on slope reliability analysis. This paper also explores the difference in continuous and discrete random fields and emphasizes the importance of fine discretization in relation to correlation scale. Finally, it shows that conditioning the stability analysis with information about trends and spatial data leads to reliability assessments with less uncertainty.
This study examines relationships between model parameters and urbanization variables for evaluating urbanization effects in a watershed. Rainfall-runoff simulation using the Nash model is the main basis of the study. Mean rainfall and excesses resulting from time-variant losses were completed using the kriging and nonlinear programming methods, respectively. Calibrated parameters of 47 events were related to urbanized variables, change of shape parameter responds more sensitively than that of scale parameter based on comparisons between annual average and optimal interval methods. Regression equations were used to obtain four continuous correlations for linking shape parameter with urbanization variables. Verification of 10 events demonstrates that shape parameter responds more strongly to imperviousness than to population, and a power relationship is suitable. Therefore, an imperviousness variable is a major reference for analysing urbanization changes to a watershed. This study found that time to peak of IUH was reduced from 11.76 to 3.97 h, whereas peak discharge increased from 44.79 to 74.92 m 3 /s.
Identification des paramètres d'un hydrogramme et leurs relations aux variables d'urbanisationRésumé Cette étude examine les relations entre les paramètres d'un modèle et des variables d'urbanisation afin d'évaluer les effets de l'urbanisation dans un bassin versant. La simulation pluie-débit utilisant le modèle de Nash est la principale base de l'étude. La pluviométrie moyenne et les surplus résultant de pertes variant au cours du temps ont été estimés en utilisant respectivement le krigeage et la programmation non linéaire. Les paramètres calés de 47 événements ont été reliés à des variables d'urbanisation, les changements du paramètre de forme étant plus sensibles que ceux du paramètre d'échelle sur la base des comparaisons entre les moyennes annuelles et des méthodes d'intervalle optimum. Des équations de régression ont été utilisées pour obtenir quatre corrélations continues reliant le paramètre de forme avec les variables d'urbanisation. La vérification sur 10 événements démontre que le paramètre de forme réagit plus fortement à l'imperméabilisation qu'à la population, et une relation en puissance est appropriée. Par conséquent, une variable d'imperméabilisation constitue une référence majeure pour l'analyse des changements dus à l'urbanisation d'un bassin versant. Cette étude a révélé que le temps de montée de l'hydrogramme unitaire instantané a été réduit de 11.76 à 3.97 h, alors que le débit de pointe a augmenté de 44.79 à 74.92 m 3 /s.
A cross-correlation analysis is conducted to determine the impacts of the heterogeneity of hydraulic conductivity K s , soil cohesion c' and soil friction angle (tan φ') on the uncertainty of slope stability in time and space during rainfall. We find the relative importance of tan φ' and c' depends on the effective stress. While the sensitivity of the stability to the variability of K s is small, the large coefficient of variation of K s may exacerbate the variability of pore-water pressure. Therefore, characterizing the heterogeneity of hydraulic properties and pore-water distribution in the field is critical to the stability analysis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.