Statistical Analysis of Tellico Dam Piezometer Data

by James H. French, TVA, Knoxville, TN, USA,
Bruce A. Tschantz, TVA, Knoxville, TN, USA,

Document Type: Proceeding Paper

Part of: Computing in Civil Engineering


The purpose of this paper is to demonstrate the use of statistical and computer processing methods as a tool for analyzing dam safety piezometric monitoring data. Statistical methods are used in this analysis to model a relationship between the head recorded by 72 individual piezometers and various time-averages of antecedent headwater and tailwater elevations at TVA's Tellico Dam, using regression. Linear probabilistic models based on steady-flow equations are determined to help interpret observed data. Results of a correlation analysis show generally strong correlation between the observed piezometric elevations and antecedent headwater/tailwater elevations. Correlation results were generally consistent with the location of the instrumentation within the respective sections. A regression analysis was applied to the piezometric data, and results are discussed. An important potential application for the regression analysis presented is in the area of data validation and quality control.

Subject Headings: Correlation | Statistics | Dams | Measuring instruments | Embankment dams | Porous media flow | Regression analysis | Computer analysis | London | United Kingdom | Europe | Tennessee | United States

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