Dam Health Diagnosis Model Based on Cumulative Distribution Function

Zhenxiang Jiang (), Bo Wu and Hui Chen
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Zhenxiang Jiang: Nanchang Institute of Technology
Bo Wu: Nanchang Institute of Technology
Hui Chen: Nanchang Institute of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 11, No 5, 4293-4308

Abstract: Abstract Traditional methods for diagnosing dam health often rely on single point measurements, which require assumptions about the distributions of these measurements. These approaches fail to integrate multiple measured values for joint diagnosis and overlook the true distribution of the measured values, leading to potential misdiagnosis. This paper proposes a dam health diagnosis method based on kernel density estimation (KDE) and copula functions to address these limitations. The method incorporates a measurement analysis flow that extends from a single point to multiple points and establishes criteria for dam health diagnosis. In addition, this paper proposes to select the optimal copula function based on the Akaike information criterion (AIC). An engineering example is presented to demonstrate the proposed method's effectiveness in diagnosing a dam's health without assuming a specific measurement distribution function. This research contributes to the field of engineering safety management by enabling comprehensive dam health diagnosis from local dam states to the entire dam structure.

Keywords: Dam; Health diagnosis; Diagnostic criteria; Kernel density estimation; Copula function (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03553-6

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